DIGIMAT LEARNING MANAGEMENT PLATFORM

Computer Science and Engineering (11,932 Video Lectures)

Link	NPTEL Course Name	NPTEL Lecture Title
Link	Natural Language Processing	Lecture 1 - Introduction
Link	Natural Language Processing	Lecture 2 - Stages of NLP
Link	Natural Language Processing	Lecture 3 - Stages of NLP Continue...
Link	Natural Language Processing	Lecture 4 - Two approaches to NLP
Link	Natural Language Processing	Lecture 5 - Sequence Labelling and Noisy Channel
Link	Natural Language Processing	Lecture 6 - Noisy Channel: Argmax Based Computation
Link	Natural Language Processing	Lecture 7 - Argmax Based Computation
Link	Natural Language Processing	Lecture 8 - Noisy Channel Application to NLP
Link	Natural Language Processing	Lecture 9 - Brief on Probabilistic Parsing & Start of Part of Speech Tagging
Link	Natural Language Processing	Lecture 10 - Part of Speech Tagging
Link	Natural Language Processing	Lecture 11 - Part of Speech Tagging counted ...
Link	Natural Language Processing	Lecture 12 - Part of Speech Tagging counted ... and Indian Language in Focus; Morphology Analysis
Link	Natural Language Processing	Lecture 13 - PoS Tagging contd... , Indian Language Consideration; Accuracy Measure
Link	Natural Language Processing	Lecture 14 - PoS Tagging; Fundamental Principle; Why Challenging; accuracy
Link	Natural Language Processing	Lecture 15 - PoS Tagging; Accuracy Measurement; Word categories
Link	Natural Language Processing	Lecture 16 - AI and Probability; HMM
Link	Natural Language Processing	Lecture 17 - HMM
Link	Natural Language Processing	Lecture 18 - HMM, Viterbi, Forward Backward Algorithm
Link	Natural Language Processing	Lecture 19 - HMM, Viterbi, Forward Backward Algorithm (Continued...)
Link	Natural Language Processing	Lecture 20 - HMM, Forward Backward Algorithms, Baum Welch Algorithm
Link	Natural Language Processing	Lecture 21 - HMM, Forward Backward Algorithms, Baum Welch Algorithm (Continued...)
Link	Natural Language Processing	Lecture 22 - Natural Language Processing and Informational Retrieval
Link	Natural Language Processing	Lecture 23 - CLIA; IR Basics
Link	Natural Language Processing	Lecture 24 - IR Models: Boolean Vector
Link	Natural Language Processing	Lecture 25 - IR Models: NLP and IR Relationship
Link	Natural Language Processing	Lecture 26 - NLP and IR: How NLP has used IR, Toward Latent Semantic
Link	Natural Language Processing	Lecture 27 - Least Square Method; Recap of PCA; Towards Latent Semantic Indexing (LSI)
Link	Natural Language Processing	Lecture 28 - PCA; SVD; Towards Latent Semantic Indexing (LSI)
Link	Natural Language Processing	Lecture 29 - Wordnet and Word Sense Disambiguation
Link	Natural Language Processing	Lecture 30 - Wordnet and Word Sense Disambiguation (Continued...)
Link	Natural Language Processing	Lecture 31 - Wordnet; Metonymy and Word Sense Disambiguation
Link	Natural Language Processing	Lecture 32 - Word Sense Disambiguation
Link	Natural Language Processing	Lecture 33 - Word Sense Disambiguation; Overlap Based Method; Supervised Method
Link	Natural Language Processing	Lecture 34 - Word Sense Disambiguation: Supervised and Unsupervised methods
Link	Natural Language Processing	Lecture 35 - Word Sense Disambiguation: Semi - Supervised and Unsupervised method; resource - constrained WSD
Link	Natural Language Processing	Lecture 36 - Resource Constrained WSD; Parsing
Link	Natural Language Processing	Lecture 37 - Parsing
Link	Natural Language Processing	Lecture 38 - Parsing Algorithm
Link	Natural Language Processing	Lecture 39 - Parsing Ambiguous Sentences; Probabilistic Parsing
Link	Natural Language Processing	Lecture 40 - Probabilistic Parsing Algorithms
Link	Design and Analysis of Algorithms	Lecture 1 - Overview of the course
Link	Design and Analysis of Algorithms	Lecture 2 - Framework for Algorithms Analysis
Link	Design and Analysis of Algorithms	Lecture 3 - Algorithms Analysis Framework - II
Link	Design and Analysis of Algorithms	Lecture 4 - Asymptotic Notations
Link	Design and Analysis of Algorithms	Lecture 5 - Algorithm Design Techniques : Basics
Link	Design and Analysis of Algorithms	Lecture 6 - Divide And Conquer - I
Link	Design and Analysis of Algorithms	Lecture 7 - Divide And Conquer - II Median Finding
Link	Design and Analysis of Algorithms	Lecture 8 - Divide And Conquer - III Surfing Lower Bounds
Link	Design and Analysis of Algorithms	Lecture 9 - Divide And Conquer - IV Closest Pair
Link	Design and Analysis of Algorithms	Lecture 10 - Greedy Algorithms - I
Link	Design and Analysis of Algorithms	Lecture 11 - Greedy Algorithms - II
Link	Design and Analysis of Algorithms	Lecture 12 - Greedy Algorithms - III
Link	Design and Analysis of Algorithms	Lecture 13 - Greedy Algorithms - IV
Link	Design and Analysis of Algorithms	Lecture 14 - Pattern Matching - I
Link	Design and Analysis of Algorithms	Lecture 15 - Pattern Matching - II
Link	Design and Analysis of Algorithms	Lecture 16 - Combinational Search and Optimization - I
Link	Design and Analysis of Algorithms	Lecture 17 - Combinational Search and Optimization - II
Link	Design and Analysis of Algorithms	Lecture 18 - Dynamic Programming
Link	Design and Analysis of Algorithms	Lecture 19 - Longest Common Subsequences
Link	Design and Analysis of Algorithms	Lecture 20 - Matrix Chain Multiplication
Link	Design and Analysis of Algorithms	Lecture 21 - Scheduling with Startup and Holding Costs
Link	Design and Analysis of Algorithms	Lecture 22 - Average case Analysis of Quicksort
Link	Design and Analysis of Algorithms	Lecture 23 - Bipartite Maximum Matching
Link	Design and Analysis of Algorithms	Lecture 24 - Lower Bounds for Sorting
Link	Design and Analysis of Algorithms	Lecture 25 - Element Distinctness Lower Bounds
Link	Design and Analysis of Algorithms	Lecture 26 - NP-Completeness - I - Motivation
Link	Design and Analysis of Algorithms	Lecture 27 - NP-Completeness - II
Link	Design and Analysis of Algorithms	Lecture 28 - NP-Completeness - III
Link	Design and Analysis of Algorithms	Lecture 29 - NP-Completeness - IV
Link	Design and Analysis of Algorithms	Lecture 30 - NP-Completeness - V
Link	Design and Analysis of Algorithms	Lecture 31 - NP-Completeness - VI
Link	Design and Analysis of Algorithms	Lecture 32 - Approximation Algorithms
Link	Design and Analysis of Algorithms	Lecture 33 - Approximation Algorithms
Link	Design and Analysis of Algorithms	Lecture 34 - Approximation Algorithms for NP
Link	Software Engineering	Lecture 1 - Introduction to Software Engineering - Challenges
Link	Software Engineering	Lecture 2 - Introduction to Software Engineering
Link	Software Engineering	Lecture 3 - Overview of Phases
Link	Software Engineering	Lecture 4 - Overview of Phases
Link	Software Engineering	Lecture 5 - Requirements Engineering / Specification
Link	Software Engineering	Lecture 6 - Formal Specification
Link	Software Engineering	Lecture 7 - Algebraic Specification Methods
Link	Software Engineering	Lecture 8 - Systems Modeling Overview
Link	Software Engineering	Lecture 9 - Process Modeling - DFD , Function Decomp
Link	Software Engineering	Lecture 10 - Process Modeling - DFD, Function Decomp
Link	Software Engineering	Lecture 11 - Data Modeling - ER Diagrams, Mapping
Link	Software Engineering	Lecture 12 - Data Modeling - ER Diagrams, Mapping
Link	Software Engineering	Lecture 13 - Production Quality Software - Introduction
Link	Software Engineering	Lecture 14 - Software Design - Primary Consideration
Link	Software Engineering	Lecture 15 - Design Patterns
Link	Software Engineering	Lecture 16 - Class and Component Level Design
Link	Software Engineering	Lecture 17 - Architectural Design
Link	Software Engineering	Lecture 18 - Software Testing - I
Link	Software Engineering	Lecture 19 - Software Testing - II
Link	Software Engineering	Lecture 20 - Structural Programming and Some implementation
Link	Software Engineering	Lecture 21 - Software Metrics and Quality
Link	Software Engineering	Lecture 22 - Verification and Validation
Link	Software Engineering	Lecture 23 - Case Study
Link	Software Engineering	Lecture 24 - Case Study
Link	Software Engineering	Lecture 25 - Software Evolution
Link	Software Engineering	Lecture 26 - Agile Development
Link	Software Engineering	Lecture 27 - Software Reuse CBSE
Link	Software Engineering	Lecture 28 - Reuse Continued
Link	Software Engineering	Lecture 29 - Introduction to Project Management
Link	Software Engineering	Lecture 30 - Project Scope Management
Link	Software Engineering	Lecture 31 - Project Time Management
Link	Software Engineering	Lecture 32 - Estimation - I
Link	Software Engineering	Lecture 33 - Estimation - II
Link	Software Engineering	Lecture 34 - Project Quality Management
Link	Software Engineering	Lecture 35 - Quality Management Systems - I
Link	Software Engineering	Lecture 36 - Quality Management Systems
Link	Software Engineering	Lecture 37 - Project Configuration Management
Link	Software Engineering	Lecture 38 - Project Risk Management
Link	Software Engineering	Lecture 39 - Other PM Processes
Link	NOC:Software Testing (2017)	Lecture 1 - Motivation
Link	NOC:Software Testing (2017)	Lecture 2 - Terminologies
Link	NOC:Software Testing (2017)	Lecture 3 - Testing based on Models and Criteria
Link	NOC:Software Testing (2017)	Lecture 4 - Automation - JUnit as an example
Link	NOC:Software Testing (2017)	Lecture 5 - Basics of Graphs: As used in testing
Link	NOC:Software Testing (2017)	Lecture 6 - Structural Graph Coverage Criteria
Link	NOC:Software Testing (2017)	Lecture 7 - Elementary Graph Algorithms - Part 1
Link	NOC:Software Testing (2017)	Lecture 8 - Elementary Graph Algorithms - Part 2
Link	NOC:Software Testing (2017)	Lecture 9 - Algorithms: Structural Graph Coverage Criteria
Link	NOC:Software Testing (2017)	Lecture 10 - Assignment 2: Structural Coverage Criteria
Link	NOC:Software Testing (2017)	Lecture 11 - Data Flow Graphs
Link	NOC:Software Testing (2017)	Lecture 12 - Algorithms: Data Flow Graph Coverage Criteria
Link	NOC:Software Testing (2017)	Lecture 13 - Graph Coverage Criteria: Applied to Test Code
Link	NOC:Software Testing (2017)	Lecture 14 - Testing Source Code: Classical Coverage Criteria
Link	NOC:Software Testing (2017)	Lecture 15 - Data Flow Graph Coverage Criteria : Applied to Test Code
Link	NOC:Software Testing (2017)	Lecture 16 - Software Design and Integration Testing
Link	NOC:Software Testing (2017)	Lecture 17 - Design Integration Testing and Graph Coverage
Link	NOC:Software Testing (2017)	Lecture 18 - Specification Testing and Graph Coverage
Link	NOC:Software Testing (2017)	Lecture 19 - Graph Coverage and Finite state Machines
Link	NOC:Software Testing (2017)	Lecture 20 - Assignment 4: Graph Coverage Criteria
Link	NOC:Software Testing (2017)	Lecture 21 - Logic: Basics Needed for Software Testing
Link	NOC:Software Testing (2017)	Lecture 22 - Logic: Coverage Criteria
Link	NOC:Software Testing (2017)	Lecture 23 - Coverage Criteria, (Continued...)
Link	NOC:Software Testing (2017)	Lecture 24 - Logic Coverage Criteria
Link	NOC:Software Testing (2017)	Lecture 25 - Logic Coverage Criteria: Applied to Test Code_1
Link	NOC:Software Testing (2017)	Lecture 26 - Logic Coverage Criteria: Applied to Test Code_2
Link	NOC:Software Testing (2017)	Lecture 27 - Logic Coverage Criteria: Issues in Applying to Test Code
Link	NOC:Software Testing (2017)	Lecture 28 - Logic Coverage Criteria: Applied to Test Specifications
Link	NOC:Software Testing (2017)	Lecture 29 - Logic Coverage Criteria: Applied to Finite State Machines
Link	NOC:Software Testing (2017)	Lecture 30 - Week 6 Assignment Solving
Link	NOC:Software Testing (2017)	Lecture 31 - Functional Testing
Link	NOC:Software Testing (2017)	Lecture 32 - Input Space Partitioning
Link	NOC:Software Testing (2017)	Lecture 33 - Input Space Partitioning: Coverage Criteria
Link	NOC:Software Testing (2017)	Lecture 34 - Input Space Partitioning Coverage Criteria: Example
Link	NOC:Software Testing (2017)	Lecture 35 - Syntax-Based Testing
Link	NOC:Software Testing (2017)	Lecture 36 - Mutatioon Testing
Link	NOC:Software Testing (2017)	Lecture 37 - Mutation Testing for Programs
Link	NOC:Software Testing (2017)	Lecture 38 - Mutation Testing: Mutation Operators for Source Code
Link	NOC:Software Testing (2017)	Lecture 39 - Mutation Testing Vs. Graphs and Logic Based Testing
Link	NOC:Software Testing (2017)	Lecture 40 - Assignment Solving for Week8
Link	NOC:Software Testing (2017)	Lecture 41 - Mutation testing
Link	NOC:Software Testing (2017)	Lecture 42 - Mutation Testing : Mutation for integration
Link	NOC:Software Testing (2017)	Lecture 43 - Mutation testing : Grammars and inputs
Link	NOC:Software Testing (2017)	Lecture 44 - Software Testing Course: Summary after Week 9
Link	NOC:Software Testing (2017)	Lecture 45 - Testing of web Applications and Web Services
Link	NOC:Software Testing (2017)	Lecture 46 - Testing of web Applications and Web Services
Link	NOC:Software Testing (2017)	Lecture 47 - Testing of web Applications and Web Services
Link	NOC:Software Testing (2017)	Lecture 48 - Testing of Object-Oriented Applications
Link	NOC:Software Testing (2017)	Lecture 49 - Testing of Object-Oriented Applications
Link	NOC:Software Testing (2017)	Lecture 50 - Symbolic Testing - 1
Link	NOC:Software Testing (2017)	Lecture 51 - Symbolic Testing - 2
Link	NOC:Software Testing (2017)	Lecture 52 - DART: Directed Automated Random Testing - 1
Link	NOC:Software Testing (2017)	Lecture 53 - DART: Directed Automated Random Testing - 2
Link	NOC:Software Testing (2017)	Lecture 54 - DART: Directed Automated Random Testing - 3
Link	NOC:Software Testing (2017)	Lecture 55 - Testing of Object-Oriented Applications
Link	NOC:Software Testing (2017)	Lecture 56 - Testing of Mobile Applications
Link	NOC:Software Testing (2017)	Lecture 57 - Non-Functional System Testing
Link	NOC:Software Testing (2017)	Lecture 58 - Regression Testing
Link	NOC:Software Testing (2017)	Lecture 59 - Assignment: Week 11 Solving
Link	NOC:Software Testing (2017)	Lecture 60 - Software Testing: Summary at the End of the Course
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 1 - Course Overview
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 2 - Introduction and Survey.0: The standard approach to introductory programming
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 3 - Introduction and Survey.1: Experience with the standard approach
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 4 - Introduction and Survey.2: Alternative approaches, Summary, and Conclusion
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 5 - Basic Ideas in Our Approach.0: Introduction
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 6 - Basic Ideas in Our Approach.1: Examples of translating manual algorithms to computer programs
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 7 - Basic Ideas in Our Approach.2: More examples
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 8 - Basic Ideas in Our Approach.3: Should we teach students (manual) problem solving strategies?
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 9 - Basic Ideas in Our Approach.4: The design of the course
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 10 - Basic Ideas in Our Approach.5: Remarks on individual topics - 1
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 11 - Basic Ideas in Our Approach.6: Remarks on individual topics - 2, Conclusion
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 12 - Pedagogy.0: Introduction and basic principles
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 13 - Pedagogy.1: Scaffolding, Lesson Plan
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 14 - Pedagogy.2: A quick tour of the course - 1
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 15 - Pedagogy.3: Tour-2
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 16 - Pedagogy.4: Tour-3, Conclusion
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 17 - Advanced Programming Topics.0: Introduction, Organization of medium sized programs
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 18 - Advanced Programming Topics.1: Advanced memory management, Standard Library
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 19 - Advanced Programming topics.2: Object Oriented Programming, Concluding remarks
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 20 - In class questions, Assignments, Examinations.0: In class questions and lab assignments
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 21 - In class questions, Assignments, Examinations.1: Examinations
Link	NOC:Design and Pedagogy of the Introductory Programming Course	Lecture 22 - Summing up
Link	NOC:An Introduction to Programming through C++	Lecture 1 - Introduction - Part 1
Link	NOC:An Introduction to Programming through C++	Lecture 2 - Introduction - Part 2
Link	NOC:An Introduction to Programming through C++	Lecture 3 - Introduction - Part 3
Link	NOC:An Introduction to Programming through C++	Lecture 4 - Introduction - Part 4
Link	NOC:An Introduction to Programming through C++	Lecture 5 - Problem Solving using Computer - Part 1
Link	NOC:An Introduction to Programming through C++	Lecture 6 - Problem Solving using Computer - Part 2
Link	NOC:An Introduction to Programming through C++	Lecture 7 - Problem Solving using Computer - Part 3
Link	NOC:An Introduction to Programming through C++	Lecture 8 - Problem Solving using Computer - Part 4
Link	NOC:An Introduction to Programming through C++	Lecture 9 - Problem Solving using Computer - Part 5
Link	NOC:An Introduction to Programming through C++	Lecture 10 - Basic Elements of Program - Part 1
Link	NOC:An Introduction to Programming through C++	Lecture 11 - Basic Elements of Program - Part 2
Link	NOC:An Introduction to Programming through C++	Lecture 12 - Basic Elements of Program - Part 3
Link	NOC:An Introduction to Programming through C++	Lecture 13 - Basic Elements of Program - Part 4
Link	NOC:An Introduction to Programming through C++	Lecture 14 - Program Design - Part 1
Link	NOC:An Introduction to Programming through C++	Lecture 15 - Program Design - Part 2
Link	NOC:An Introduction to Programming through C++	Lecture 16 - Program Design - Part 3
Link	NOC:An Introduction to Programming through C++	Lecture 17 - Simple cpp Graphics
Link	NOC:An Introduction to Programming through C++	Lecture 18 - Conditional Execution - Part 1
Link	NOC:An Introduction to Programming through C++	Lecture 19 - Most general form of if - Part 2
Link	NOC:An Introduction to Programming through C++	Lecture 20 - More general form of conditions - Part 3
Link	NOC:An Introduction to Programming through C++	Lecture 21 - A somewhat large program example - Part 4
Link	NOC:An Introduction to Programming through C++	Lecture 22 - Switch statement and logical data - Part 5
Link	NOC:An Introduction to Programming through C++	Lecture 23 - Loops - Part 1
Link	NOC:An Introduction to Programming through C++	Lecture 24 - Mark averaging - Part 2
Link	NOC:An Introduction to Programming through C++	Lecture 25 - The break and continue statements - Part 3
Link	NOC:An Introduction to Programming through C++	Lecture 26 - The for statement - Part 4
Link	NOC:An Introduction to Programming through C++	Lecture 27 - Euclid's algorithm for GCD - Part 5
Link	NOC:An Introduction to Programming through C++	Lecture 28 - Correctness proof for GCD - Part 6
Link	NOC:An Introduction to Programming through C++	Lecture 29 - Computing Mathematical Functions - Part 1 : Taylor series
Link	NOC:An Introduction to Programming through C++	Lecture 30 - Computing Mathematical Functions - Part 2 : Numerical integration
Link	NOC:An Introduction to Programming through C++	Lecture 31 - Computing Mathematical Functions - Part 3 : Bisection Method
Link	NOC:An Introduction to Programming through C++	Lecture 32 - Computing Mathematical Functions - Part 4 : Newton Raphson Method
Link	NOC:An Introduction to Programming through C++	Lecture 33 - Loops in various applications - Part 1 : Loops in various applications brute force algorithms
Link	NOC:An Introduction to Programming through C++	Lecture 34 - Loops in various applications - Part 2 : Finding Pythagorean Triples
Link	NOC:An Introduction to Programming through C++	Lecture 35 - Loops in various applications - Part 3 : Modelling a system: bargaining
Link	NOC:An Introduction to Programming through C++	Lecture 36 - Loops in various applications - Part 4 : Simulating a water tank
Link	NOC:An Introduction to Programming through C++	Lecture 37 - Loops in various applications - Part 5 : Arithmetic on very large numbers
Link	NOC:An Introduction to Programming through C++	Lecture 38 - Functions - Part 1 : Basics
Link	NOC:An Introduction to Programming through C++	Lecture 39 - Functions - Part 2 : Examples
Link	NOC:An Introduction to Programming through C++	Lecture 40 - Functions - Part 3 : Reference parameters
Link	NOC:An Introduction to Programming through C++	Lecture 41 - Functions - Part 4 : Pointers
Link	NOC:An Introduction to Programming through C++	Lecture 42 - Functions - Part 5 : Graphics Objects and Lecture conclusion
Link	NOC:An Introduction to Programming through C++	Lecture 43 - Recursion - Part 1 : Introduction
Link	NOC:An Introduction to Programming through C++	Lecture 44 - Recursion - Part 2 : Recursive objects, Tree drawing
Link	NOC:An Introduction to Programming through C++	Lecture 45 - Recursion - Part 3 : How to think about recursion
Link	NOC:An Introduction to Programming through C++	Lecture 46 - Virahanka Numbers - Part 1 : Introduction
Link	NOC:An Introduction to Programming through C++	Lecture 47 - Virahanka Numbers - Part 2 : Recursive Program
Link	NOC:An Introduction to Programming through C++	Lecture 48 - Virahanka Numbers - Part 3 : Iterative Program and Conclusion
Link	NOC:An Introduction to Programming through C++	Lecture 49 - Program Organization and Functions - Part 1 : Introduction
Link	NOC:An Introduction to Programming through C++	Lecture 50 - Program Organization and Functions - Part 2 : Splitting into files
Link	NOC:An Introduction to Programming through C++	Lecture 51 - Program Organization and Functions - Part 3 : Namespaces
Link	NOC:An Introduction to Programming through C++	Lecture 52 - Program Organization and Functions - Part 4 : How to use C++ without simplecpp
Link	NOC:An Introduction to Programming through C++	Lecture 53 - Advanced Features of Functions - Part 1 : Introduction and passing one function to another
Link	NOC:An Introduction to Programming through C++	Lecture 54 - Advanced Features of Functions - Part 2 : Lambda expressions
Link	NOC:An Introduction to Programming through C++	Lecture 55 - Advanced Features of Functions - Part 3 : Default values to parameters
Link	NOC:An Introduction to Programming through C++	Lecture 56 - Advanced Features of Functions - Part 4 : Function overloading and lecture conclusion
Link	NOC:An Introduction to Programming through C++	Lecture 57 - Array Part-1 - Part 1 : Introduction
Link	NOC:An Introduction to Programming through C++	Lecture 58 - Array Part-1 - Part 2 : Marks averaging problem
Link	NOC:An Introduction to Programming through C++	Lecture 59 - Array Part-1 - Part 3 : Histogram computation
Link	NOC:An Introduction to Programming through C++	Lecture 60 - Array Part-1 - Part 4 : Marks display variation
Link	NOC:An Introduction to Programming through C++	Lecture 61 - Array Part-1 - Part 5 : Polynomial multiplication
Link	NOC:An Introduction to Programming through C++	Lecture 62 - Array Part-1 - Part 6 : Queues in dispatching taxis
Link	NOC:An Introduction to Programming through C++	Lecture 63 - Array Part-1 - Part 7 : More efficient Queues in dispatching taxis
Link	NOC:An Introduction to Programming through C++	Lecture 64 - Array Part-1 - Part 8 : Disk intersection
Link	NOC:An Introduction to Programming through C++	Lecture 65 - Array Part-1 - Part 9 : Arrays of graphical objects and conclusion
Link	NOC:An Introduction to Programming through C++	Lecture 66 - Array Part-2 - Part 1 : Introduction
Link	NOC:An Introduction to Programming through C++	Lecture 67 - Array Part-2 - Part 2 : Interpretation of aname[index]
Link	NOC:An Introduction to Programming through C++	Lecture 68 - Array Part-2 - Part 3 : Arrays and function calls
Link	NOC:An Introduction to Programming through C++	Lecture 69 - Array Part-2 - Part 4 : A function to sort an array
Link	NOC:An Introduction to Programming through C++	Lecture 70 - More on Arrays - Part 1 : Textual data
Link	NOC:An Introduction to Programming through C++	Lecture 71 - More on Arrays - Part 2 : Functions on character strings
Link	NOC:An Introduction to Programming through C++	Lecture 72 - More on Arrays - Part 3 : Two dimensional arrays
Link	NOC:An Introduction to Programming through C++	Lecture 73 - More on Arrays - Part 4 : Command Line Arguments
Link	NOC:An Introduction to Programming through C++	Lecture 74 - Arrays and recursion - Part 1 : Binary Search Introduction
Link	NOC:An Introduction to Programming through C++	Lecture 75 - Arrays and recursion - Part 2 : Binary search analysis
Link	NOC:An Introduction to Programming through C++	Lecture 76 - Arrays and recursion - Part 3 : Mergesort overview
Link	NOC:An Introduction to Programming through C++	Lecture 77 - Arrays and recursion - Part 4 : Merge function
Link	NOC:An Introduction to Programming through C++	Lecture 78 - Arrays and recursion - Part 5 : Mergesort conclusion
Link	NOC:An Introduction to Programming through C++	Lecture 79 - Structures - Part 1 : Definition and instantiation
Link	NOC:An Introduction to Programming through C++	Lecture 80 - Structures - Part 2 : Operations on structures
Link	NOC:An Introduction to Programming through C++	Lecture 81 - Structures - Part 3 : An example program
Link	NOC:An Introduction to Programming through C++	Lecture 82 - Structures - Part 4 : Pointers and lecture conclusion
Link	NOC:An Introduction to Programming through C++	Lecture 83 - Structures Part 2 - Part 1 : Introduction to Member functions
Link	NOC:An Introduction to Programming through C++	Lecture 84 - Structures Part 2 - Part 2 : Vectors from Physics
Link	NOC:An Introduction to Programming through C++	Lecture 85 - Structures Part 2 - Part 3 : Taxi dispatch
Link	NOC:An Introduction to Programming through C++	Lecture 86 - Classes - Part 1 : Introduction
Link	NOC:An Introduction to Programming through C++	Lecture 87 - Classes - Part 2 : Constructors
Link	NOC:An Introduction to Programming through C++	Lecture 88 - Classes - Part 3 : Operator overloading
Link	NOC:An Introduction to Programming through C++	Lecture 89 - Classes - Part 4 : Access control
Link	NOC:An Introduction to Programming through C++	Lecture 90 - Classes - Part 5 : Classes for graphics and input output
Link	NOC:An Introduction to Programming through C++	Lecture 91 - Classes - Part 6 : General remarks
Link	NOC:An Introduction to Programming through C++	Lecture 92 - Representing variable length entities - Part 1 : Introduction
Link	NOC:An Introduction to Programming through C++	Lecture 93 - Representing variable length entities - Part 2 : Heap memory basics
Link	NOC:An Introduction to Programming through C++	Lecture 94 - Representing variable length entities - Part 3 : Pitfalls of using heap memory
Link	NOC:An Introduction to Programming through C++	Lecture 95 - Representing variable length entities - Part 4 : Automating memory management
Link	NOC:An Introduction to Programming through C++	Lecture 96 - Representing variable length entities - Part 5 : Implementing a class with automated memory management - 1
Link	NOC:An Introduction to Programming through C++	Lecture 97 - Representing variable length entities - Part 6 : Implementing a class with automated memory management - 2
Link	NOC:An Introduction to Programming through C++	Lecture 98 - Representing variable length entities - Part 7 : Using the implemented class and conclusion
Link	NOC:An Introduction to Programming through C++	Lecture 99 - The Standard Library - Part 1 : Class string
Link	NOC:An Introduction to Programming through C++	Lecture 100 - The Standard Library - Part 2 : Class vector
Link	NOC:An Introduction to Programming through C++	Lecture 101 - The Standard Library - Part 3 : Sorting vectors and arrays
Link	NOC:An Introduction to Programming through C++	Lecture 102 - The Standard Library - Part 4 : Classes map and unordered_map
Link	NOC:An Introduction to Programming through C++	Lecture 103 - The Standard Library - Part 5 : Iterators
Link	NOC:An Introduction to Programming through C++	Lecture 104 - Data structure based programming - Part 1 : Introduction
Link	NOC:An Introduction to Programming through C++	Lecture 105 - Data structure based programming - Part 2 : Set and pair classes
Link	NOC:An Introduction to Programming through C++	Lecture 106 - Data structure based programming - Part 3 : Implementation of standard library data structures
Link	NOC:An Introduction to Programming through C++	Lecture 107 - Data structure based programming - Part 4 : Composing data structures
Link	NOC:An Introduction to Programming through C++	Lecture 108 - Data structure based programming - Part 5 : typedef and lecture conclusion
Link	NOC:An Introduction to Programming through C++	Lecture 109 - Medium size programs - Part 1 : The new marks display program
Link	NOC:An Introduction to Programming through C++	Lecture 110 - Medium size programs - Part 2 : Manual algorithm for new marks display
Link	NOC:An Introduction to Programming through C++	Lecture 111 - Medium size programs - Part 3 : RSMTAB and rest of the program
Link	NOC:An Introduction to Programming through C++	Lecture 112 - Medium size programs - Part 4 : Sophisticated solutions to marks display
Link	NOC:An Introduction to Programming through C++	Lecture 113 - A graphical editor and solver for circuits - Part 1 : Outline
Link	NOC:An Introduction to Programming through C++	Lecture 114 - A graphical editor and solver for circuits - Part 2 : Main program and organization
Link	NOC:An Introduction to Programming through C++	Lecture 115 - A graphical editor and solver for circuits - Part 3 : Mathematical representation of the circuit
Link	NOC:An Introduction to Programming through C++	Lecture 116 - A graphical editor and solver for circuits - Part 4 : Extensions and concluding remarks
Link	NOC:An Introduction to Programming through C++	Lecture 117 - Cosmological simulation - Part 1 : Introduction and First order Euler method
Link	NOC:An Introduction to Programming through C++	Lecture 118 - Cosmological simulation - Part 2 : Second order Euler method
Link	NOC:An Introduction to Programming through C++	Lecture 119 - Cosmological simulation - Part 3 : The program
Link	NOC:An Introduction to Programming through C++	Lecture 120 - Cosmological simulation - Part 4 : Concluding remarks
Link	NOC:Demystifying Networking	Lecture 1 - Introduction
Link	NOC:Demystifying Networking	Lecture 2 - Analogy for CEO's Problem
Link	NOC:Demystifying Networking	Lecture 3 - Discussing the CEO's Problem
Link	NOC:Demystifying Networking	Lecture 4 - From the CEO's Company to Layers in a Network
Link	NOC:Demystifying Networking	Lecture 5 - Layers in Detail
Link	NOC:Demystifying Networking	Lecture 6 - Layered Nature of a Network
Link	NOC:Demystifying Networking	Lecture 7 - Introduction to Internet Data Capturing using Wireshark
Link	NOC:Demystifying Networking	Lecture 8 - Network data captured while requesting a website
Link	NOC:Demystifying Networking	Lecture 9 - What is Cisco Packet Tracer
Link	NOC:Demystifying Networking	Lecture 10 - Modes of Cisco Packet Tracer
Link	NOC:Demystifying Networking	Lecture 11 - Getting Cisco Packet Tracer
Link	NOC:Demystifying Networking	Lecture 12 - Logical and Physical Typologies in Cisco Packet Tracer
Link	NOC:Demystifying Networking	Lecture 13 - Devices on Cisco Packet Tracer
Link	NOC:Demystifying Networking	Lecture 14 - Introduction to the Cisco Packet Tracer Activity for Week 1
Link	NOC:Demystifying Networking	Lecture 15 - Introduction to the campus network on Cisco Packet Tracer
Link	NOC:Demystifying Networking	Lecture 16 - Loading the page in Simulation Mode
Link	NOC:Demystifying Networking	Lecture 17 - Inspecting the packets in Simulation Mode
Link	NOC:Demystifying Networking	Lecture 18 - Editing the dummy website on Cisco Packet Tracer
Link	NOC:Demystifying Networking	Lecture 19 - Summary of the Cisco Packet Tracer Activity
Link	NOC:Demystifying Networking	Lecture 20 - Introduction to Anupam's Adventure
Link	NOC:Demystifying Networking	Lecture 21 - Anupam's adventure brings us to IP Addressing
Link	NOC:Demystifying Networking	Lecture 22 - Addressing at various layers
Link	NOC:Demystifying Networking	Lecture 23 - IP Addresses
Link	NOC:Demystifying Networking	Lecture 24 - Address Translation
Link	NOC:Demystifying Networking	Lecture 25 - Introduction to IP Addressing
Link	NOC:Demystifying Networking	Lecture 26 - Creating a network with Sub-net mask
Link	NOC:Demystifying Networking	Lecture 27 - Nomenclature of a sub-net mask
Link	NOC:Demystifying Networking	Lecture 28 - Network addresses and Private networks
Link	NOC:Demystifying Networking	Lecture 29 - Introduction to the Addressing Topology
Link	NOC:Demystifying Networking	Lecture 30 - Addressing a local network and DHCP
Link	NOC:Demystifying Networking	Lecture 31 - Addressing a local network manually
Link	NOC:Demystifying Networking	Lecture 32 - Addressing in Pubilc and Private Networks
Link	NOC:Demystifying Networking	Lecture 33 - Verifying Connectivity using Ping
Link	NOC:Demystifying Networking	Lecture 34 - Using network address translation to communicate on internet
Link	NOC:Demystifying Networking	Lecture 35 - Using Sub nets and Summary of addressing
Link	NOC:Demystifying Networking	Lecture 36 - Summary of the week
Link	NOC:Demystifying Networking	Lecture 37 - Analogy for the week 2
Link	NOC:Demystifying Networking	Lecture 38 - Discussion on dabbawala analogy
Link	NOC:Demystifying Networking	Lecture 39 - From dabbawalas to routers and switches
Link	NOC:Demystifying Networking	Lecture 40 - What is routing ?
Link	NOC:Demystifying Networking	Lecture 41 - Static routing in a router in CPT
Link	NOC:Demystifying Networking	Lecture 42 - How does a switch forwards packets CPT
Link	NOC:Demystifying Networking	Lecture 43 - How to add static route in a router? (CPT)
Link	NOC:Demystifying Networking	Lecture 44 - Traveler's dilemma
Link	NOC:Demystifying Networking	Lecture 45 - Duscussing the Traveler's dilemma
Link	NOC:Demystifying Networking	Lecture 46 - From Traveler's dilemma to Dynamic Routing
Link	NOC:Demystifying Networking	Lecture 47 - Dynamic Routing with Distance Vector
Link	NOC:Demystifying Networking	Lecture 48 - Distance Vector Routing in Detail
Link	NOC:Demystifying Networking	Lecture 49 - Dynamic Routing with Link State
Link	NOC:Demystifying Networking	Lecture 50 - Setting up dynamic routing in Packet Tracer
Link	NOC:Demystifying Networking	Lecture 51 - Summary of the week
Link	NOC:Demystifying Networking	Lecture 52 - Introduction to analogy for week 3
Link	NOC:Demystifying Networking	Lecture 53 - Analogy for week 3
Link	NOC:Demystifying Networking	Lecture 54 - Questions on analogy for week 3
Link	NOC:Demystifying Networking	Lecture 55 - Understanding the new order requirements
Link	NOC:Demystifying Networking	Lecture 56 - Introduction to Tranport Layer
Link	NOC:Demystifying Networking	Lecture 57 - Introduction to TCP
Link	NOC:Demystifying Networking	Lecture 58 - Introduction to UDP
Link	NOC:Demystifying Networking	Lecture 59 - Exploring UDP on Cisco Packet Tracer
Link	NOC:Demystifying Networking	Lecture 60 - TCP Connection Establishment
Link	NOC:Demystifying Networking	Lecture 61 - TCP Connection Closure
Link	NOC:Demystifying Networking	Lecture 62 - Summay of TCP and UDP on Cisco Packet Tracer
Link	NOC:Demystifying Networking	Lecture 63 - The story of the delivery fiasco
Link	NOC:Demystifying Networking	Lecture 64 - From delivery fisaco to Port Numbers
Link	NOC:Demystifying Networking	Lecture 65 - Application Layer in depth
Link	NOC:Demystifying Networking	Lecture 66 - Port number in Wireshark
Link	NOC:Demystifying Networking	Lecture 67 - Summary of port number and PAT
Link	NOC:Demystifying Networking	Lecture 68 - Summary of the entire TCP IP stack
Link	NOC:Demystifying Networking	Lecture 69 - Introducing the analogy for week 4
Link	NOC:Demystifying Networking	Lecture 70 - The secret box
Link	NOC:Demystifying Networking	Lecture 71 - Questions on analogy for week 4
Link	NOC:Demystifying Networking	Lecture 72 - Secret of the secret box
Link	NOC:Demystifying Networking	Lecture 73 - From secret box to encryption
Link	NOC:Demystifying Networking	Lecture 74 - Introduction to security and CIA
Link	NOC:Demystifying Networking	Lecture 75 - Information Security and Defence in Depth
Link	NOC:Demystifying Networking	Lecture 76 - Information Classification and Access Control
Link	NOC:Demystifying Networking	Lecture 77 - Process Management
Link	NOC:Demystifying Networking	Lecture 78 - Introduction to Network Security
Link	NOC:Demystifying Networking	Lecture 79 - Network Breach and Countermeasures
Link	NOC:Demystifying Networking	Lecture 80 - Internet Security
Link	NOC:Demystifying Networking	Lecture 81 - Securing the Internet Usage
Link	NOC:Demystifying Networking	Lecture 82 - Internet Security Products
Link	NOC:Demystifying Networking	Lecture 83 - Personal Computing Device Recommendations
Link	NOC:Demystifying Networking	Lecture 84 - Responsible Behavior on the Internet
Link	NOC:Demystifying Networking	Lecture 85 - Best practices for home Network and Media Devices
Link	NOC:Demystifying Networking	Lecture 86 - Closing thoughts on security
Link	NOC:Demystifying Networking	Lecture 87 - The story of a family trip
Link	NOC:Demystifying Networking	Lecture 88 - The troubleshooting approach
Link	NOC:Demystifying Networking	Lecture 89 - Troubleshooting Physical and Data Link Layers
Link	NOC:Demystifying Networking	Lecture 90 - Troubleshooting Network Layer
Link	NOC:Demystifying Networking	Lecture 91 - Troubleshooting Transport and Application Layers
Link	NOC:Demystifying Networking	Lecture 92 - Troubleshooting Summary
Link	NOC:Demystifying Networking	Lecture 93 - Troubleshooting Heuristics
Link	NOC:Demystifying Networking	Lecture 94 - Troubleshooting Challenge - 1
Link	NOC:Demystifying Networking	Lecture 95 - Troubleshooting challenge - 2
Link	NOC:Demystifying Networking	Lecture 96 - Troubleshooting Challenge - 3
Link	NOC:Demystifying Networking	Lecture 97 - Thats How we Troubleshoot
Link	NOC:Demystifying Networking	Lecture 98 - Week Summary
Link	NOC:Demystifying Networking	Lecture 99 - Course Closure
Link	NOC:Demystifying Networking	Lecture 100 - Course Credits
Link	NOC:Design and Engineering of Computer Systems	Lecture 1 - Introduction to Computer Systems
Link	NOC:Design and Engineering of Computer Systems	Lecture 2 - Principles of Computer Systems Design
Link	NOC:Design and Engineering of Computer Systems	Lecture 3 - Overview of CPU hardware
Link	NOC:Design and Engineering of Computer Systems	Lecture 4 - Overview of memory and I/O hardware
Link	NOC:Design and Engineering of Computer Systems	Lecture 5 - Introduction to Operating Systems
Link	NOC:Design and Engineering of Computer Systems	Lecture 6 - Week 1: Tutorial 1
Link	NOC:Design and Engineering of Computer Systems	Lecture 7 - Week 1: Tutorial 2
Link	NOC:Design and Engineering of Computer Systems	Lecture 8 - Processes
Link	NOC:Design and Engineering of Computer Systems	Lecture 9 - Kernel mode execution
Link	NOC:Design and Engineering of Computer Systems	Lecture 10 - Threads
Link	NOC:Design and Engineering of Computer Systems	Lecture 11 - CPU scheduling policies
Link	NOC:Design and Engineering of Computer Systems	Lecture 12 - Virtual machines and containers
Link	NOC:Design and Engineering of Computer Systems	Lecture 13 - Week 2: Tutorial 1
Link	NOC:Design and Engineering of Computer Systems	Lecture 14 - Week 2: Tutorial 2
Link	NOC:Design and Engineering of Computer Systems	Lecture 15 - Week 2: Tutorial 3
Link	NOC:Design and Engineering of Computer Systems	Lecture 16 - Memory management in OS
Link	NOC:Design and Engineering of Computer Systems	Lecture 17 - Paging
Link	NOC:Design and Engineering of Computer Systems	Lecture 18 - Demand paging
Link	NOC:Design and Engineering of Computer Systems	Lecture 19 - File system and memory
Link	NOC:Design and Engineering of Computer Systems	Lecture 20 - Optimizing memory access
Link	NOC:Design and Engineering of Computer Systems	Lecture 21 - Week 3: Tutorial 1
Link	NOC:Design and Engineering of Computer Systems	Lecture 22 - Week 3: Tutorial 2
Link	NOC:Design and Engineering of Computer Systems	Lecture 23 - Week 3: Tutorial 3
Link	NOC:Design and Engineering of Computer Systems	Lecture 24 - Filesystem Datastructures
Link	NOC:Design and Engineering of Computer Systems	Lecture 25 - Filesystem Implementation
Link	NOC:Design and Engineering of Computer Systems	Lecture 26 - Network I/O via Sockets
Link	NOC:Design and Engineering of Computer Systems	Lecture 27 - Network I/O Implementation
Link	NOC:Design and Engineering of Computer Systems	Lecture 28 - Memory and I/O virtualization
Link	NOC:Design and Engineering of Computer Systems	Lecture 29 - Week 4: Tutorial 1
Link	NOC:Design and Engineering of Computer Systems	Lecture 30 - Week 4: Tutorial 2
Link	NOC:Design and Engineering of Computer Systems	Lecture 31 - Introduction to computer networking
Link	NOC:Design and Engineering of Computer Systems	Lecture 32 - Internet Routing and Forwarding
Link	NOC:Design and Engineering of Computer Systems	Lecture 33 - Transport protocols
Link	NOC:Design and Engineering of Computer Systems	Lecture 34 - Application layer protocols
Link	NOC:Design and Engineering of Computer Systems	Lecture 35 - Network Security
Link	NOC:Design and Engineering of Computer Systems	Lecture 36 - Week 5: Tutorial 1
Link	NOC:Design and Engineering of Computer Systems	Lecture 37 - Week 5: Tutorial 2
Link	NOC:Design and Engineering of Computer Systems	Lecture 38 - Multithreaded application design
Link	NOC:Design and Engineering of Computer Systems	Lecture 39 - Inter-process communication
Link	NOC:Design and Engineering of Computer Systems	Lecture 40 - Multi-tier application design
Link	NOC:Design and Engineering of Computer Systems	Lecture 41 - Examples of end-to-end systems design
Link	NOC:Design and Engineering of Computer Systems	Lecture 42 - Deployment of computer systems
Link	NOC:Design and Engineering of Computer Systems	Lecture 43 - Week 6: Tutorial 1
Link	NOC:Design and Engineering of Computer Systems	Lecture 44 - Week 6: Tutorial 2
Link	NOC:Design and Engineering of Computer Systems	Lecture 45 - Performance measurement
Link	NOC:Design and Engineering of Computer Systems	Lecture 46 - Performance analysis
Link	NOC:Design and Engineering of Computer Systems	Lecture 47 - Performance profiling and optimization
Link	NOC:Design and Engineering of Computer Systems	Lecture 48 - Caching
Link	NOC:Design and Engineering of Computer Systems	Lecture 49 - Performance scalability
Link	NOC:Design and Engineering of Computer Systems	Lecture 50 - Week 7: Tutorial 1
Link	NOC:Design and Engineering of Computer Systems	Lecture 51 - Fault tolerance and reliability
Link	NOC:Design and Engineering of Computer Systems	Lecture 52 - Replication and consistency
Link	NOC:Design and Engineering of Computer Systems	Lecture 53 - Atomicity
Link	NOC:Design and Engineering of Computer Systems	Lecture 54 - Distributed transactions
Link	NOC:Design and Engineering of Computer Systems	Lecture 55 - Case studies of distributed systems design
Link	NOC:Software Conceptual Design	Lecture 1
Link	NOC:Software Conceptual Design	Lecture 2
Link	NOC:Software Conceptual Design	Lecture 3
Link	NOC:Software Conceptual Design	Lecture 4
Link	NOC:Software Conceptual Design	Lecture 5
Link	NOC:Software Conceptual Design	Lecture 6
Link	NOC:Software Conceptual Design	Lecture 7
Link	NOC:Software Conceptual Design	Lecture 8
Link	NOC:Software Conceptual Design	Lecture 9
Link	NOC:Software Conceptual Design	Lecture 10
Link	NOC:Software Conceptual Design	Lecture 11
Link	NOC:Software Conceptual Design	Lecture 12
Link	NOC:Software Conceptual Design	Lecture 13
Link	NOC:Software Conceptual Design	Lecture 14
Link	NOC:Software Conceptual Design	Lecture 15
Link	NOC:Software Conceptual Design	Lecture 16
Link	NOC:Software Conceptual Design	Lecture 17
Link	NOC:Software Conceptual Design	Lecture 18
Link	NOC:Software Conceptual Design	Lecture 19
Link	NOC:Software Conceptual Design	Lecture 20
Link	NOC:Software Conceptual Design	Lecture 21
Link	NOC:Software Conceptual Design	Lecture 22
Link	NOC:Software Conceptual Design	Lecture 23
Link	NOC:Software Conceptual Design	Lecture 24
Link	NOC:Software Conceptual Design	Lecture 25
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 1 - Introduction: Game Theory
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 2 - Introduction: Mechanism Design
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 3 - The game of chess
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 4 - Proof of the chess theorem
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 5 - Normal form games
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 6 - Dominance
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 7 - Nash equilibrium
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 8 - Maxmin strategies
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 9 - Elimination of dominated strategies
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 10 - Preservation of PSNE
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 11 - Matrix games
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 12 - Relation between Maxmin and PSNE in matrix
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 13 - Mixed strategies
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 14 - Mixed strategy Nash equilibrium (MSNE)
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 15 - Find MSNE
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 16 - MSNE characterization theorem proof
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 17 - Algorithm to find MSNE
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 18 - Correlated equilibrium (CE)
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 19 - Computing correlated equilibrium
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 20 - Extensive form games
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 21 - Subgame perfection
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 22 - Limitations of SPNE
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 23 - Imperfect Information Extensive Form Games (IIEFG)
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 24 - Strategies in IIEFGs
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 25 - Equivalence of Strategies in IIEFGs
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 26 - Perfect Recall
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 27 - Equilibrium in IIEFG
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 28 - Game Theory in Practice: P2P file sharing
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 29 - Bayesian Games
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 30 - Strategy, Utility in Bayesian Games
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 31 - Equilibrium in Bayesian Games
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 32 - Examples of Bayesian Equilibrium
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 33 - Introduction to Mechanism Design
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 34 - Revelation Principle
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 35 - Introduction to Arrow's Impossibility Result
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 36 - Proof of Arrow's Result
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 37 - Introduction to the Social Choice Setup
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 38 - Introduction to Gibbard-Satterthwaite Theorem
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 39 - Proof of Gibbard-Satterthwaite Theorem
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 40 - Domain Restriction
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 41 - Median Voting Rule
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 42 - Median Voter Theorem - Part 1
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 43 - Median Voter Theorem - Part 2
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 44 - The Task Sharing Domain
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 45 - The Uniform Rule
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 46 - Mechanism Design with Transfers
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 47 - Examples of Quasi-linear Preferences
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 48 - Pareto Optimality and Groves Payments
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 49 - Introduction to VCG Mechanism
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 50 - VCG in Combinatorial Allocations
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 51 - Applications to Internet Advertising
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 52 - Slot Allocation and Payments in Position
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 53 - Pros and Cons of VCG Mechanism
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 54 - Affine Maximizers
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 55 - Single Object Allocation
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 56 - Myerson's Lemma
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 57 - Illustration of Myerson's Lemma
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 58 - Optimal Mechanism Design
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 59 - Single Agent Optimal Mechanism Design
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 60 - Multiple Agent Optimal Mechanism Design
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 61 - Examples of Optimal Mechanisms
Link	NOC:Introduction to Game Theory and Mechanism Design	Lecture 62 - Endnotes and Summary
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 1 - Introduction, why do delays happen, contention for resources
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 2 - Performance metrics and parameters
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 3 - Introducing Queuing Systems
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 4 - Memoryless Distributions
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 5 - Operational Laws
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 6 - Asymptotic Analysis of G/G/1, G/G/1/K queues
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 7 - Asymptotic Analysis of G/G/c/K queues
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 8 - Little's Law
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 9 - Little’s Law examples and A Case Study of Open Load test on a Web server
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 10 - Some results for M/G/1 queue and Memoryless Arrivals
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 11 - Continuing the Case Study of Open Load test on a web server (Response Time)
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 12 - Open queuing networks - tandem queuing network
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 13 - Open queuing networks - general (Jackson) queuing networks
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 14 - Open queuing networks - examples
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 15 - Closed Queuing Systems
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 16 - Closed Queuing System (Continued...)
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 17 - Case study of Closed Load Test on a Web Server
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 18 - General formulation of Jacksonian Closed Queuing Networks
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 19 - Mean Value Analysis for Closed Queuing Networks
Link	NOC:Introduction to Computer and Network Performance Analysis using Queuing Systems	Lecture 20 - Mean Value Analysis examples,Case Study of a Load test on a web server,Closing Remarks
Link	NOC:Games and Information	Lecture 1 - Introduction, why do delays happen, contention for resources
Link	NOC:Games and Information	Lecture 2 - Performance metrics and parameters
Link	NOC:Games and Information	Lecture 3 - Introducing Queuing Systems
Link	NOC:Games and Information	Lecture 4 - Memoryless Distributions
Link	NOC:Games and Information	Lecture 5 - Operational Laws
Link	NOC:Games and Information	Lecture 6 - Aumann model of incomplete information: Definition and Examples
Link	NOC:Games and Information	Lecture 7 - Knowledge operator: Definition and Examples
Link	NOC:Games and Information	Lecture 8 - Common knowledge: Definition and Examples
Link	NOC:Games and Information	Lecture 9 - The structural theorem of common knowledge
Link	NOC:Games and Information	Lecture 10 - Proof of the structural theorem (forward direction)
Link	NOC:Games and Information	Lecture 11 - Proof of the structural theorem (backward direction)
Link	NOC:Games and Information	Lecture 12 - Aumann model of incomplete information with belief: Definition and Examples
Link	NOC:Games and Information	Lecture 13 - Aumann's agreement theorem
Link	NOC:Games and Information	Lecture 14 - Zero-sum game definition and Security strategies
Link	NOC:Games and Information	Lecture 15 - Saddle point strategies
Link	NOC:Games and Information	Lecture 16 - Further properties of saddle point strategies
Link	NOC:Games and Information	Lecture 17 - Mixed strategies
Link	NOC:Games and Information	Lecture 18 - Weirstrass lemma and existence of a mixed saddle point strategy
Link	NOC:Games and Information	Lecture 19 - Von Nuenmann minmax theorem
Link	NOC:Games and Information	Lecture 20 - Computing mixed saddle point startegy: Holmes and Moriarty
Link	NOC:Games and Information	Lecture 21 - Computing mixed strategy saddle point: 2X2 matrix game
Link	NOC:Games and Information	Lecture 22 - Computing mixed strategy saddle point: 2X3 matrix game
Link	NOC:Games and Information	Lecture 23 - Nash equilibrium of a non zero-sum game and its relation with Kakutani fixed
Link	NOC:Games and Information	Lecture 24 - Proof: Existence of Nash equilibrium (Condition 1 of Kakutani fixed point)
Link	NOC:Games and Information	Lecture 25 - Proof: Existence of Nash equilibrium (Condition 2 of Kakutani fixed point)
Link	NOC:Games and Information	Lecture 26 - Existence of Nash equilibrium for infinite strategy space (Using Brower's)
Link	NOC:Games and Information	Lecture 27 - Quantal Response: Motivation
Link	NOC:Games and Information	Lecture 28 - Quantal Response: Formal model
Link	NOC:Games and Information	Lecture 29 - Dynamic games definiton
Link	NOC:Games and Information	Lecture 30 - Solution concept in dynamic games
Link	NOC:Games and Information	Lecture 31 - Relation of the heuristic solution with the Nash equilibrium of the standard
Link	NOC:Games and Information	Lecture 32 - Example of a Threat equilibrium
Link	NOC:Games and Information	Lecture 33 - Interpreting the threat equilibrium in standard normal form of the dynamic game
Link	NOC:Games and Information	Lecture 34 - Extensive form games - I
Link	NOC:Games and Information	Lecture 35 - Extensive form games - II
Link	NOC:Games and Information	Lecture 36 - Single Act Games
Link	NOC:Games and Information	Lecture 37 - Informationally inferior games
Link	NOC:Games and Information	Lecture 38 - Information Structure in Single Act Games
Link	NOC:Games and Information	Lecture 39 - Nested and Ladder Nested Extensive form games
Link	NOC:Games and Information	Lecture 40 - Equilibrium Algorithm
Link	NOC:Games and Information	Lecture 41 - Stage-wise multi act games
Link	NOC:Games and Information	Lecture 42 - Feedback equilibrium
Link	NOC:Games and Information	Lecture 43 - Mixed and Behavioral Strategies
Link	NOC:Games and Information	Lecture 44 - Conditions for equivalence for mixed and behavioral strategies
Link	NOC:Games and Information	Lecture 45 - Kuhn's Theorem - I
Link	NOC:Games and Information	Lecture 46 - Kuhn's Theorem - II
Link	NOC:Games and Information	Lecture 47 - Kuhn's Theorem - III
Link	NOC:Games and Information	Lecture 48 - Games of incomplete information
Link	NOC:Games and Information	Lecture 49 - Bayesian Nash equilibrium - I
Link	NOC:Games and Information	Lecture 50 - Bayesian Nash equilibrium - II
Link	NOC:Games and Information	Lecture 51 - Self-enforcement of Nash equilibrium
Link	NOC:Games and Information	Lecture 52 - Stackelberg game
Link	NOC:Games and Information	Lecture 53 - Principal-Agent Models - I
Link	NOC:Games and Information	Lecture 54 - Principal-Agent Models - II
Link	NOC:Games and Information	Lecture 55 - Moral Hazard and Adverse selection
Link	NOC:Games and Information	Lecture 56 - Games with contracts
Link	NOC:Games and Information	Lecture 57 - Correlated Equilibrium - I
Link	NOC:Games and Information	Lecture 58 - Correlated Equilibrium - II
Link	NOC:Games and Information	Lecture 59 - Correlated Equilibrium - III
Link	NOC:Games and Information	Lecture 60 - Bayesian Game with mediated communication
Link	NOC:Games and Information	Lecture 61 - Revelation Principle
Link	NOC:Distributed Optimization and Machine Learning	Lecture 1 - Introduction to optimization
Link	NOC:Distributed Optimization and Machine Learning	Lecture 2 - Analyzing optimization algorithms in continuous time domain
Link	NOC:Distributed Optimization and Machine Learning	Lecture 3 - Course Outline
Link	NOC:Distributed Optimization and Machine Learning	Lecture 4 - Basics of optimization problems
Link	NOC:Distributed Optimization and Machine Learning	Lecture 5 - Convex sets and Convex functions
Link	NOC:Distributed Optimization and Machine Learning	Lecture 6 - Strictly and strongly convex functions
Link	NOC:Distributed Optimization and Machine Learning	Lecture 7 - Implications of strong convexity
Link	NOC:Distributed Optimization and Machine Learning	Lecture 8 - Primal and dual optimization problems
Link	NOC:Distributed Optimization and Machine Learning	Lecture 9 - Slaters condition
Link	NOC:Distributed Optimization and Machine Learning	Lecture 10 - Analysis of gradient descent algorithm
Link	NOC:Distributed Optimization and Machine Learning	Lecture 11 - KKT conditions
Link	NOC:Distributed Optimization and Machine Learning	Lecture 12 - Acceleration under strong convexity
Link	NOC:Distributed Optimization and Machine Learning	Lecture 13 - Accelerate the convergence even further
Link	NOC:Distributed Optimization and Machine Learning	Lecture 14 - Stability theory
Link	NOC:Distributed Optimization and Machine Learning	Lecture 15 - Connections to optimization problems
Link	NOC:Distributed Optimization and Machine Learning	Lecture 16 - Exponential stability
Link	NOC:Distributed Optimization and Machine Learning	Lecture 17 - Bregman Divergance
Link	NOC:Distributed Optimization and Machine Learning	Lecture 18 - Rescaled Gradient Flow
Link	NOC:Distributed Optimization and Machine Learning	Lecture 19 - Advanced Results on PL inequality - Part 1
Link	NOC:Distributed Optimization and Machine Learning	Lecture 20 - Advanced Results on PL inequality - Part 2
Link	NOC:Distributed Optimization and Machine Learning	Lecture 21 - Constrained Optimization Problem
Link	NOC:Distributed Optimization and Machine Learning	Lecture 22 - Augmented Lagrangian
Link	NOC:Distributed Optimization and Machine Learning	Lecture 23 - Method of Multipliers
Link	NOC:Distributed Optimization and Machine Learning	Lecture 24 - Dual Ascent and Dual Decomposition
Link	NOC:Distributed Optimization and Machine Learning	Lecture 25 - ADMM Algorithm
Link	NOC:Distributed Optimization and Machine Learning	Lecture 26 - Basics of Graph Theory - 1
Link	NOC:Distributed Optimization and Machine Learning	Lecture 27 - Basics of Graph Theory - 2
Link	NOC:Distributed Optimization and Machine Learning	Lecture 28 - Consensus and Average Consensus - 1
Link	NOC:Distributed Optimization and Machine Learning	Lecture 29 - Consensus and Average Consensus - 2
Link	NOC:Distributed Optimization and Machine Learning	Lecture 30 - Consensus Algorithms
Link	NOC:Distributed Optimization and Machine Learning	Lecture 31 - Consensus Algorithms - Fixed time
Link	NOC:Distributed Optimization and Machine Learning	Lecture 32 - Distributed Economic Dispatch Problem
Link	NOC:Distributed Optimization and Machine Learning	Lecture 33 - Algorithm for Uncapacitated EDP
Link	NOC:Distributed Optimization and Machine Learning	Lecture 34 - Capacitated EDP
Link	NOC:Distributed Optimization and Machine Learning	Lecture 35 - Algorithms for Distributed Optimization - 1
Link	NOC:Distributed Optimization and Machine Learning	Lecture 36 - Algorithms for Distributed Optimization - 2
Link	NOC:Distributed Optimization and Machine Learning	Lecture 37 - Continuous-time Distributed Optimization Algorithms
Link	NOC:Distributed Optimization and Machine Learning	Lecture 38 - Introduction to Neural Networks
Link	NOC:Distributed Optimization and Machine Learning	Lecture 39 - Large Scale Machine Learning
Link	NOC:Distributed Optimization and Machine Learning	Lecture 40 - Decentralized Stochastic Gradient Descent - 1
Link	NOC:Distributed Optimization and Machine Learning	Lecture 41 - Decentralized Stochastic Gradient Descent - 2
Link	NOC:Distributed Optimization and Machine Learning	Lecture 42 - Introduction to Federated Learning
Link	NOC:Distributed Optimization and Machine Learning	Lecture 43 - FedAvg Algorithm
Link	NOC:Distributed Optimization and Machine Learning	Lecture 44 - Convergence Analysis of FL
Link	NOC:Distributed Optimization and Machine Learning	Lecture 45 - Sources of Computational Heterogenity in FL
Link	NOC:Distributed Optimization and Machine Learning	Lecture 46 - Objective Inconsistency Problem
Link	NOC:Distributed Optimization and Machine Learning	Lecture 47 - General Update Rule
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 1 - Time series introduction
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 2 - Examples of time series data
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 3 - Stationarity in time series
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 4 - Weak vs.strong stationarity
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 5 - Practical session in R-1
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 6 - Time Series Decomposition
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 7 - Basic Time Series Processes
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 8 - Autocorrelation and the Partial Autocorrelation Functions
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 9 - ACF and PACF for Some Time Series Processes
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 10 - Practical Session in R-2
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 11 - Non-Stationary Time Series
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 12 - Seasonality and its Features
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 13 - Cyclicality and Test for Stationarity
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 14 - Seasonality and SARIMA Model
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 15 - Practical Session in R-3
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 16 - Model Identification
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 17 - Model Estimation
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 18 - Diagnostic Checking - 1
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 19 - Diagnostic Checking - 2
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 20 - Practical Session in R-4
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 21 - Forecasting Basics
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 22 - Measuring Forecast Accuracy
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 23 - Smoothing Techniques (SMA,EMA)
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 24 - Double and Triple Exponential Smoothing
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 25 - Practical Session in R-5
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 26 - Persistent and Long- Memory Processes : Examples and Implications
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 27 - ARFIMA Processes
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 28 - Hurst Exponent - Estimation under ARFIMA
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 29 - Estimation under ARFIMA
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 30 - Practical Session in R-6
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 31 - Multivariate Time Series Analysis: Examples and Motivation
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 32 - Cross-covariance and Cross-correlation
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 33 - Some Specific Multivariate Time Series Models
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 34 - Further Extensions and Use Cases
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 35 - Practical Session in R-7
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 36 - Cointegration and Further
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 37 - Error Correction Models
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 38 - Tests for Cointegration
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 39 - Testing for Causality
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 40 - Practical Session in R-8
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 41 - Frequency Domain Analysis
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 42 - Spectral Representation of a Series
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 43 - Spectral Density Estimation
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 44 - Numerical Examples and Further
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 45 - Practical Session in R-9
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 46 - Stochastic Volatility Modelling
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 47 - ARCH Models
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 48 - ARCH LM Test and GARCH Models
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 49 - GARCH Model Extensions
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 50 - Practical Session in R-10
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 51 - Nonlinear Time Series Models
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 52 - Regimes and Nonlinear Models
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 53 - Nonlinear Model Extensions
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 54 - Markov Switching Models
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 55 - Practical Session in R-11
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 56 - Machine Learning in Time Series
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 57 - Linear Regression for Time Series and Beyond
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 58 - Other Machine Learning Models for Time Series
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 59 - Neural Networks for Time Series
Link	NOC:Time Series Modelling and Forecasting with Applications in R	Lecture 60 - Practical Session in R-12
Link	Computational Geometry	Lecture 1 - Introduction
Link	Computational Geometry	Lecture 2 - Visibility Problems
Link	Computational Geometry	Lecture 3 - 2D Maxima
Link	Computational Geometry	Lecture 4 - Line Sweep Method
Link	Computational Geometry	Lecture 5 - Segment Intersection Problem
Link	Computational Geometry	Lecture 6 - Line Sweep: Rectangle Union
Link	Computational Geometry	Lecture 7 - Convex Hull
Link	Computational Geometry	Lecture 8 - Convex Hull Contd
Link	Computational Geometry	Lecture 9 - Quick Hull
Link	Computational Geometry	Lecture 10 - More Convex Hull Algorithms
Link	Computational Geometry	Lecture 11 - Intersection of Half Planes and Duality
Link	Computational Geometry	Lecture 12 - Intersection of Half Planes and Duality Contd
Link	Computational Geometry	Lecture 13 - Lower Bounds
Link	Computational Geometry	Lecture 14 - Planar Point Location
Link	Computational Geometry	Lecture 15 - Point Location and Triangulation Contd...
Link	Computational Geometry	Lecture 16 - Triangulation of Arbitrary Polygon
Link	Computational Geometry	Lecture 17 - Voronoi Diagram : Properties
Link	Computational Geometry	Lecture 18 - Voronoi Diagram Construction
Link	Computational Geometry	Lecture 19 - Delaunay Triangulation
Link	Computational Geometry	Lecture 20 - Quick sort and Backward Analysis
Link	Computational Geometry	Lecture 21 - Generalized RIC
Link	Computational Geometry	Lecture 22 - RIC Continued
Link	Computational Geometry	Lecture 23 - Arrangements
Link	Computational Geometry	Lecture 24 - Zone Theorem and Application
Link	Computational Geometry	Lecture 25 - Levels
Link	Computational Geometry	Lecture 26 - Range Searching : Introduction
Link	Computational Geometry	Lecture 27 - Orthogonal Range searching
Link	Computational Geometry	Lecture 28 - Priority Search Trees
Link	Computational Geometry	Lecture 29 - Non - Orthogonal Range Searching
Link	Computational Geometry	Lecture 30 - Half - Plane Range Query
Link	Computational Geometry	Lecture 31 - Well Separated Partitioning
Link	Computational Geometry	Lecture 32 - Quadtrees Epsilon -WSPD
Link	Computational Geometry	Lecture 33 - Construction of Epsilon - WSPD
Link	Computational Geometry	Lecture 34 - Epsilon - WSPD to Geometric Spanner
Link	Computational Geometry	Lecture 35 - Epsilon-Nets & VC Dimension
Link	Computational Geometry	Lecture 36 - Epsilon-Nets & VC Dimension contd
Link	Computational Geometry	Lecture 37 - Geometric Set Cover
Link	Computational Geometry	Lecture 38 - Geometric Set Cover (with Bounded VC Dimension)
Link	Computational Geometry	Lecture 39 - Shape Representation
Link	Computational Geometry	Lecture 40 - Shape Comparison
Link	Logic for CS	Lecture 1 - Introduction
Link	Logic for CS	Lecture 2 - Propositional Logic Syntax
Link	Logic for CS	Lecture 3 - Semantics of Propositional Logic
Link	Logic for CS	Lecture 4 - Logical and Algebraic Concepts
Link	Logic for CS	Lecture 5 - Identities and Normal forms
Link	Logic for CS	Lecture 6 - Tautology Checking
Link	Logic for CS	Lecture 7 - Propositional Unsatisfiability
Link	Logic for CS	Lecture 8 - Analytic Tableaux
Link	Logic for CS	Lecture 9 - Consistency and Completeness
Link	Logic for CS	Lecture 10 - The Completeness Theorem
Link	Logic for CS	Lecture 11 - Maximally Consistent Sets
Link	Logic for CS	Lecture 12 - Formal Theories
Link	Logic for CS	Lecture 13 - Proof Theory : Hilbert-style
Link	Logic for CS	Lecture 14 - Derived Rules
Link	Logic for CS	Lecture 15 - The Hilbert System : Soundness
Link	Logic for CS	Lecture 16 - The Hilbert System : Completeness
Link	Logic for CS	Lecture 17 - Introduction to Predicate Logic
Link	Logic for CS	Lecture 18 - The Semantic of Predicate Logic
Link	Logic for CS	Lecture 19 - Subsitutions
Link	Logic for CS	Lecture 20 - Models
Link	Logic for CS	Lecture 21 - Structures and Substructures
Link	Logic for CS	Lecture 22 - First-Order Theories
Link	Logic for CS	Lecture 23 - Predicate Logic: Proof Theory (Continued...)
Link	Logic for CS	Lecture 24 - Existential Quantification
Link	Logic for CS	Lecture 25 - Normal Forms
Link	Logic for CS	Lecture 26 - Skalemization
Link	Logic for CS	Lecture 27 - Substitutions and Instantiations
Link	Logic for CS	Lecture 28 - Unification
Link	Logic for CS	Lecture 29 - Resolution in FOL
Link	Logic for CS	Lecture 30 - More on Resolution in FOL
Link	Logic for CS	Lecture 31 - Resolution : Soundness and Completeness
Link	Logic for CS	Lecture 32 - Resolution and Tableaux
Link	Logic for CS	Lecture 33 - Completeness of Tableaux Method
Link	Logic for CS	Lecture 34 - Completeness of the Hilbert System
Link	Logic for CS	Lecture 35 - First-Order Theories
Link	Logic for CS	Lecture 36 - Towards Logic Programming
Link	Logic for CS	Lecture 37 - Verification of Imperative Programs
Link	Logic for CS	Lecture 38 - Verification of WHILE Programs
Link	Logic for CS	Lecture 39 - References
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 1 - Introduction to Computer Architecture
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 2 - History of Computers
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 3 - Instruction Set Architecture - I
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 4 - Instruction Set Architecture - II
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 5 - Instruction Set Architecture - III
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 6 - Recursive Programs
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 7 - Architecture Space
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 8 - Architecture Examples
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 9 - Performance
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 10 - Performance
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 11 - Binary Arithmetic, ALU Design
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 12 - ALU Design, Overflow
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 13 - Multiplier Design
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 14 - Divider Design
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 15 - Fast Addition , Multiplication
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 16 - Floating Point Arithmetic
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 17 - Processor Design - Introduction
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 18 - Processor Design
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 19 - Processor Design - Simple Design
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 20 - Processor Design - Multi Cycle Approach
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 21 - Processor Design - Control for Multi Cycle
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 22 - Processor Design - Micro programmed Control
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 23 - Processor Design - Exception Handling
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 24 - Pipelined Processor Design Basic Idea
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 25 - Pipelined Processor Design: Data path
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 26 - Pipelined Processor Design: Handling Data
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 27 - Pipelined Processor Design
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 28 - Memory Hierarchy : Basic Idea
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 29 - Memory Hierarchy : Cache Organization
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 30 - Memory Hierarchy : Cache Organization
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 31 - Memory Hierarchy : Virtual Memory
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 32 - Memory Hierarchy : Virtual Memory
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 33 - Input / Output Subsystem: Introduction
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 34 - Input / Output Subsystem: Interfaces and buses
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 35 - Input / Output Subsystem: Interfaces and buses
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 36 - Input / Output Subsystem: I/O Operations
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 37 - Input / Output Subsystem: Designing I/O Systems
Link	Computer Architecture (Prof. Anshul Kumar)	Lecture 38 - Concluding Remarks
Link	Data Structures And Algorithms	Lecture 1 - Introduction to Data Structures and Algorithms
Link	Data Structures And Algorithms	Lecture 2 - Stacks
Link	Data Structures And Algorithms	Lecture 3 - Queues and Linked Lists
Link	Data Structures And Algorithms	Lecture 4 - Dictionaries
Link	Data Structures And Algorithms	Lecture 5 - Hashing
Link	Data Structures And Algorithms	Lecture 6 - Trees
Link	Data Structures And Algorithms	Lecture 7 - Tree Walks / Traversals
Link	Data Structures And Algorithms	Lecture 8 - Ordered Dictionaries
Link	Data Structures And Algorithms	Lecture 9 - Deletion
Link	Data Structures And Algorithms	Lecture 10 - Quick Sort
Link	Data Structures And Algorithms	Lecture 11 - AVL Trees
Link	Data Structures And Algorithms	Lecture 12 - AVL Trees
Link	Data Structures And Algorithms	Lecture 13 - Trees
Link	Data Structures And Algorithms	Lecture 14 - Red Black Trees
Link	Data Structures And Algorithms	Lecture 15 - Insertion in Red Black Trees
Link	Data Structures And Algorithms	Lecture 16 - Disk Based Data Structures
Link	Data Structures And Algorithms	Lecture 17 - Case Study: Searching for Patterns
Link	Data Structures And Algorithms	Lecture 18 - Tries
Link	Data Structures And Algorithms	Lecture 19 - Data Compression
Link	Data Structures And Algorithms	Lecture 20 - Priority Queues
Link	Data Structures And Algorithms	Lecture 21 - Binary Heaps
Link	Data Structures And Algorithms	Lecture 22 - Why Sorting
Link	Data Structures And Algorithms	Lecture 23 - More Sorting
Link	Data Structures And Algorithms	Lecture 24 - Graphs
Link	Data Structures And Algorithms	Lecture 25 - Data Structures for Graphs
Link	Data Structures And Algorithms	Lecture 26 - Two Applications of Breadth First Search
Link	Data Structures And Algorithms	Lecture 27 - Depth First Search
Link	Data Structures And Algorithms	Lecture 28 - Applications of DFS
Link	Data Structures And Algorithms	Lecture 29 - DFS in Directed Graphs
Link	Data Structures And Algorithms	Lecture 30 - Applications of DFS in Directed Graphs
Link	Data Structures And Algorithms	Lecture 31 - Minimum Spanning Trees
Link	Data Structures And Algorithms	Lecture 32 - The Union
Link	Data Structures And Algorithms	Lecture 33 - Prims Algorithm for Minimum Spanning Trees
Link	Data Structures And Algorithms	Lecture 34 - Single Source Shortest Paths
Link	Data Structures And Algorithms	Lecture 35 - Correctness of Dijkstras Algorithm
Link	Data Structures And Algorithms	Lecture 36 - Single Source Shortest Paths
Link	Introduction to Computer Graphics	Lecture 1 - Introduction
Link	Introduction to Computer Graphics	Lecture 2 - Raster Graphics
Link	Introduction to Computer Graphics	Lecture 3 - Raster Graphics (Continued...)
Link	Introduction to Computer Graphics	Lecture 4 - Clipping
Link	Introduction to Computer Graphics	Lecture 5 - Polygon Clipping and Polygon Scan Conversion
Link	Introduction to Computer Graphics	Lecture 6 - Transformations
Link	Introduction to Computer Graphics	Lecture 7 - Transformations (Continued...)
Link	Introduction to Computer Graphics	Lecture 8 - 3D Viewing
Link	Introduction to Computer Graphics	Lecture 9 - 3D Viewing (Continued...)
Link	Introduction to Computer Graphics	Lecture 10 - Curves
Link	Introduction to Computer Graphics	Lecture 11 - Assignment - I
Link	Introduction to Computer Graphics	Lecture 12 - Curves (Continued...)
Link	Introduction to Computer Graphics	Lecture 13 - Curves (Continued...)
Link	Introduction to Computer Graphics	Lecture 14 - Curves (Continued...)
Link	Introduction to Computer Graphics	Lecture 15 - Curves (Continued...)
Link	Introduction to Computer Graphics	Lecture 16 - Surfaces
Link	Introduction to Computer Graphics	Lecture 17 - Surfaces (Continued...)
Link	Introduction to Computer Graphics	Lecture 18 - Surfaces (Continued...)
Link	Introduction to Computer Graphics	Lecture 19 - Surfaces (Continued...)
Link	Introduction to Computer Graphics	Lecture 20 - Hierarchical Models
Link	Introduction to Computer Graphics	Lecture 21 - Rendering
Link	Introduction to Computer Graphics	Lecture 22 - Rendering (Continued...)
Link	Introduction to Computer Graphics	Lecture 23 - Rendering (Continued...)
Link	Introduction to Computer Graphics	Lecture 24 - Ray Tracing
Link	Introduction to Computer Graphics	Lecture 25 - Ray Tracing (Continued...)
Link	Introduction to Computer Graphics	Lecture 26 - Ray Tracing (Continued...)
Link	Introduction to Computer Graphics	Lecture 27 - Assignment: Ray Tracing
Link	Introduction to Computer Graphics	Lecture 28 - Hidden Surface Elimination
Link	Introduction to Computer Graphics	Lecture 29 - Hidden Surface Elimination (Continued...)
Link	Introduction to Computer Graphics	Lecture 30 - Hidden Surface Elimination (Continued...)
Link	Introduction to Computer Graphics	Lecture 31 - Fractals
Link	Introduction to Computer Graphics	Lecture 32 - Fractals (Continued...)
Link	Introduction to Computer Graphics	Lecture 33 - Computer Animation
Link	Introduction to Computer Graphics	Lecture 34 - Animation (Continued...)
Link	Introduction to Computer Graphics	Lecture 35 - Animation (Continued...)
Link	Principles of Programming Languages	Lecture 1 - Introduction
Link	Principles of Programming Languages	Lecture 2 - Syntax
Link	Principles of Programming Languages	Lecture 3 - Grammars
Link	Principles of Programming Languages	Lecture 4 - Ambiguity
Link	Principles of Programming Languages	Lecture 5 - PLO:Syntax
Link	Principles of Programming Languages	Lecture 6 - Semantics
Link	Principles of Programming Languages	Lecture 7 - Syntactic Classes
Link	Principles of Programming Languages	Lecture 8 - Transition Systems
Link	Principles of Programming Languages	Lecture 9 - PL0 : Expressions
Link	Principles of Programming Languages	Lecture 10 - Binding
Link	Principles of Programming Languages	Lecture 11 - Environments
Link	Principles of Programming Languages	Lecture 12 - Declarations
Link	Principles of Programming Languages	Lecture 13 - Commands
Link	Principles of Programming Languages	Lecture 14 - Stores
Link	Principles of Programming Languages	Lecture 15 - Summary
Link	Principles of Programming Languages	Lecture 16 - Declarations and Commands
Link	Principles of Programming Languages	Lecture 17 - Blocks
Link	Principles of Programming Languages	Lecture 18 - Qualification
Link	Principles of Programming Languages	Lecture 19 - Pragmatics
Link	Principles of Programming Languages	Lecture 20 - Data
Link	Principles of Programming Languages	Lecture 21 - Structured Data
Link	Principles of Programming Languages	Lecture 22 - Sequences
Link	Principles of Programming Languages	Lecture 23 - Control
Link	Principles of Programming Languages	Lecture 24 - Non-Determinacy
Link	Principles of Programming Languages	Lecture 25 - Programming Languages
Link	Principles of Programming Languages	Lecture 26 - Programming Languages
Link	Principles of Programming Languages	Lecture 27 - Programming Languages
Link	Principles of Programming Languages	Lecture 28 - Data as Functions
Link	Principles of Programming Languages	Lecture 29 - Data and Fixpoints
Link	Principles of Programming Languages	Lecture 30 - Normal Forms
Link	Principles of Programming Languages	Lecture 31 - Programming Languages
Link	Principles of Programming Languages	Lecture 32 - Monomorphism
Link	Principles of Programming Languages	Lecture 33 - Polymorphism
Link	Principles of Programming Languages	Lecture 34 - Type Checking
Link	Principles of Programming Languages	Lecture 35 - Contexts
Link	Principles of Programming Languages	Lecture 36 - Abstracts
Link	Principles of Programming Languages	Lecture 37 - Procedures
Link	Principles of Programming Languages	Lecture 38 - Meanings
Link	Principles of Programming Languages	Lecture 39 - Parameters
Link	Principles of Programming Languages	Lecture 40 - The Future
Link	Parallel Computing	Lecture 1 - Introduction
Link	Parallel Computing	Lecture 2 - Parallel Programming Paradigms
Link	Parallel Computing	Lecture 3 - Parallel Architecture
Link	Parallel Computing	Lecture 4 - Parallel Architecture (case studies)
Link	Parallel Computing	Lecture 5 - Open MP
Link	Parallel Computing	Lecture 6 - Open MP (Continued.)
Link	Parallel Computing	Lecture 7 - Open MP (Continued..)
Link	Parallel Computing	Lecture 8 - Open MP & PRAM Model of Computation
Link	Parallel Computing	Lecture 9 - PRAM
Link	Parallel Computing	Lecture 10 - Models of Parallel Computation, Complexity
Link	Parallel Computing	Lecture 11 - Memory Consistency
Link	Parallel Computing	Lecture 12 - Memory Consistency & Performance Issues
Link	Parallel Computing	Lecture 13 - Parallel Program Design
Link	Parallel Computing	Lecture 14 - Shared Memory & Message Passing
Link	Parallel Computing	Lecture 15 - MPI
Link	Parallel Computing	Lecture 16 - MPI (Continued.)
Link	Parallel Computing	Lecture 17 - MPI (Continued..)
Link	Parallel Computing	Lecture 18 - Algorithmic Techniques
Link	Parallel Computing	Lecture 19 - Algorithmic Techniques (Continued.)
Link	Parallel Computing	Lecture 20 - Algorithmic Techniques (Continued..)
Link	Parallel Computing	Lecture 21 - CUDA
Link	Parallel Computing	Lecture 22 - CUDA (Continued.)
Link	Parallel Computing	Lecture 23 - CUDA (Continued..)
Link	Parallel Computing	Lecture 24 - CUDA (Continued...)
Link	Parallel Computing	Lecture 25 - CUDA (Continued....)
Link	Parallel Computing	Lecture 26 - CUDA (Continued.....)
Link	Parallel Computing	Lecture 27 - CUDA (Continued......)
Link	Parallel Computing	Lecture 28 - Algorithms, Merging & Sorting
Link	Parallel Computing	Lecture 29 - Algorithms, Merging & Sorting (Continued.)
Link	Parallel Computing	Lecture 30 - Algorithms, Merging & Sorting (Continued..)
Link	Parallel Computing	Lecture 31 - Algorithms, Merging & Sorting (Continued...)
Link	Parallel Computing	Lecture 32 - Algorithms, Merging & Sorting (Continued....)
Link	Parallel Computing	Lecture 33 - Lower Bounds Lock Free Synchronization, Load Stealing
Link	Parallel Computing	Lecture 34 - Lock Free Synchronization, Graph Algorithms
Link	Operating Systems	Lecture 1 - Introduction to UNIX System Calls - Part 1
Link	Operating Systems	Lecture 2 - Introduction to UNIX System Calls - Part 2
Link	Operating Systems	Lecture 3 - Threads, Address Spaces, Filesystem Devices
Link	Operating Systems	Lecture 4 - PC Architecture
Link	Operating Systems	Lecture 5 - x86 Instruction Set, GCC Calling Conventions
Link	Operating Systems	Lecture 6 - Physical Memory Map, I/O, Segmentation
Link	Operating Systems	Lecture 7 - Segmentation, Trap Handling
Link	Operating Systems	Lecture 8 - Traps, Trap Handlers
Link	Operating Systems	Lecture 9 - Kernel Data Structures, Memory Management
Link	Operating Systems	Lecture 10 - Segmentation Review, Introduction to Paging
Link	Operating Systems	Lecture 11 - Paging
Link	Operating Systems	Lecture 12 - Process Address Spaces Using Paging
Link	Operating Systems	Lecture 13 - Translation Lookaside Buffer, Large Pages, Boot Sector
Link	Operating Systems	Lecture 14 - Loading the kernel, Initializing the Page table
Link	Operating Systems	Lecture 15 - Setting up page tables for user processes
Link	Operating Systems	Lecture 16 - Processes in action
Link	Operating Systems	Lecture 17 - Process structure, Context Switching
Link	Operating Systems	Lecture 18 - Process Kernel stack, Scheduler, Fork,Context-Switch, Process Control Block, Trap Entry and Return
Link	Operating Systems	Lecture 19 - Creating the first process
Link	Operating Systems	Lecture 20 - Handling User Pointers, Concurrency
Link	Operating Systems	Lecture 21 - Locking
Link	Operating Systems	Lecture 22 - Fine-grained Locking and its challenges
Link	Operating Systems	Lecture 23 - Locking variations
Link	Operating Systems	Lecture 24 - Condition variables
Link	Operating Systems	Lecture 25 - Multiple producer, multiple consumer queue; semaphores; monitors
Link	Operating Systems	Lecture 26 - Transcations and lock-free primitives read/write locks
Link	Operating Systems	Lecture 27 - Synchronization in xv6: acquire/release, sleep/wakeup, exit/wait
Link	Operating Systems	Lecture 28 - More synchronization in xv6: kill, IDE device driver; introducion to Demand Paging
Link	Operating Systems	Lecture 29 - Demand Paging; Introduction to Page Replacement
Link	Operating Systems	Lecture 30 - Page Replacement, Thrashing
Link	Operating Systems	Lecture 31 - Storage Devices, Filesystem Intrerfaces
Link	Operating Systems	Lecture 32 - File System Implementation
Link	Operating Systems	Lecture 33 - File System Operation
Link	Operating Systems	Lecture 34 - Cash Recovery and Logging
Link	Operating Systems	Lecture 35 - Logging in Linux ext3 filesystem
Link	Operating Systems	Lecture 36 - Protection and Security
Link	Operating Systems	Lecture 37 - Scheduling Policies
Link	Operating Systems	Lecture 38 - Lock-free multiprocessor coordination, Read-Copy-Update
Link	Operating Systems	Lecture 39 - Microkernel, Exokernel, Multikernel
Link	Operating Systems	Lecture 40 - Virtualization, Cloud Computing, Technology Trends
Link	NOC:Computer Architecture (2017)	Lecture 1 - Introduction to Computer Architecture
Link	NOC:Computer Architecture (2017)	Lecture 2 - The Language of Bits - Part-I
Link	NOC:Computer Architecture (2017)	Lecture 3 - The Language of Bits - Part-II
Link	NOC:Computer Architecture (2017)	Lecture 4 - The Language of Bits - Part-III
Link	NOC:Computer Architecture (2017)	Lecture 5 - Assembly Language - Part-I
Link	NOC:Computer Architecture (2017)	Lecture 6 - Assembly Language - Part-II
Link	NOC:Computer Architecture (2017)	Lecture 7 - Assembly Language - Part-III
Link	NOC:Computer Architecture (2017)	Lecture 8 - ARM Assembly Language - Part-I
Link	NOC:Computer Architecture (2017)	Lecture 9 - ARM Assembly Language - Part-II
Link	NOC:Computer Architecture (2017)	Lecture 10 - x86 Assembly Language - Part-I
Link	NOC:Computer Architecture (2017)	Lecture 11 - x86 Assembly Language - Part-II
Link	NOC:Computer Architecture (2017)	Lecture 12 - x86 Assembly Language - Part-III
Link	NOC:Computer Architecture (2017)	Lecture 13 - x86 Assembly Language - Part-IV
Link	NOC:Computer Architecture (2017)	Lecture 14 - A Primer on Digital Logic - Part-I
Link	NOC:Computer Architecture (2017)	Lecture 15 - A Primer on Digital Logic - Part-II
Link	NOC:Computer Architecture (2017)	Lecture 16 - A Primer on Digital Logic - Part-III
Link	NOC:Computer Architecture (2017)	Lecture 17 - Computer Arithmetic - Part-I
Link	NOC:Computer Architecture (2017)	Lecture 18 - Computer Arithmetic - Part-II
Link	NOC:Computer Architecture (2017)	Lecture 19 - Computer Arithmetic - Part-III
Link	NOC:Computer Architecture (2017)	Lecture 20 - Computer Arithmetic - Part-IV
Link	NOC:Computer Architecture (2017)	Lecture 21 - Computer Arithmetic - Part-V
Link	NOC:Computer Architecture (2017)	Lecture 22 - Computer Arithmetic - Part-VI
Link	NOC:Computer Architecture (2017)	Lecture 23 - Processor Design - Part-I
Link	NOC:Computer Architecture (2017)	Lecture 24 - Processor Design - Part-II
Link	NOC:Computer Architecture (2017)	Lecture 25 - Processor Design - Part-III
Link	NOC:Computer Architecture (2017)	Lecture 26 - Principles of Pipelining - Part-I
Link	NOC:Computer Architecture (2017)	Lecture 27 - Principles of Pipelining - Part-II
Link	NOC:Computer Architecture (2017)	Lecture 28 - Principles of Pipelining - Part-III
Link	NOC:Computer Architecture (2017)	Lecture 29 - Principles of Pipelining - Part-IV
Link	NOC:Computer Architecture (2017)	Lecture 30 - The Memory Systems - Part-I
Link	NOC:Computer Architecture (2017)	Lecture 31 - The Memory Systems - Part-II
Link	NOC:Computer Architecture (2017)	Lecture 32 - The Memory Systems - Part-III
Link	NOC:Computer Architecture (2017)	Lecture 33 - The Memory Systems - Part-IV
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 1 - Introduction to Parallel Programming
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 2 - Parallel Architectures and Programming Models
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 3 - Pipelining
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 4 - Superpipelining and VLIW
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 5 - Memory Latency
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 6 - Cache and Temporal Locality
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 7 - Cache, Memory bandwidth and Spatial Locality
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 8 - Intuition for Shared and Distributed Memory architectures
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 9 - Shared and Distributed Memory architectures
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 10 - Interconnection networks in Distributed Memory architectures
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 11 - OpenMP: A parallel Hello World Program
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 12 - Program with Single thread
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 13 - Program Memory with Multiple threads and Multi-tasking
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 14 - Context Switching
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 15 - OpenMP: Basic thread functions
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 16 - OpenMP: About OpenMP
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 17 - Shared Memory Consistency Models and the Sequential Consistency Model
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 18 - Race Conditions
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 19 - OpenMP: Scoping variables and some race conditions
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 20 - OpenMP: thread private variables and more constructs
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 21 - Computing sum: first attempt at parallelization
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 22 - Manual distribution of work and critical sections
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 23 - Distributing for loops and reduction
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 24 - Vector-Vector operations (Dot product)
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 25 - Matrix-Vector operations (Matrix-Vector Multiply)
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 26 - Matrix-Matrix operations (Matrix-Matrix Multiply)
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 27 - Introduction to tasks
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 28 - Task queues and task execution
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 29 - Accessing variables in tasks
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 30 - Completion of tasks and scoping variables in tasks
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 31 - Recursive task spawning and pitfalls
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 32 - Understanding LU Factorization
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 33 - Parallel LU Factorization
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 34 - Locks
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 35 - Advanced Task handling
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 36 - Matrix Multiplication using tasks
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 37 - The OpenMP Shared Memory Consistency Model
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 38 - Applications finite element method
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 39 - Applications deep learning
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 40 - Introduction to MPI and basic calls
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 41 - MPI calls to send and receive data
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 42 - MPI calls for broadcasting data
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 43 - MPI non blocking calls
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 44 - Application distributed histogram updation
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 45 - MPI collectives and MPI broadcast
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 46 - MPI gathering and scattering collectives
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 47 - MPI reduction and alltoall collectives
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 48 - Discussion on MPI collectives design
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 49 - Characteriziation of interconnects
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 50 - Linear arrays 2D mesh and torus
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 51 - d dimensional torus
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 52 - Hypercube
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 53 - Trees and cliques
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 54 - Hockney model
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 55 - Broadcast and Reduce with recursive doubling
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 56 - Scatter and Gather with recursive doubling
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 57 - Reduce scatter and All gather with recursive doubling
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 58 - Discussion of message sizes in analysis
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 59 - Revisiting Reduce scatter on 2D mesh
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 60 - Reduce scatter and Allreduce on the Hypercube
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 61 - Alltoall on the Hypercube
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 62 - Lower bounds
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 63 - Pipeline based algorithm for Allreduce
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 64 - An improved algorithm for Alltoall on the Hypercube using E-cube routing
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 65 - Pipeline based algorithm for Broadcast
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 66 - Introduction to parallel graph algorithms
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 67 - Breadth First Search BFS using matrix algebra
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 68 - BFS Shared memory parallelization using OpenMP
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 69 - Distributed memory settings and data distribution
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 70 - Distributed BFS algorithm
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 71 - Performance considerations
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 72 - Prims Algorithm
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 73 - OpenMP based shared memory parallelization for MST
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 74 - MPI based distributed memory parallelization for MST
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 75 - Sequential Algorithm Adaptation from Prims
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 76 - Parallelization Strategy for Prims algorithm
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 77 - Dry run with the parallel strategy
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 78 - Johnsons algorithm with 1D data distribution
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 79 - Speedup analysis on a grid graph
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 80 - Floyds algorithm for all pair shortest paths
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 81 - Floyds algorithm with 2D data distribution
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 82 - Adaptation to transitive closures
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 83 - Parallelization strategy for connected components
Link	NOC:Introduction to Parallel Programming in OpenMP	Lecture 84 - Analysis for parallel connected components
Link	NOC:Synthesis of Digital Systems	Lecture 1 - Outline - What is Synthesis?
Link	NOC:Synthesis of Digital Systems	Lecture 2 - Chip Design Flow and Hardware Modelling
Link	NOC:Synthesis of Digital Systems	Lecture 3 - VHDL: Introduction to Hardware Description Languages and VHDL Basics
Link	NOC:Synthesis of Digital Systems	Lecture 4 - VHDL: Modelling Timing - Events and Transactions
Link	NOC:Synthesis of Digital Systems	Lecture 5 - VHDL: Specifying Hardware Behaviour with Processes
Link	NOC:Synthesis of Digital Systems	Lecture 6 - VHDL: Specifying Structure, Test Benches, Parameterisation, and Libraries
Link	NOC:Synthesis of Digital Systems	Lecture 7 - Introduction to High-level Synthesis
Link	NOC:Synthesis of Digital Systems	Lecture 8 - Language front-end Design Representation
Link	NOC:Synthesis of Digital Systems	Lecture 9 - Compiler Transformation in High Level Synthesis: Constant Folding, Dead Code Elimination, Constant Propagation, and Strength Reduction
Link	NOC:Synthesis of Digital Systems	Lecture 10 - Memory Modelling and Compiler Transformation in High Level Synthesis: Common Sub-expression Elimination and Loop Invariant Code Motion
Link	NOC:Synthesis of Digital Systems	Lecture 11 - Compiler Transformations in High Level Synthesis: Loop Unrolling and Function Inlining
Link	NOC:Synthesis of Digital Systems	Lecture 12 - Hardware Transformations and ASAP / ALAP Scheduling
Link	NOC:Synthesis of Digital Systems	Lecture 13 - Scheduling in High Level Synthesis: List Scheduling and Time-constrained Scheduling
Link	NOC:Synthesis of Digital Systems	Lecture 14 - Force Directed Scheduling and Register Allocation
Link	NOC:Synthesis of Digital Systems	Lecture 15 - High Level Synthesis and Timing Issues
Link	NOC:Synthesis of Digital Systems	Lecture 16 - Finite State Machine Synthesis: Introduction to FSM Encoding
Link	NOC:Synthesis of Digital Systems	Lecture 17 - Finite State Machine Synthesis: Identifying Common Cubes and Graph Embeding
Link	NOC:Synthesis of Digital Systems	Lecture 18 - The Retiming Problem
Link	NOC:Synthesis of Digital Systems	Lecture 19 - Efficient Solution to Retiming and Introduction to Logic Synthesis
Link	NOC:Synthesis of Digital Systems	Lecture 20 - Binary Decision Diagrams
Link	NOC:Synthesis of Digital Systems	Lecture 21 - Introduction to Logic Synthesis
Link	NOC:Synthesis of Digital Systems	Lecture 22 - Two-level Logic Optimisation
Link	NOC:Synthesis of Digital Systems	Lecture 23 - Multi-Level Logic Optimisation
Link	NOC:Synthesis of Digital Systems	Lecture 24 - Multi-level Logic Synthesis: Technology Mapping
Link	NOC:Synthesis of Digital Systems	Lecture 25 - Introduction to Timing Analysis
Link	NOC:Synthesis of Digital Systems	Lecture 26 - Timing Analysis and Critical Paths
Link	NOC:An Introduction to Artificial Intelligence	Lecture 1 - Introduction: What to Expect from AI
Link	NOC:An Introduction to Artificial Intelligence	Lecture 2 - Introduction: History of AI from 40s - 90s
Link	NOC:An Introduction to Artificial Intelligence	Lecture 3 - Introduction: History of AI in the 90s
Link	NOC:An Introduction to Artificial Intelligence	Lecture 4 - Introduction: History of AI in NASA and DARPA (2000s)
Link	NOC:An Introduction to Artificial Intelligence	Lecture 5 - Introduction: The Present State of AI
Link	NOC:An Introduction to Artificial Intelligence	Lecture 6 - Introduction: Definition of AI Dictionary Meaning
Link	NOC:An Introduction to Artificial Intelligence	Lecture 7 - Introduction: Definition of AI Thinking VS Acting and Humanly VS Rationally
Link	NOC:An Introduction to Artificial Intelligence	Lecture 8 - Introduction: Definition of AI Rational Agent View of AI
Link	NOC:An Introduction to Artificial Intelligence	Lecture 9 - Introduction: Examples Tasks, Phases of AI and Course Plan
Link	NOC:An Introduction to Artificial Intelligence	Lecture 10 - Uniform Search: Notion of a State
Link	NOC:An Introduction to Artificial Intelligence	Lecture 11 - Uniformed Search: Search Problem and Examples - Part 2
Link	NOC:An Introduction to Artificial Intelligence	Lecture 12 - Uniformed Search: Basic Search Strategies - Part 3
Link	NOC:An Introduction to Artificial Intelligence	Lecture 13 - Uniformed Search: Iterative Deepening DFS - Part 4
Link	NOC:An Introduction to Artificial Intelligence	Lecture 14 - Uniformed Search: Bidirectional Search - Part 5
Link	NOC:An Introduction to Artificial Intelligence	Lecture 15 - Informed Search: Best First Search - Part 1
Link	NOC:An Introduction to Artificial Intelligence	Lecture 16 - Informed Search: Greedy Best First Search and A* Search - Part 2
Link	NOC:An Introduction to Artificial Intelligence	Lecture 17 - Informed Search: Analysis of A* Algorithm - Part 3
Link	NOC:An Introduction to Artificial Intelligence	Lecture 18 - Informed Search Proof of optimality of A* - Part 4
Link	NOC:An Introduction to Artificial Intelligence	Lecture 19 - Informed Search: Iterative Deepening A* and Depth First Branch and Bound - Part 5
Link	NOC:An Introduction to Artificial Intelligence	Lecture 20 - Informed Search: Admissible Heuristics and Domain Relaxation - Part 6
Link	NOC:An Introduction to Artificial Intelligence	Lecture 21 - Informed Search: Pattern Database Heuristics - Part 7
Link	NOC:An Introduction to Artificial Intelligence	Lecture 22 - Local Search: Satisfaction Vs Optimization - Part 1
Link	NOC:An Introduction to Artificial Intelligence	Lecture 23 - Local Search: The Example of N-Queens - Part 2
Link	NOC:An Introduction to Artificial Intelligence	Lecture 24 - Local Search: Hill Climbing - Part 3
Link	NOC:An Introduction to Artificial Intelligence	Lecture 25 - Local Search: Drawbacks of Hill Climbing - Part 4
Link	NOC:An Introduction to Artificial Intelligence	Lecture 26 - Local Search: of Hill Climbing With random Walk and Random Restart - Part 5
Link	NOC:An Introduction to Artificial Intelligence	Lecture 27 - Local Search: Hill Climbing With Simulated Anealing - Part 6
Link	NOC:An Introduction to Artificial Intelligence	Lecture 28 - Local Search: Local Beam Search and Genetic Algorithms - Part 7
Link	NOC:An Introduction to Artificial Intelligence	Lecture 29 - Adversarial Search: Minimax Algorithm for two player games
Link	NOC:An Introduction to Artificial Intelligence	Lecture 30 - Adversarial Search: An Example of Minimax Search
Link	NOC:An Introduction to Artificial Intelligence	Lecture 31 - Adversarial Search: Alpha Beta Pruning
Link	NOC:An Introduction to Artificial Intelligence	Lecture 32 - Adversarial Search: Analysis of Alpha Beta Pruning
Link	NOC:An Introduction to Artificial Intelligence	Lecture 33 - Adversarial Search: Analysis of Alpha Beta Pruning (Continued...)
Link	NOC:An Introduction to Artificial Intelligence	Lecture 34 - Adversarial Search: Horizon Effect, Game Databases and Other Ideas
Link	NOC:An Introduction to Artificial Intelligence	Lecture 35 - Adversarial Search: Summary and Other Games
Link	NOC:An Introduction to Artificial Intelligence	Lecture 36 - Constraint Satisfaction Problems: Representation of the atomic state
Link	NOC:An Introduction to Artificial Intelligence	Lecture 37 - Constraint Satisfaction Problems: Map coloring and other examples of CSP
Link	NOC:An Introduction to Artificial Intelligence	Lecture 38 - Constraint Satisfaction Problems: Backtracking Search
Link	NOC:An Introduction to Artificial Intelligence	Lecture 39 - Constraint Satisfaction Problems: Variable and Value Ordering in Backtracking Search
Link	NOC:An Introduction to Artificial Intelligence	Lecture 40 - Constraint Satisfaction Problems: Inference for detecting failures early
Link	NOC:An Introduction to Artificial Intelligence	Lecture 41 - Constraint Satisfaction Problems: Exploiting problem structure
Link	NOC:An Introduction to Artificial Intelligence	Lecture 42 - Logic in AI : Different Knowledge Representation systems - Part 1
Link	NOC:An Introduction to Artificial Intelligence	Lecture 43 - Logic in AI : Syntax - Part 2
Link	NOC:An Introduction to Artificial Intelligence	Lecture 44 - Logic in AI : Semantics - Part 3
Link	NOC:An Introduction to Artificial Intelligence	Lecture 45 - Logic in AI : Forward Chaining - Part 4
Link	NOC:An Introduction to Artificial Intelligence	Lecture 46 - Logic in AI : Resolution - Part 5
Link	NOC:An Introduction to Artificial Intelligence	Lecture 47 - Logic in AI : Reduction to Satisfiability Problems - Part 6
Link	NOC:An Introduction to Artificial Intelligence	Lecture 48 - Logic in AI : SAT Solvers: DPLL Algorithm - Part 7
Link	NOC:An Introduction to Artificial Intelligence	Lecture 49 - Logic in AI : Sat Solvers: WalkSAT Algorithm - Part 8
Link	NOC:An Introduction to Artificial Intelligence	Lecture 50 - Uncertainty in AI: Motivation
Link	NOC:An Introduction to Artificial Intelligence	Lecture 51 - Uncertainty in AI: Basics of Probability
Link	NOC:An Introduction to Artificial Intelligence	Lecture 52 - Uncertainty in AI: Conditional Independence and Bayes Rule
Link	NOC:An Introduction to Artificial Intelligence	Lecture 53 - Bayesian Networks: Syntax
Link	NOC:An Introduction to Artificial Intelligence	Lecture 54 - Bayesian Networks: Factoriziation
Link	NOC:An Introduction to Artificial Intelligence	Lecture 55 - Bayesian Networks: Conditional Independences and d-Separation
Link	NOC:An Introduction to Artificial Intelligence	Lecture 56 - Bayesian Networks: Inference using Variable Elimination
Link	NOC:An Introduction to Artificial Intelligence	Lecture 57 - Bayesian Networks: Reducing 3-SAT to Bayes Net
Link	NOC:An Introduction to Artificial Intelligence	Lecture 58 - Bayesian Networks: Rejection Sampling
Link	NOC:An Introduction to Artificial Intelligence	Lecture 59 - Bayesian Networks: Likelihood Weighting
Link	NOC:An Introduction to Artificial Intelligence	Lecture 60 - Bayesian Networks: MCMC with Gibbs Sampling
Link	NOC:An Introduction to Artificial Intelligence	Lecture 61 - Bayesian Networks: Maximum Likelihood Learning
Link	NOC:An Introduction to Artificial Intelligence	Lecture 62 - Bayesian Networks: Maximum a-Posteriori Learning
Link	NOC:An Introduction to Artificial Intelligence	Lecture 63 - Bayesian Networks: Bayesian Learning
Link	NOC:An Introduction to Artificial Intelligence	Lecture 64 - Bayesian Networks: Structure Learning and Expectation Maximization
Link	NOC:An Introduction to Artificial Intelligence	Lecture 65 - Introduction, Part 10: Agents and Environments
Link	NOC:An Introduction to Artificial Intelligence	Lecture 66 - Decision Theory: Steps in Decision Theory
Link	NOC:An Introduction to Artificial Intelligence	Lecture 67 - Decision Theory: Non Deterministic Uncertainty
Link	NOC:An Introduction to Artificial Intelligence	Lecture 68 - Probabilistic Uncertainty and Value of perfect information
Link	NOC:An Introduction to Artificial Intelligence	Lecture 69 - Expected Utility vs Expected Value
Link	NOC:An Introduction to Artificial Intelligence	Lecture 70 - Markov Decision Processes: Definition
Link	NOC:An Introduction to Artificial Intelligence	Lecture 71 - Markov Decision Processes: An example of a Policy
Link	NOC:An Introduction to Artificial Intelligence	Lecture 72 - Markov Decision Processes: Policy Evaluation using system of linear equations
Link	NOC:An Introduction to Artificial Intelligence	Lecture 73 - Markov Decision Processes: Iterative Policy Evaluation
Link	NOC:An Introduction to Artificial Intelligence	Lecture 74 - Markov Decision Processes: Value Iteration
Link	NOC:An Introduction to Artificial Intelligence	Lecture 75 - Markov Decision Processes: Policy Iteration and Applications and Extensions of MDPs
Link	NOC:An Introduction to Artificial Intelligence	Lecture 76 - Reinforcement Learning: Background
Link	NOC:An Introduction to Artificial Intelligence	Lecture 77 - Reinforcement Learning: Model-based Learning for policy evaluation (Passive Learning)
Link	NOC:An Introduction to Artificial Intelligence	Lecture 78 - Reinforcement Learning: Model-free Learning for policy evaluation (Passive Learning)
Link	NOC:An Introduction to Artificial Intelligence	Lecture 79 - Reinforcement Learning: TD Learning
Link	NOC:An Introduction to Artificial Intelligence	Lecture 80 - Reinforcement Learning: TD Learning and Computational Neuroscience
Link	NOC:An Introduction to Artificial Intelligence	Lecture 81 - Reinforcement Learning: Q Learning
Link	NOC:An Introduction to Artificial Intelligence	Lecture 82 - Reinforcement Learning: Exploration vs Exploitation Tradeoff
Link	NOC:An Introduction to Artificial Intelligence	Lecture 83 - Reinforcement Learning: Generalization in RL
Link	NOC:An Introduction to Artificial Intelligence	Lecture 84 - Deep Learning: Perceptrons and Activation functions
Link	NOC:An Introduction to Artificial Intelligence	Lecture 85 - Deep Learning: Example of Handwritten digit recognition
Link	NOC:An Introduction to Artificial Intelligence	Lecture 86 - Deep Learning: Neural Layer as matrix operations
Link	NOC:An Introduction to Artificial Intelligence	Lecture 87 - Deep Learning: Differentiable loss function
Link	NOC:An Introduction to Artificial Intelligence	Lecture 88 - Deep Learning: Backpropagation through a computational graph
Link	NOC:An Introduction to Artificial Intelligence	Lecture 89 - Deep Learning: Thin Deep Vs Fat Shallow Networks
Link	NOC:An Introduction to Artificial Intelligence	Lecture 90 - Deep Learning: Convolutional Neural Networks
Link	NOC:An Introduction to Artificial Intelligence	Lecture 91 - Deep Learning: Deep Reinforcement Learning
Link	NOC:An Introduction to Artificial Intelligence	Lecture 92 - Ethics of AI: Humans vs Robots
Link	NOC:An Introduction to Artificial Intelligence	Lecture 93 - Ethics of AI: Robustness and Transparency of AI systems
Link	NOC:An Introduction to Artificial Intelligence	Lecture 94 - Ethics of AI: Data Bias and Fairness of AI systems
Link	NOC:An Introduction to Artificial Intelligence	Lecture 95 - Ethics of AI: Accountability, privacy and Human-AI interaction
Link	NOC:An Introduction to Artificial Intelligence	Lecture 96 - Wrapup
Link	NOC:Advanced Computer Architecture (2021)	Lecture 1 - Introduction
Link	NOC:Advanced Computer Architecture (2021)	Lecture 2 - Out-of-Order Pipelines - Part I
Link	NOC:Advanced Computer Architecture (2021)	Lecture 3 - Out-of-Order Pipelines - Part II
Link	NOC:Advanced Computer Architecture (2021)	Lecture 4 - Out-of-Order Pipelines - Part III
Link	NOC:Advanced Computer Architecture (2021)	Lecture 5 - The Fetch and Decode Stages - Part I
Link	NOC:Advanced Computer Architecture (2021)	Lecture 6 - The Fetch and Decode Stages - Part II
Link	NOC:Advanced Computer Architecture (2021)	Lecture 7 - The Fetch and Decode Stages - Part III
Link	NOC:Advanced Computer Architecture (2021)	Lecture 8 - The Issue, Execute, and Commit Stages - Part I
Link	NOC:Advanced Computer Architecture (2021)	Lecture 9 - The Issue, Execute, and Commit Stages - Part II
Link	NOC:Advanced Computer Architecture (2021)	Lecture 10 - The Issue, Execute, and Commit Stages - Part III
Link	NOC:Advanced Computer Architecture (2021)	Lecture 11 - The Issue, Execute, and Commit Stages - Part IV
Link	NOC:Advanced Computer Architecture (2021)	Lecture 12 - Alternative Approaches to Issue and Commit - Part I
Link	NOC:Advanced Computer Architecture (2021)	Lecture 13 - Alternative Approaches to Issue and Commit - Part II
Link	NOC:Advanced Computer Architecture (2021)	Lecture 14 - Alternative Approaches to Issue and Commit - Part III
Link	NOC:Advanced Computer Architecture (2021)	Lecture 15 - Alternative Approaches to Issue and Commit - Part IV
Link	NOC:Advanced Computer Architecture (2021)	Lecture 16 - Graphics Processors - Part I
Link	NOC:Advanced Computer Architecture (2021)	Lecture 17 - Graphics Processors - Part II
Link	NOC:Advanced Computer Architecture (2021)	Lecture 18 - Graphics Processors - Part III
Link	NOC:Advanced Computer Architecture (2021)	Lecture 19 - Caches - Part I
Link	NOC:Advanced Computer Architecture (2021)	Lecture 20 - Caches - Part II
Link	NOC:Advanced Computer Architecture (2021)	Lecture 21 - Caches - Part III
Link	NOC:Advanced Computer Architecture (2021)	Lecture 22 - Caches - Part IV
Link	NOC:Advanced Computer Architecture (2021)	Lecture 23 - Caches - Part V
Link	NOC:Advanced Computer Architecture (2021)	Lecture 24 - Caches - Part VI
Link	NOC:Advanced Computer Architecture (2021)	Lecture 25 - Multicore Systems - Part I
Link	NOC:Advanced Computer Architecture (2021)	Lecture 26 - Multicore Systems - Part II
Link	NOC:Advanced Computer Architecture (2021)	Lecture 27 - Multicore Systems - Part III
Link	NOC:Advanced Computer Architecture (2021)	Lecture 28 - Multicore Systems - Part IV
Link	NOC:Advanced Computer Architecture (2021)	Lecture 29 - Multicore Systems - Part V
Link	NOC:Advanced Computer Architecture (2021)	Lecture 30 - Multicore Systems - Part VI
Link	NOC:Advanced Computer Architecture (2021)	Lecture 31 - Multicore Systems - Part VII
Link	NOC:Advanced Computer Architecture (2021)	Lecture 32 - Multicore Systems - Part VIII
Link	NOC:Advanced Computer Architecture (2021)	Lecture 33 - Multicore Systems - Part IX
Link	NOC:Advanced Distributed systems	Lecture 1
Link	NOC:Advanced Distributed systems	Lecture 2
Link	NOC:Advanced Distributed systems	Lecture 3
Link	NOC:Advanced Distributed systems	Lecture 4
Link	NOC:Advanced Distributed systems	Lecture 5
Link	NOC:Advanced Distributed systems	Lecture 6
Link	NOC:Advanced Distributed systems	Lecture 7
Link	NOC:Advanced Distributed systems	Lecture 8
Link	NOC:Advanced Distributed systems	Lecture 9
Link	NOC:Advanced Distributed systems	Lecture 10
Link	NOC:Advanced Distributed systems	Lecture 11
Link	NOC:Advanced Distributed systems	Lecture 12
Link	NOC:Advanced Distributed systems	Lecture 13
Link	NOC:Advanced Distributed systems	Lecture 14
Link	NOC:Advanced Distributed systems	Lecture 15
Link	NOC:Advanced Distributed systems	Lecture 16
Link	NOC:Advanced Distributed systems	Lecture 17
Link	NOC:Advanced Distributed systems	Lecture 18
Link	NOC:Advanced Distributed systems	Lecture 19
Link	NOC:Advanced Distributed systems	Lecture 20
Link	NOC:Advanced Distributed systems	Lecture 21
Link	NOC:Advanced Distributed systems	Lecture 22
Link	NOC:Advanced Distributed systems	Lecture 23
Link	NOC:Advanced Distributed systems	Lecture 24
Link	NOC:Advanced Distributed systems	Lecture 25
Link	NOC:Advanced Distributed systems	Lecture 26
Link	NOC:Advanced Distributed systems	Lecture 27
Link	NOC:Advanced Distributed systems	Lecture 28
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 1 - Introduction and Recent Advances
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 2 - Introduction to Natural Language Processing
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 3 - Introduction to Statistical Language Models
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 4 - Statistical LM: Advanced Smoothing and Evaluation
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 5 - Introduction to Deep Learning
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 6 - Introduction to PyTorch
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 7 - Word Representation: Word2Vec and fastText
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 8 - Word Representation: GloVe
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 9 - Tokenization Strategies
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 10 - Neural Language Models: CNN and RNN
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 11 - Neural Language Models: LSTM and GRU
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 12 - Sequence-to-Sequence Models
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 13 - Decoding Strategies
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 14 - Attention in Sequence-to-Sequence Models
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 15 - Introduction to Transformer: Self and Multi-Head Attention
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 16 - Introduction to Transformer: Positional Encoding and Layer Normalization
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 17 - Implementation of Transformer using PyTorch
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 18 - Pre-Training Strategies: ELMo, BERT
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 19 - Pre-Training Strategies: Encoder-decoder and Decoder-only Models
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 20 - Introduction to Hugging Face
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 21 - Instruction Tuning
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 22 - Prompt-based Learning
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 23 - Advanced Prompting and Prompt Sensitivity
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 24 - Alignment of Language Models - I
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 25 - Alignment of Language Models - II
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 26 - Knowledge and Retrieval: Knowledge Graph
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 27 - Knowledge and Retrieval: Knowledge Graph Completion and Evaluation
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 28 - Knowledge and Retrieval: Translation and Rotation Models
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 29 - Parameter Efficient Fine-Tuning (PEFT)
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 30 - Quantization, Pruning and Distillation
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 31 - An Alternate Formulation of Transformers: Residual Stream Perspective
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 32 - Interpretability Techniques
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 33 - Knowledge and Retrieval: Multiplicative models
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 34 - Knowledge and Retrieval: Modeling Hierarchies
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 35 - Knowledge and Retrieval: Temporal Knowledge Graphs
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 36 - Responsible LLMs
Link	NOC:Introduction to Large Language Models (LLMs)	Lecture 37 - Conclusion: Expert Panel Discussion
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 1 - Introduction to Digital VLSI Design Flow
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 2 - High Level Design Representation
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 3 - Transformations for High Level Synthesis
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 4 - Introduction to HLS: Scheduling, Allocation and Binding Problem
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 5 - Scheduling Algorithms - 1
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 6 - Scheduling Algorithms - 2
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 7 - Binding and Allocation Algorithms
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 8 - Two level Boolean Logic Synthesis - 1
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 9 - Two level Boolean Logic Synthesis - 2
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 10 - Two level Boolean Logic Synthesis - 3
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 11 - Heuristic Minimization of Two-Level Circuits
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 12 - Finite State Machine Synthesis
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 13 - Multilevel Implementation
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 14 - Introduction to formal methods for design verification
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 15 - Temporal Logic: Introduction and Basic Operators
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 16 - Syntax and Semantics of CTL
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 17 - Syntax and Semantics of CTL – Continued
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 18 - Equivalence between CTL Formulas
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 19 - Introduction to Model Checking
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 20 - Model Checking Algorithms - I
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 21 - Model Checking Algorithms - II
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 22 - Model Checking with Fairness
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 23 - Binary Decision Diagram: Introduction and construction
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 24 - Ordered Binary Decision Diagram
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 25 - Operation on Ordered Binary Decision Diagram
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 26 - Ordered Binary Decision Diagram for State Transition Systems
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 27 - Symbolic Model Checking
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 28 - Introduction to Digital VLSI Testing
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 29 - Functional and Structural Testing
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 30 - Fault Equivalence
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 31 - Fault Simulation - 1
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 32 - Fault Simulation - 2
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 33 - Fault Simulation - 3
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 34 - Testability Measures (SCOAP)
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 35 - Introduction to Automatic Test Pattern Generation (ATPG) and ATPG Algebras
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 36 - D-Algorithm - 1
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 37 - D-Algorithm - 2
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 38 - ATPG for Synchronous Sequential Circuits
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 39 - Scan Chain based Sequential Circuit Testing - 1
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 40 - Scan Chain based Sequential Circuit Testing - 2
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 41 - Built in Self Test - 1
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 42 - Built in Self Test - 2
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 43 - Memory Testing - 1
Link	Design Verification and Test of Digital VLSI Circuits	Lecture 44 - Memory Testing - 2
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 1 - Model of Computer and Working Principle
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 2 - Digital Logic Building Blocks
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 3 - Information Representation and Number Systems
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 4 - Basic Elements of a Processor
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 5 - Storage and I/O Interface
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 6 - Execution of Program and Programming Languages
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 7 - Components of Central Processing Unit (CPU) and External Interface
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 8 - Main Memory
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 9 - Instruction Execution
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 10 - Instruction Format
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 11 - Instruction Set
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 12 - Addressing Modes
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 13 - Flags and Conditional Instructions
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 14 - Instruction: Procedure CALL/RETURN
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 15 - Instruction Cycle and Micro-operations
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 16 - Control Signals and Timing Sequence
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 17 - Control Signals for Complete Instruction Execution
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 18 - Handling Different Addressing Modes
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 19 - Handling Control Transfer Instructions
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 20 - Design of Hardwired controlled Control Unit
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 21 - Microinstructions and Microprograms
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 22 - Organization and Optimization of Microprogrammed controlled Control Unit
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 23 - Different Internal CPU Bus Organization
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 24 - Basics of Memory and Cache - Part 1
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 25 - Basics of Memory and Cache - Part 2
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 26 - Direct-mapped Caches: Misses, Writes and Performance
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 27 - Associative and Multi-level Caches
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 28 - Summary - Caches
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 29 - Basics of Virtual Memory and Address Translation
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 30 - Paging and Segmentation
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 31 - TLBs and Page Fault Handling
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 32 - Cache Indexing and Tagging Variations, Demand Paging
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 33 - Page Replacement Algorithms
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 34 - Page Frame Allocation and Thrashing
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 35 - Summary - Virtual Memory
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 36 - Input-Output Primitives
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 37 - Interrupt Driven I/O
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 38 - DMA Transfer
Link	NOC:Computer Organization and Architecture - A Pedagogical Aspect	Lecture 39 - Storage Devices
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 1 - Introduction
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 2 - Modeling Techniques - 1
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 3 - Modeling Techniques - 2
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 4 - Hardware/Software Partitioning - 1
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 5 - Hardware/Software Partitioning - 2
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 6 - Introduction to Hardware Design
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 7 - Hardware Architectural Synthesis - 1
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 8 - Hardware Architectural Synthesis - 2
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 9 - Hardware Architectural Synthesis - 3
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 10 - Hardware Architectural Synthesis - 4
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 11 - Hardware Architectural Synthesis - 5
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 12 - Hardware Architectural Synthesis - 6
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 13 - Hardware Architectural Synthesis - 7
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 14 - System Level Analysis
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 15 - Uniprocessor Scheduling - 1
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 16 - Uniprocessor Scheduling - 2
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 17 - Multiprocessor Scheduling - 1
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 18 - Multiprocessor Scheduling - 2
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 19 - Introduction and Basic Operators of Temporal Logic
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 20 - Syntax and Semantics of CTL
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 21 - Equivalence between CTL formulas
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 22 - Model Checking Algorithm
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 23 - Binary Decision Diagram
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 24 - Use of OBDDs for State Transition System
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 25 - Symbolic Model Checking
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 26 - Introduction to Digital VLSI Testing
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 27 - Automatic Test Pattern Generation (ATPG)
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 28 - Scan Chain based Sequential Circuit Testing
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 29 - Software-Hardware Co-validation Fault Models and High Level Testing for Complex Embedded Systems
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 30 - Testing for embedded cores
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 31 - Bus and Memory Testing
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 32 - Testing for advanced faults in Real time Embedded Systems
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 33 - BIST for Embedded Systems
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 34 - Concurrent Testing for Fault tolerant Embedded Systems - 1
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 35 - Concurrent Testing for Fault tolerant Embedded Systems - 2
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 36 - Testing for Re-programmable hardware
Link	NOC:Embedded Systems-Design Verification and Test	Lecture 37 - Interaction Testing between Hardware and Software
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 1 - Introduction and Overview of the Course
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 2 - Instruction Execution Principles
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 3 - Introduction to Instruction Pipeline
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 4 - Introduction to Superscalar Pipelines
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 5 - Instruction Pipeline and Performance - I
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 6 - Instruction Pipeline and Performance - II
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 7 - Introduction to Cache Memory
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 8 - Block Replacement Techniques and Write Strategy
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 9 - gem5 Simulator - An Overview
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 10 - Cache Memory
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 11 - Basic Cache Optimization Techniques
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 12 - gem5 Simulator - Cache Optimisation
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 13 - Advanced Cache Optimization Techniques - I
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 14 - Advanced Cache Optimization Techniques - II
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 15 - Cache Memory Optimizations
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 16 - Introduction to DRAM System
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 17 - DRAM Controllers and Address Mapping
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 18 - Address Translation Mechanisms
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 19 - Main Memory Concepts
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 20 - Introduction to Tiled Chip Multicore Processors
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 21 - Routing Techniques in Network On Chip
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 22 - Network On Chip Router Micro-Architecture
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 23 - gem5 Simulator - NoC Optimisation
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 24 - Energy Efficient Bufferless NoC Routers
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 25 - Sidebuffered Deflection Routers
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 26 - Concepts in Network on Chip
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 27 - QoS of NoC and Caches in TCMP Systems
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 28 - Emerging Trends in Network On Chips
Link	NOC:Multi-Core Computer Architecture-Storage and Interconnects	Lecture 29 - Concepts in TCMP Systems
Link	NOC:Multi-Core Computer Architecture	Lecture 1 - Review of Basic Computer Organization
Link	NOC:Multi-Core Computer Architecture	Lecture 2 - Instruction Set and Addressing Modes
Link	NOC:Multi-Core Computer Architecture	Lecture 3 - Instruction Encoding
Link	NOC:Multi-Core Computer Architecture	Lecture 4 - Performance Evaluation Methods
Link	NOC:Multi-Core Computer Architecture	Lecture 5 - Tutorial on Performance Evaluvation
Link	NOC:Multi-Core Computer Architecture	Lecture 6 - Introduction to RISC Instruction Pipeline
Link	NOC:Multi-Core Computer Architecture	Lecture 7 - Instruction Pipeline Hazards
Link	NOC:Multi-Core Computer Architecture	Lecture 8 - Tutorial on Instruction Pipeline and Hazards
Link	NOC:Multi-Core Computer Architecture	Lecture 9 - Control Hazards and Branch Prediction
Link	NOC:Multi-Core Computer Architecture	Lecture 10 - MIPS Pipeline for Multi-Cycle Operations
Link	NOC:Multi-Core Computer Architecture	Lecture 11 - Tutorial on Longer Pipeline and Branch Prediction
Link	NOC:Multi-Core Computer Architecture	Lecture 12 - Compiler Techniques to Explore ILP
Link	NOC:Multi-Core Computer Architecture	Lecture 13 - Dynamic Scheduling to Explore ILP
Link	NOC:Multi-Core Computer Architecture	Lecture 14 - Dynamic Scheduling with Tomasulo's Algorithm
Link	NOC:Multi-Core Computer Architecture	Lecture 15 - Dynamic Scheduling with Speculative Execution
Link	NOC:Multi-Core Computer Architecture	Lecture 16 - Tutorial on Static and Dynamic Scheduling
Link	NOC:Multi-Core Computer Architecture	Lecture 17 - Advanced Pipelining and Superscalar Processors
Link	NOC:Multi-Core Computer Architecture	Lecture 18 - Introduction to GPU architectures
Link	NOC:Multi-Core Computer Architecture	Lecture 19 - Case study on GPU architectures
Link	NOC:Multi-Core Computer Architecture	Lecture 20 - Tutorial on Superscalar processors and GPU
Link	NOC:Multi-Core Computer Architecture	Lecture 21 - Introduction to Cache Memory
Link	NOC:Multi-Core Computer Architecture	Lecture 22 - Block Replacement Techniques and Write Strategy
Link	NOC:Multi-Core Computer Architecture	Lecture 23 - Design Concepts in Cache Memory
Link	NOC:Multi-Core Computer Architecture	Lecture 24 - Optimization Techniques in Cache Memory
Link	NOC:Multi-Core Computer Architecture	Lecture 25 - Advanced Cache Optimization Techniques
Link	NOC:Multi-Core Computer Architecture	Lecture 26 - Tutorial on Advanced Concepts in Cache Memory - 1
Link	NOC:Multi-Core Computer Architecture	Lecture 27 - Tutorial on Advanced Concepts in Cache Memory - 2
Link	NOC:Multi-Core Computer Architecture	Lecture 28 - Cache coherence and memory consistency
Link	NOC:Multi-Core Computer Architecture	Lecture 29 - Design Space for snooping protocols
Link	NOC:Multi-Core Computer Architecture	Lecture 30 - Directory Based Cache coherehce
Link	NOC:Multi-Core Computer Architecture	Lecture 31 - Cache coherence in multiprocessor design [T]
Link	NOC:Multi-Core Computer Architecture	Lecture 32 - Introduction to DRAM System
Link	NOC:Multi-Core Computer Architecture	Lecture 33 - DRAM Controllers and Address Mapping
Link	NOC:Multi-Core Computer Architecture	Lecture 34 - Secondary Storage Systems
Link	NOC:Multi-Core Computer Architecture	Lecture 35 - Design Concepts in Storage Systems
Link	NOC:Multi-Core Computer Architecture	Lecture 36 - Introduction to Tiled Chip Multicore Processors
Link	NOC:Multi-Core Computer Architecture	Lecture 37 - Routing Techniques in Network On Chip
Link	NOC:Multi-Core Computer Architecture	Lecture 38 - Network On Chip Router Micro-Architecture
Link	NOC:Multi-Core Computer Architecture	Lecture 39 - Concepts in Network on Chip
Link	NOC:Multi-Core Computer Architecture	Lecture 40 - Energy Efficient Bufferless NoC Routers
Link	NOC:Multi-Core Computer Architecture	Lecture 41 - Sidebuffered Deflection Routers
Link	NOC:Multi-Core Computer Architecture	Lecture 42 - Concepts in Deflection Routers [T]
Link	NOC:Multi-Core Computer Architecture	Lecture 43 - QoS of NoC and Caches in TCMP Systems
Link	NOC:Multi-Core Computer Architecture	Lecture 44 - Emerging Trends in Network On Chips
Link	NOC:Multi-Core Computer Architecture	Lecture 45 - Domain Specific Accelarators
Link	NOC:Multi-Core Computer Architecture	Lecture 46 - Introduction to VEGA Microprocessors (Case Study)
Link	NOC:Multi-Core Computer Architecture	Lecture 47 - Concepts in TCMP Systems
Link	NOC:Multi-Core Computer Architecture	Lecture 48 - How to Explore Computer Architecture?
Link	NOC:Randomized Algorithms	Lecture 1 - Introduction to Randomized Algorithms
Link	NOC:Randomized Algorithms	Lecture 2 - Randomized Mincut Algorithm
Link	NOC:Randomized Algorithms	Lecture 3 - Randomized Find
Link	NOC:Randomized Algorithms	Lecture 4 - Probability Review
Link	NOC:Randomized Algorithms	Lecture 5 - Expectation of Random Variables
Link	NOC:Randomized Algorithms	Lecture 6 - Conditional Probability and Conditional Expectation2
Link	NOC:Randomized Algorithms	Lecture 7 - Birthday Paradox
Link	NOC:Randomized Algorithms	Lecture 8 - Markov and Chebychev's Inequalities
Link	NOC:Randomized Algorithms	Lecture 9 - Median Algorithm
Link	NOC:Randomized Algorithms	Lecture 10 - Chernoff Bound
Link	NOC:Randomized Algorithms	Lecture 11 - Permutation Routing on a Hypercube
Link	NOC:Randomized Algorithms	Lecture 12 - Permutation Routing on a Hypercube (Analysis)
Link	NOC:Randomized Algorithms	Lecture 13 - Introduction to Probabilistic Method
Link	NOC:Randomized Algorithms	Lecture 14 - More Examples on Probabilistic Method
Link	NOC:Randomized Algorithms	Lecture 15 - Lovasz Local Lemma
Link	NOC:Randomized Algorithms	Lecture 16 - Introduction to Markov Chains
Link	NOC:Randomized Algorithms	Lecture 17 - 2-SAT and Markov Chains
Link	NOC:Randomized Algorithms	Lecture 18 - 3-SAT and Markov Chains
Link	NOC:Randomized Algorithms	Lecture 19 - Electrical Networks
Link	NOC:Randomized Algorithms	Lecture 20 - Cover Time
Link	NOC:Randomized Algorithms	Lecture 21 - Rapid Mixing
Link	NOC:Randomized Algorithms	Lecture 22 - Introduction to Computational Complexity
Link	NOC:Randomized Algorithms	Lecture 23 - Pratt's Certificate
Link	NOC:Randomized Algorithms	Lecture 24 - Primality Testing
Link	NOC:Randomized Algorithms	Lecture 25 - Miller Rabin Algorithm
Link	NOC:Randomized Algorithms	Lecture 26 - All pair shortest path - I
Link	NOC:Randomized Algorithms	Lecture 27 - All pair shortest path - II
Link	NOC:Randomized Algorithms	Lecture 28 - Randomized MST
Link	NOC:Randomized Algorithms	Lecture 29 - Introduction to approximate counting
Link	NOC:Randomized Algorithms	Lecture 30 - DNF counting
Link	NOC:Randomized Algorithms	Lecture 31 - Perfect Matching - I
Link	NOC:Randomized Algorithms	Lecture 32 - Perfect Matching - II
Link	NOC:Randomized Algorithms	Lecture 33 - Perfect Matching - III
Link	NOC:Randomized Algorithms	Lecture 34 - Treaps
Link	NOC:Randomized Algorithms	Lecture 35 - Hashing
Link	NOC:Randomized Algorithms	Lecture 36 - Probabilistically checkable proofs - I
Link	NOC:Randomized Algorithms	Lecture 37 - Probabilistically checkable proofs - II
Link	NOC:Randomized Algorithms	Lecture 38 - Probabilistically checkable proofs - III
Link	NOC:Randomized Algorithms	Lecture 39 - LFKN Protocol
Link	NOC:Randomized Algorithms	Lecture 40 - summary
Link	NOC:Parallel Algorithms	Lecture 1 - Shared Memory Models - 1
Link	NOC:Parallel Algorithms	Lecture 2 - Shared Memory Models - 2
Link	NOC:Parallel Algorithms	Lecture 3 - Interconnection Networks
Link	NOC:Parallel Algorithms	Lecture 4 - Cost and Optimality
Link	NOC:Parallel Algorithms	Lecture 5 - Basic Techniques - 1
Link	NOC:Parallel Algorithms	Lecture 6 - Basic Techniques - 2
Link	NOC:Parallel Algorithms	Lecture 7 - Basic Techniques - 3
Link	NOC:Parallel Algorithms	Lecture 8 - Basic Techniques - 4
Link	NOC:Parallel Algorithms	Lecture 9 - Basic Techniques - 5
Link	NOC:Parallel Algorithms	Lecture 10 - Odd Even Merge Sort (OEMS)
Link	NOC:Parallel Algorithms	Lecture 11 - OEMS, Bitonic-Sort-Merge Sort (BSMS)
Link	NOC:Parallel Algorithms	Lecture 12 - BSMS, Optimal List Colouring
Link	NOC:Parallel Algorithms	Lecture 13 - Description
Link	NOC:Parallel Algorithms	Lecture 14 - Analysis
Link	NOC:Parallel Algorithms	Lecture 15 - Applications
Link	NOC:Parallel Algorithms	Lecture 16 - Applications
Link	NOC:Parallel Algorithms	Lecture 17 - Fast optimal merge algorithm
Link	NOC:Parallel Algorithms	Lecture 18 - High level Description
Link	NOC:Parallel Algorithms	Lecture 19 - Cole's Merge Sort: Details
Link	NOC:Parallel Algorithms	Lecture 20 - Analysis of Cole's Merge Sort; Lower bound for sorting
Link	NOC:Parallel Algorithms	Lecture 21 - Sorting Lower bound; Connected Components
Link	NOC:Parallel Algorithms	Lecture 22 - Connected Components (CREW)
Link	NOC:Parallel Algorithms	Lecture 23 - Connected Components, Vertex Colouring
Link	NOC:Parallel Algorithms	Lecture 24 - Sorting on a 2D mesh
Link	NOC:Parallel Algorithms	Lecture 25 - Sorting on a 2D mesh
Link	NOC:Parallel Algorithms	Lecture 26 - Sorting, Offline routing on a 2D mesh
Link	NOC:Parallel Algorithms	Lecture 27 - Sorting on a 3D mesh
Link	NOC:Parallel Algorithms	Lecture 28 - Mesh of Trees, Hypercube
Link	NOC:Parallel Algorithms	Lecture 29 - Hypercube (Continued...)
Link	NOC:Parallel Algorithms	Lecture 30 - Hypercube (Continued...), butterfly network
Link	NOC:Parallel Algorithms	Lecture 31 - Butterfly, CCC and Benes Networks
Link	NOC:Parallel Algorithms	Lecture 32 - Butterfly, CCC and Benes Networks
Link	NOC:Parallel Algorithms	Lecture 33 - Shuffle Exchange Graphs, de Bruijn Graphs
Link	NOC:Parallel Algorithms	Lecture 34 - Shuffle Exchange Graphs, de Bruijn Graphs (Continued...)
Link	NOC:Parallel Algorithms	Lecture 35 - Circuit Value Problem is P-complete for NC-reductions
Link	NOC:Parallel Algorithms	Lecture 36 - Ordered DFS is P-complete for NC-reductions
Link	NOC:Parallel Algorithms	Lecture 37 - Max Flow is P-complete for NC-reductions
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 1 - Boolean Functions
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 2 - Propositional Calculus: Introduction
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 3 - First Order Logic: Introduction
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 4 - First Order Logic: Introduction (Continued...)
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 5 - Proof System for Propcal
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 6 - First Order Logic: wffs, interpretations, models
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 7 - Soundness and Completeness of the First Order Proof System
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 8 - Sets, Relations, Functions
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 9 - Functions, Embedding of the theories of naturals numbers and integers in Set Theory
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 10 - Embedding of the theories of integers and rational numbers in Set Theory; Countable Sets
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 11 - Introduction to graph theory
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 12 - Trees, Cycles, Graph coloring
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 13 - Bipartitie Graphs
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 14 - Bipartitie Graphs; Edge Coloring and Matching
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 15 - Planar Graphs
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 16 - Graph Searching; BFS and DFS
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 17 - Network Flows
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 18 - Counting Spanning Trees in Complete Graphs
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 19 - Embedding of the theory of ral numbers in Set Theory; Paradoxes
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 20 - ZF Axiomatization of Set Theory
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 21 - Partially ordering relations
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 22 - Natural numbers, divisors
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 23 - Lattices
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 24 - GCD, Euclid's Algorithm
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 25 - Prime Numbers
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 26 - Congruences
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 27 - Pigeon Hole Principle
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 28 - Stirling Numbers, Bell Numbers
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 29 - Generating Functions
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 30 - Product of Generating Functions
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 31 - Composition of Generating Function
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 32 - Principle of Inclusion Exclusion
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 33 - Rook placement problem
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 34 - Solution of Congruences
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 35 - Chinese Remainder Theorem
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 36 - Totient; Congruences; Floor and Ceiling Functions
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 37 - Introduction to Groups
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 38 - Modular Arithmetic and Groups
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 39 - Dihedral Groups, Isomorhphisms
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 40 - Cyclic groups, Direct Products, Subgroups
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 41 - Cosets, Lagrange's theorem
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 42 - Rings and Fields
Link	NOC:Discrete Mathematics (Prof. Sajith Gopalan)	Lecture 43 - Construction of Finite Fields
Link	NOC:Advanced Computer Architecture	Lecture 1 - Review of Basic Computer Organization
Link	NOC:Advanced Computer Architecture	Lecture 2 - Perfomance Evaluation Methods
Link	NOC:Advanced Computer Architecture	Lecture 3 - Introduction to RISC Instruction Pipeline
Link	NOC:Advanced Computer Architecture	Lecture 4 - Instruction Pipeline and Performance
Link	NOC:Advanced Computer Architecture	Lecture 5 - Pipeline Hazards
Link	NOC:Advanced Computer Architecture	Lecture 6 - Control Hazards and Branch Prediction
Link	NOC:Advanced Computer Architecture	Lecture 7 - MIPS Pipeline for Multi-Cycle Operations
Link	NOC:Advanced Computer Architecture	Lecture 8 - Tutorial 2 : Pipeline Hazard Analysis
Link	NOC:Advanced Computer Architecture	Lecture 9 - Compiler Techniques to Explore ILP
Link	NOC:Advanced Computer Architecture	Lecture 10 - Dynamic Scheduling to Explore ILP
Link	NOC:Advanced Computer Architecture	Lecture 11 - Dynamic Scheduling with Tomasulo’s Algorithm
Link	NOC:Advanced Computer Architecture	Lecture 12 - Dynamic Scheduling with Speculative Execution
Link	NOC:Advanced Computer Architecture	Lecture 13 - Tutorial 3 : Static and Dynamic Scheduling
Link	NOC:Advanced Computer Architecture	Lecture 14 - Advanced Pipelining and Superscalar Processors
Link	NOC:Advanced Computer Architecture	Lecture 15 - Exploiting DLP: Vector and GPU Architectures
Link	NOC:Advanced Computer Architecture	Lecture 16 - Tutorial 4 : Architectural Simulation using gem5
Link	NOC:Advanced Computer Architecture	Lecture 17 - Tutorial 5 : Core Optimization in gem5
Link	NOC:Advanced Computer Architecture	Lecture 18 - Introduction to Cache Memory
Link	NOC:Advanced Computer Architecture	Lecture 19 - Block Replacement Techniques and Write Strategy
Link	NOC:Advanced Computer Architecture	Lecture 20 - Tutorial 6 : Design Concepts in Cache Memory
Link	NOC:Advanced Computer Architecture	Lecture 21 - Optimization Techniques in Cache Memory
Link	NOC:Advanced Computer Architecture	Lecture 22 - Advanced Cache Optimization Techniques
Link	NOC:Advanced Computer Architecture	Lecture 23 - Tutorial 7 : Optimization Techniques in Cache Memory
Link	NOC:Advanced Computer Architecture	Lecture 24 - Tutorial 8 : Cache Optimization in gem5
Link	NOC:Advanced Computer Architecture	Lecture 25 - Introduction to DRAM System
Link	NOC:Advanced Computer Architecture	Lecture 26 - DRAM Controllers and Address Mapping
Link	NOC:Advanced Computer Architecture	Lecture 27 - Secondary Storage Systems
Link	NOC:Advanced Computer Architecture	Lecture 28 - Tutorial 9 : Design Concepts in DRAM and Harddisk
Link	NOC:Advanced Computer Architecture	Lecture 29 - Tiled Chip Multicore Processors
Link	NOC:Advanced Computer Architecture	Lecture 30 - Routing Techniques in Network on Chip
Link	NOC:Advanced Computer Architecture	Lecture 31 - NoC Router Microarchitecture
Link	NOC:Advanced Computer Architecture	Lecture 32 - How to Explore Computer Architecture?
Link	NOC:Advanced Computer Architecture	Lecture 33 - Tutorial 10 : TCMP and NoC Design Principles
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 1 - Introduction to UCC and history
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 2 - Issues and challenges
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 3 - Latest research trends
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 4 - User-Centric Design and Software Engineering
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 5 - Components of SDLC - Contextual Inquiry
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 6 - Components of SDLC - Design Guidelines
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 7 - Components of SDLC - Prototyping
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 8 - Case study (web site design)
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 9 - Introduction to User-Centric Computing
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 10 - The UCC framework with illustrative case study
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 11 - User-centric models - introduction and descriptive models
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 12 - User-centric models - predictive models and taxonomy
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 13 - Introduction to GOMS family of models
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 14 - Keystroke-Level Model (KLM)
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 15 - (CMN)GOMS Model
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 16 - The Fitts' Law
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 17 - The Hick-Hyman Law
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 18 - 2D and 3D pointing models
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 19 - The Steering Law for constrained navigation
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 20 - Model for hierarchical menu selection
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 21 - Mobile typing models (single finger and two thumb typing)
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 22 - Model for touch performance (FFitts' law)
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 23 - Introduction to formal models in UCD
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 24 - Formal modeling of user-computer dialogue
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 25 - Case studies on the use of models
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 26 - Introduction and research question formulation
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 27 - Variables determination and experiment design
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 28 - Data analysis including model building
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 29 - Introduction to user-centric design evaluation and expert evaluation technique
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 30 - User evaluation, empirical and model-based evaluation
Link	NOC:User-centric Computing for Human-Computer Interaction	Lecture 31 - Concluding remarks
Link	NOC:Computer Graphics	Lecture 1 - Introduction to graphics
Link	NOC:Computer Graphics	Lecture 2 - Historical evolution, issues and challenges
Link	NOC:Computer Graphics	Lecture 3 - Basics of a graphics system
Link	NOC:Computer Graphics	Lecture 4 - Introduction to 3D graphics pipeline
Link	NOC:Computer Graphics	Lecture 5 - Introduction and overview on object representation techniques
Link	NOC:Computer Graphics	Lecture 6 - Various Boundary Representation Techniques
Link	NOC:Computer Graphics	Lecture 7 - Spline representation - I
Link	NOC:Computer Graphics	Lecture 8 - Spline representation - II
Link	NOC:Computer Graphics	Lecture 9 - Space representation methods
Link	NOC:Computer Graphics	Lecture 10 - Introduction to modeling transformations
Link	NOC:Computer Graphics	Lecture 11 - Matrix representation and composition of transformations
Link	NOC:Computer Graphics	Lecture 12 - Transformations in 3D
Link	NOC:Computer Graphics	Lecture 13 - Color computation - basic idea
Link	NOC:Computer Graphics	Lecture 14 - Simple lighting model
Link	NOC:Computer Graphics	Lecture 15 - Shading models
Link	NOC:Computer Graphics	Lecture 16 - Intensity mapping
Link	NOC:Computer Graphics	Lecture 17 - Color models and texture synthesis
Link	NOC:Computer Graphics	Lecture 18 - View transformation
Link	NOC:Computer Graphics	Lecture 19 - Projection transformation
Link	NOC:Computer Graphics	Lecture 20 - Windows-to-viewport transformation
Link	NOC:Computer Graphics	Lecture 21 - Clipping introduction and 2D point and line clipping
Link	NOC:Computer Graphics	Lecture 22 - 2D fill-area clipping and 3D clipping
Link	NOC:Computer Graphics	Lecture 23 - Hidden surface removal - I
Link	NOC:Computer Graphics	Lecture 24 - Hidden surface removal - II
Link	NOC:Computer Graphics	Lecture 25 - Scan conversion of basic shapes - I
Link	NOC:Computer Graphics	Lecture 26 - Scan conversion of basic shapes - II
Link	NOC:Computer Graphics	Lecture 27 - Fill area and character scan conversion
Link	NOC:Computer Graphics	Lecture 28 - Anti-aliasing techniques
Link	NOC:Computer Graphics	Lecture 29 - Graphics I/O Devices
Link	NOC:Computer Graphics	Lecture 30 - Introduction to GPU and Shaders
Link	NOC:Computer Graphics	Lecture 31 - Programming with OpenGL
Link	NOC:Computer Graphics	Lecture 32 - Concluding remarks
Link	NOC:C-Based VLSI Design	Lecture 1 - Introduction to C-Based VLSI Design
Link	NOC:C-Based VLSI Design	Lecture 2 - C-based VLSI Design: An Overview
Link	NOC:C-Based VLSI Design	Lecture 3 - C-based VLSI Design: Problem Formulation
Link	NOC:C-Based VLSI Design	Lecture 4 - C-based VLSI Design: Course Plan
Link	NOC:C-Based VLSI Design	Lecture 5 - Introduction to Scheduling
Link	NOC:C-Based VLSI Design	Lecture 6 - ILP formulation of Scheduling
Link	NOC:C-Based VLSI Design	Lecture 7 - ILP formulation of MRLC and MLRC Scheduling
Link	NOC:C-Based VLSI Design	Lecture 8 - Multiprocessor Scheduling
Link	NOC:C-Based VLSI Design	Lecture 9 - Hu’s algorithm for Multiprocessor Scheduling
Link	NOC:C-Based VLSI Design	Lecture 10 - List based Scheduling of MLRC
Link	NOC:C-Based VLSI Design	Lecture 11 - List based Scheduling of MRLC
Link	NOC:C-Based VLSI Design	Lecture 12 - Forced Directed Scheduling
Link	NOC:C-Based VLSI Design	Lecture 13 - Forced Directed MLRC and MRLC Scheduling Algorithm
Link	NOC:C-Based VLSI Design	Lecture 14 - Path Based Scheduling
Link	NOC:C-Based VLSI Design	Lecture 15 - Path Based Scheduling
Link	NOC:C-Based VLSI Design	Lecture 16 - Allocation and Binding Problem Formulation
Link	NOC:C-Based VLSI Design	Lecture 17 - Left Edge Algorithm
Link	NOC:C-Based VLSI Design	Lecture 18 - ILP Formulation of Allocation and Binding
Link	NOC:C-Based VLSI Design	Lecture 19 - Allocation and Binding for Hierarchical Graph
Link	NOC:C-Based VLSI Design	Lecture 20 - Register Allocation and Binding
Link	NOC:C-Based VLSI Design	Lecture 21 - Multi-port Binding Problem
Link	NOC:C-Based VLSI Design	Lecture 22 - Datapath and Controller Synthesis
Link	NOC:C-Based VLSI Design	Lecture 23 - HLS for Arrays
Link	NOC:C-Based VLSI Design	Lecture 24 - HLS for Loops
Link	NOC:C-Based VLSI Design	Lecture 25 - HLS for Loop - pipeline
Link	NOC:C-Based VLSI Design	Lecture 26 - Hardware Efficient C Coding - Part I
Link	NOC:C-Based VLSI Design	Lecture 27 - Hardware Efficient C Coding - Part II
Link	NOC:C-Based VLSI Design	Lecture 28 - Dataflow Optimization in HLS
Link	NOC:C-Based VLSI Design	Lecture 29 - Frontend Optimizations in C
Link	NOC:C-Based VLSI Design	Lecture 30 - HLS Optimizations: Case Study 1
Link	NOC:C-Based VLSI Design	Lecture 31 - HLS Optimizations: Case Study 1
Link	NOC:C-Based VLSI Design	Lecture 32 - Simulation based Verification
Link	NOC:C-Based VLSI Design	Lecture 33 - RTL to C Reverse Engineering
Link	NOC:C-Based VLSI Design	Lecture 34 - Phase-wise Verification of HLS
Link	NOC:C-Based VLSI Design	Lecture 35 - Equivalence between C and RTL
Link	NOC:C-Based VLSI Design	Lecture 36 - Introduction to Hardware Security
Link	NOC:C-Based VLSI Design	Lecture 37 - HLS for Security
Link	NOC:C-Based VLSI Design	Lecture 38 - Attacks on RTL Logic locking
Link	NOC:C-Based VLSI Design	Lecture 39 - Introduction to Logic Synthesis
Link	NOC:C-Based VLSI Design	Lecture 40 - FPGA Technology Mapping
Link	NOC:C-Based VLSI Design	Lecture 41 - Introduction to Physical Synthesis
Link	NOC:C-Based VLSI Design	Lecture 42 - Introduction to Circuit optimizations
Link	NOC:C-Based VLSI Design	Lecture 43 - Recent Advances in C-Based VLSI Design
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 1 - Interactive Systems
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 2 - Introduction to Usability
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 3 - Engineering for Usability
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 4 - Interactive System Life Cycle
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 5 - Usability Requirements
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 6 - Contexual Inquiry
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 7 - Functional Requirements Specification
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 8 - Case Study on SRS
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 9 - Case Study (Usability Requirement Gathering)
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 10 - Case Study (Other Requirement Gathering)
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 11 - Case Study - Non-Functional Requirements to SRS
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 12 - Introduction to Interface Design
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 13 - Shneiderman's Golden Rules
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 14 - Norman's Principles
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 15 - Prototyping
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 16 - Prototype Evaluation - I
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 17 - Prototype Evaluation - II
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 18 - Case Study on Prototype Evaluation - I
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 19 - Case Study on Prototype Evaluation - II
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 20 - Basics of System Design
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 21 - Data Flow Diagram
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 22 - Entity Relationship Diagram
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 23 - Case Study on DFD and ER
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 24 - Introduction to Object Oriented Design
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 25 - UML
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 26 - UML Case Study
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 27 - Coding Basics
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 28 - Code Testing Basics
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 29 - Review-Based Code Testing
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 30 - Code Review Case Study
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 31 - Black-Box Testing - I
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 32 - Black-Box Testing - II
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 33 - Black-Box Testing Case Study
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 34 - White-Box Testing
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 35 - White-Box Testing Case Study
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 36 - System Integration and Testing
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 37 - Empirical Usability Evaluation - I
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 38 - Empirical Usability Evaluation - II
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 39 - Experiment Design - I
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 40 - Experiment Design - II
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 41 - Empirical Data Analysis
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 42 - Project Management
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 43 - Note on Agile Development
Link	NOC:Design and Implementation of Human-Computer Interfaces	Lecture 44 - Concluding Remarks
Link	NOC:Digital Design with Verilog	Lecture 1 - Introduction to Digital Design with Verilog
Link	NOC:Digital Design with Verilog	Lecture 2 - Switching Algebra
Link	NOC:Digital Design with Verilog	Lecture 3 - Canonical Forms of Switching Functions
Link	NOC:Digital Design with Verilog	Lecture 4 - Number Systems
Link	NOC:Digital Design with Verilog	Lecture 5 - Binary Arithmetic
Link	NOC:Digital Design with Verilog	Lecture 6 - Binary Codes
Link	NOC:Digital Design with Verilog	Lecture 7 - Error Detection and Corrections Codes
Link	NOC:Digital Design with Verilog	Lecture 8 - Minimization of Switching functions-Karnaugh Map
Link	NOC:Digital Design with Verilog	Lecture 9 - Karnaugh Map
Link	NOC:Digital Design with Verilog	Lecture 10 - Minimization of Switching functions-Properties
Link	NOC:Digital Design with Verilog	Lecture 11 - Quine-McCluskey Method
Link	NOC:Digital Design with Verilog	Lecture 12 - Quine-McCluskey Method-Prime Implication Chart
Link	NOC:Digital Design with Verilog	Lecture 13 - ESPRESSO-Heuristic Based Switching Function Minimization
Link	NOC:Digital Design with Verilog	Lecture 14 - Multi-level Logic Minimization
Link	NOC:Digital Design with Verilog	Lecture 15 - Multi-level Logic Minimization-Kernels Extraction
Link	NOC:Digital Design with Verilog	Lecture 16 - Digital Circuits Modelling using Verilog
Link	NOC:Digital Design with Verilog	Lecture 17 - Modelling Techniques in Verilog
Link	NOC:Digital Design with Verilog	Lecture 18 - Behavioral Modelling in Verilog
Link	NOC:Digital Design with Verilog	Lecture 19 - Digital System Design using Verilog
Link	NOC:Digital Design with Verilog	Lecture 20 - Testbench in Verilog
Link	NOC:Digital Design with Verilog	Lecture 21 - Code Conversion, Parity Bit Generator
Link	NOC:Digital Design with Verilog	Lecture 22 - Comparator, Multiplexer
Link	NOC:Digital Design with Verilog	Lecture 23 - Encoder, Decoder
Link	NOC:Digital Design with Verilog	Lecture 24 - Ripple Carry Adder, Carry Look ahead Adder
Link	NOC:Digital Design with Verilog	Lecture 25 - Adder/Subtractor
Link	NOC:Digital Design with Verilog	Lecture 26 - BCD Adder, Multiplier
Link	NOC:Digital Design with Verilog	Lecture 27 - Latch/Storage Design
Link	NOC:Digital Design with Verilog	Lecture 28 - Flipflop Design, Characteristics of Flipflop
Link	NOC:Digital Design with Verilog	Lecture 29 - Flipflop, Register and Memory
Link	NOC:Digital Design with Verilog	Lecture 30 - Digital Counter
Link	NOC:Digital Design with Verilog	Lecture 31 - Finite State Machine Design and Implementation with many Examples
Link	NOC:Digital Design with Verilog	Lecture 32 - FSM Completeness and Correctness
Link	NOC:Digital Design with Verilog	Lecture 33 - Sync Counter using FSM, Implementation using different FFs and Comparision of types of FSM
Link	NOC:Digital Design with Verilog	Lecture 34 - FSM State Optimization using Row Matching and Partitioning Methods
Link	NOC:Digital Design with Verilog	Lecture 35 - State Optimization using Implication chart and State Encoding
Link	NOC:Digital Design with Verilog	Lecture 36 - RTL Design, Introduction to ASM (Algorithmic State Machine)
Link	NOC:Digital Design with Verilog	Lecture 37 - RTL/ASM Design Examples and Implementation
Link	NOC:Digital Design with Verilog	Lecture 38 - ASM Data Path Inference and Control Path Generation
Link	NOC:Digital Design with Verilog	Lecture 39 - Sequential Multplier the Classic Example of RTL Design
Link	NOC:Digital Design with Verilog	Lecture 40 - Introduction to FPGA and Design Flow
Link	NOC:Digital Design with Verilog	Lecture 41 - Introduction to Electronic Design Automation
Link	NOC:Parallel Computer Architecture	Lecture 1 - Why do we need parallel architecture ?
Link	NOC:Parallel Computer Architecture	Lecture 2 - Multicore Revolution
Link	NOC:Parallel Computer Architecture	Lecture 3 - What is Parallel Architecture?
Link	NOC:Parallel Computer Architecture	Lecture 4 - Performance and Benchmarking
Link	NOC:Parallel Computer Architecture	Lecture 5 - Reporting Results
Link	NOC:Parallel Computer Architecture	Lecture 6 - Some Laws
Link	NOC:Parallel Computer Architecture	Lecture 7 - A shift from sequential to parallel
Link	NOC:Parallel Computer Architecture	Lecture 8 - Programming Models
Link	NOC:Parallel Computer Architecture	Lecture 9 - Shared Memory Paradigm
Link	NOC:Parallel Computer Architecture	Lecture 10 - Message Passing Paradigm
Link	NOC:Parallel Computer Architecture	Lecture 11 - Examples
Link	NOC:Parallel Computer Architecture	Lecture 12 - Cache Basics
Link	NOC:Parallel Computer Architecture	Lecture 13 - Memory hierarchy questions - 1
Link	NOC:Parallel Computer Architecture	Lecture 14 - Memory hierarchy questions - 2
Link	NOC:Parallel Computer Architecture	Lecture 15 - Six basic cache optimisations - 1
Link	NOC:Parallel Computer Architecture	Lecture 16 - Six basic cache optimisations - 2
Link	NOC:Parallel Computer Architecture	Lecture 17 - Virtual Memory - 1
Link	NOC:Parallel Computer Architecture	Lecture 18 - Virtual Memory - 2
Link	NOC:Parallel Computer Architecture	Lecture 19 - Cache Coherence Problem
Link	NOC:Parallel Computer Architecture	Lecture 20 - Concept of Serialisation
Link	NOC:Parallel Computer Architecture	Lecture 21 - Coherence related Conditions
Link	NOC:Parallel Computer Architecture	Lecture 22 - Types of Coherence Protocols - 1
Link	NOC:Parallel Computer Architecture	Lecture 23 - Types of Coherence Protocols - 2
Link	NOC:Parallel Computer Architecture	Lecture 24 - VI Protocol
Link	NOC:Parallel Computer Architecture	Lecture 25 - 3 State: MSI Protocol
Link	NOC:Parallel Computer Architecture	Lecture 26 - MESI Protocol
Link	NOC:Parallel Computer Architecture	Lecture 27 - Dragon Protocol
Link	NOC:Parallel Computer Architecture	Lecture 28 - Coherence misses
Link	NOC:Parallel Computer Architecture	Lecture 29 - Coherence misses example
Link	NOC:Parallel Computer Architecture	Lecture 30 - Correctness Requirements
Link	NOC:Parallel Computer Architecture	Lecture 31 - Single-Level caches with an Atomic Bus - 1
Link	NOC:Parallel Computer Architecture	Lecture 32 - Single-Level caches with an Atomic Bus - 2
Link	NOC:Parallel Computer Architecture	Lecture 33 - Multi-Level caches with an Atomic Bus - 1
Link	NOC:Parallel Computer Architecture	Lecture 34 - Multi-Level caches with an Atomic Bus - 2
Link	NOC:Parallel Computer Architecture	Lecture 35 - Split transaction Bus
Link	NOC:Parallel Computer Architecture	Lecture 36 - Phases in Split Transaction Bus
Link	NOC:Parallel Computer Architecture	Lecture 37 - Request table and Organization
Link	NOC:Parallel Computer Architecture	Lecture 38 - Path of a Cache Miss
Link	NOC:Parallel Computer Architecture	Lecture 39 - Multi-Level cache + Split transaction Bus
Link	NOC:Parallel Computer Architecture	Lecture 40 - Introduction to Directory Cache Coherence
Link	NOC:Parallel Computer Architecture	Lecture 41 - Basic Operation of a Directory
Link	NOC:Parallel Computer Architecture	Lecture 42 - Directory Organisations
Link	NOC:Parallel Computer Architecture	Lecture 43 - Directory Overhead Optimisations
Link	NOC:Parallel Computer Architecture	Lecture 44 - Directory Protocol optimisations
Link	NOC:Parallel Computer Architecture	Lecture 45 - Proving Correctness - 1
Link	NOC:Parallel Computer Architecture	Lecture 46 - Proving Correctness - 2
Link	NOC:Parallel Computer Architecture	Lecture 47 - SGI Origin Architecture
Link	NOC:Parallel Computer Architecture	Lecture 48 - Working of protocol
Link	NOC:Parallel Computer Architecture	Lecture 49 - Correctness Issues
Link	NOC:Parallel Computer Architecture	Lecture 50 - Sequent NUMA-Q Architecture
Link	NOC:Parallel Computer Architecture	Lecture 51 - Working of protocol - 1
Link	NOC:Parallel Computer Architecture	Lecture 52 - Working of protocol - 2
Link	NOC:Parallel Computer Architecture	Lecture 53 - Correctness and Protocol Interaction
Link	NOC:Parallel Computer Architecture	Lecture 54 - Sequential Consistency
Link	NOC:Parallel Computer Architecture	Lecture 55 - Implications of Sequential Consistency
Link	NOC:Parallel Computer Architecture	Lecture 56 - Relaxed Consistency Models - 1
Link	NOC:Parallel Computer Architecture	Lecture 57 - Relaxed Consistency Models - 2
Link	NOC:Parallel Computer Architecture	Lecture 58 - Relaxing all Orders
Link	NOC:Parallel Computer Architecture	Lecture 59 - Uninterruptible Instructions
Link	NOC:Parallel Computer Architecture	Lecture 60 - Implementation of atomic instructions
Link	NOC:Parallel Computer Architecture	Lecture 61 - Other synchronisation options
Link	NOC:Parallel Computer Architecture	Lecture 62 - Interconnect Overview
Link	NOC:Parallel Computer Architecture	Lecture 63 - Topologies
Link	NOC:Parallel Computer Architecture	Lecture 64 - Routing
Link	NOC:Parallel Computer Architecture	Lecture 65 - Flow Control
Link	Computer Algorithms - 2	Lecture 1 - Graph_Basics
Link	Computer Algorithms - 2	Lecture 2 - Breadth_First_Search
Link	Computer Algorithms - 2	Lecture 3 - Dijkstra_Algo
Link	Computer Algorithms - 2	Lecture 4 - All Pair Shortest Path
Link	Computer Algorithms - 2	Lecture 5 - Matriods
Link	Computer Algorithms - 2	Lecture 6 - Minimum Spanning Tree
Link	Computer Algorithms - 2	Lecture 7 - Edmond's Matching Algo I
Link	Computer Algorithms - 2	Lecture 8 - Edmond's Matching Algo II
Link	Computer Algorithms - 2	Lecture 9 - Flow Networks
Link	Computer Algorithms - 2	Lecture 10 - Ford Fulkerson Method
Link	Computer Algorithms - 2	Lecture 11 - Edmond Karp Algo
Link	Computer Algorithms - 2	Lecture 12 - Matrix Inversion
Link	Computer Algorithms - 2	Lecture 13 - Matrix Decomposition
Link	Computer Algorithms - 2	Lecture 14 - Knuth Morris Pratt Algo
Link	Computer Algorithms - 2	Lecture 15 - Rabin Karp Algo
Link	Computer Algorithms - 2	Lecture 16 - NFA Simulation
Link	Computer Algorithms - 2	Lecture 17 - Integer-Polynomial Ops-I
Link	Computer Algorithms - 2	Lecture 18 - Integer-Polynomial Ops-II
Link	Computer Algorithms - 2	Lecture 19 - Integer-Polynomial Ops-III
Link	Computer Algorithms - 2	Lecture 20 - Chinese Remainder-I
Link	Computer Algorithms - 2	Lecture 21 - Chinese Remainder-II
Link	Computer Algorithms - 2	Lecture 22 - Chinese Remainder-III
Link	Computer Algorithms - 2	Lecture 23 - Discrete Fourier Transform-I
Link	Computer Algorithms - 2	Lecture 24 - Discrete Fourier Transform-II
Link	Computer Algorithms - 2	Lecture 25 - Discrete Fourier Transform-III
Link	Computer Algorithms - 2	Lecture 26 - Schonhage Strassen Algo
Link	Computer Algorithms - 2	Lecture 27 - Linear Programming-I
Link	Computer Algorithms - 2	Lecture 28 - Linear Programming-II
Link	Computer Algorithms - 2	Lecture 29 - Geometry-I
Link	Computer Algorithms - 2	Lecture 30 - Geometry-II
Link	Computer Algorithms - 2	Lecture 31 - Geometry-III
Link	Computer Algorithms - 2	Lecture 32 - Approximation Algo-I
Link	Computer Algorithms - 2	Lecture 33 - Approximation Algo-II
Link	Computer Algorithms - 2	Lecture 34 - Approximation Algo-III
Link	Computer Algorithms - 2	Lecture 35 - General: Dynamic Programming
Link	Theory of Computation	Lecture 1 - What is theory of computation? Set membership problem, basic notions like alphabet, strings, formal languages
Link	Theory of Computation	Lecture 2 - Introduction to finite automaton
Link	Theory of Computation	Lecture 3 - Finite automata continued, deterministic finite automata(DFAs), language accepted by a DFA
Link	Theory of Computation	Lecture 4 - Regular languages, their closure properties
Link	Theory of Computation	Lecture 5 - DFAs solve set membership problems in linear time, pumping lemma
Link	Theory of Computation	Lecture 6 - More examples of nonregular languages, proof of pumping lemma, pumping lemma as a game, converse of pumping lemma does not hold
Link	Theory of Computation	Lecture 7 - A generalization of pumping lemma, nondeterministic finite automata (NFAs), computation trees for NFAs
Link	Theory of Computation	Lecture 8 - Formal description of NFA, language accepted by NFA, such languages are also regular
Link	Theory of Computation	Lecture 9 - 'Guess and verify' paradigm for nondeterminism
Link	Theory of Computation	Lecture 10 - NFA's with epsilon transitions
Link	Theory of Computation	Lecture 11 - Regular expressions, they denote regular languages
Link	Theory of Computation	Lecture 12 - Construction of a regular expression for a language given a DFA accepting it. Algebraic closure properies of regular languages
Link	Theory of Computation	Lecture 13 - Closure properties (Continued...)
Link	Theory of Computation	Lecture 14 - Closure under reversal, use of closure properties
Link	Theory of Computation	Lecture 15 - Decision problems for regular languages
Link	Theory of Computation	Lecture 16 - About minimization of states of DFAs. Myhill-Nerode theorem
Link	Theory of Computation	Lecture 17 - Continuation of proof of Myhill-Nerode theorem
Link	Theory of Computation	Lecture 18 - Application of Myhill-Nerode theorem. DFA minimization
Link	Theory of Computation	Lecture 19 - DFA minimization (Continued...)
Link	Theory of Computation	Lecture 20 - Introduction to context free languages (cfls) and context free grammars (cfgs). Derivation of strings by cfgs
Link	Theory of Computation	Lecture 21 - Languages generated by a cfg, leftmost derivation, more examples of cfgs and cfls
Link	Theory of Computation	Lecture 22 - Parse trees, inductive proof that L is L(G). All regular languages are context free
Link	Theory of Computation	Lecture 23 - Towards Chomsky normal forms: elimination of useless symbols, analysis of reachable symbols, generating nonterminals, order of substeps matter
Link	Theory of Computation	Lecture 24 - Simplification of cfgs continued, Removal of epsilon productions: algorithm and its correctness
Link	Theory of Computation	Lecture 25 - Elimination of unit productions. Converting a cfg into Chomsky normal form. Towards pumping lemma for cfls
Link	Theory of Computation	Lecture 26 - Pumping lemma for cfls. Adversarial paradigm
Link	Theory of Computation	Lecture 27 - Completion of pumping lemma proof. Examples of use of pumping lemma. Converse of lemma does not hold. Closure properties of cfls
Link	Theory of Computation	Lecture 28 - Closure properties continued. cfls not closed under complementation
Link	Theory of Computation	Lecture 29 - Another example of a cfl whose complement is not a cfl. Decision problems for cfls
Link	Theory of Computation	Lecture 30 - More decision problems. CYK algorithm for membership decision
Link	Theory of Computation	Lecture 31 - Introduction to pushdown automata (pda)
Link	Theory of Computation	Lecture 32 - pda configurations, acceptance notions for pdas. Transition diagrams for pdas
Link	Theory of Computation	Lecture 33 - Equivalence of acceptance by empty stack and acceptance by final state
Link	Theory of Computation	Lecture 34 - Turing machines (TM): motivation, informal definition, example, transition diagram
Link	Theory of Computation	Lecture 35 - Execution trace, another example (unary to binary conversion)
Link	Theory of Computation	Lecture 36 - Example continued. Finiteness of TM description, TM configuration, language acceptance, definition of recursively enumerable (r.e.) languages
Link	Theory of Computation	Lecture 37 - Notion of non-acceptance or rejection of a string by a TM. Multitrack TM, its equivalence to standard TM. Multitape TMs
Link	Theory of Computation	Lecture 38 - Simulation of multitape TMs by basic model. Nondeterministic TM (NDTM). Equivalence of NDTMs with deterministic TMs
Link	Theory of Computation	Lecture 39 - Counter machines and their equivalence to basic TM model
Link	Theory of Computation	Lecture 40 - TMs can simulate computers, diagonalization proof
Link	Theory of Computation	Lecture 41 - Existence of non-r.e. languages, recursive languages, notion of decidability
Link	Theory of Computation	Lecture 42 - Separation of recursive and r.e. classes, halting problem and its undecidability
Link	Introduction to Problem Solving and Programming	Lecture 1
Link	Introduction to Problem Solving and Programming	Lecture 2
Link	Introduction to Problem Solving and Programming	Lecture 3
Link	Introduction to Problem Solving and Programming	Lecture 4
Link	Introduction to Problem Solving and Programming	Lecture 5
Link	Introduction to Problem Solving and Programming	Lecture 6
Link	Introduction to Problem Solving and Programming	Lecture 7
Link	Introduction to Problem Solving and Programming	Lecture 8
Link	Introduction to Problem Solving and Programming	Lecture 9
Link	Introduction to Problem Solving and Programming	Lecture 10
Link	Introduction to Problem Solving and Programming	Lecture 11
Link	Introduction to Problem Solving and Programming	Lecture 12
Link	Introduction to Problem Solving and Programming	Lecture 13
Link	Introduction to Problem Solving and Programming	Lecture 14
Link	Introduction to Problem Solving and Programming	Lecture 15
Link	Introduction to Problem Solving and Programming	Lecture 16
Link	Introduction to Problem Solving and Programming	Lecture 17
Link	Introduction to Problem Solving and Programming	Lecture 18
Link	Introduction to Problem Solving and Programming	Lecture 19
Link	Introduction to Problem Solving and Programming	Lecture 20
Link	Introduction to Problem Solving and Programming	Lecture 21
Link	Introduction to Problem Solving and Programming	Lecture 22
Link	Introduction to Problem Solving and Programming	Lecture 23
Link	Introduction to Problem Solving and Programming	Lecture 24
Link	Riemann Hypothesis and its Applications	Lecture 1
Link	Riemann Hypothesis and its Applications	Lecture 2
Link	Riemann Hypothesis and its Applications	Lecture 3
Link	Riemann Hypothesis and its Applications	Lecture 4
Link	Riemann Hypothesis and its Applications	Lecture 5
Link	Riemann Hypothesis and its Applications	Lecture 6
Link	Riemann Hypothesis and its Applications	Lecture 7
Link	Riemann Hypothesis and its Applications	Lecture 8
Link	Riemann Hypothesis and its Applications	Lecture 9
Link	Riemann Hypothesis and its Applications	Lecture 10
Link	Riemann Hypothesis and its Applications	Lecture 11
Link	Riemann Hypothesis and its Applications	Lecture 12
Link	Riemann Hypothesis and its Applications	Lecture 13
Link	Riemann Hypothesis and its Applications	Lecture 14
Link	Riemann Hypothesis and its Applications	Lecture 15
Link	Riemann Hypothesis and its Applications	Lecture 16
Link	Riemann Hypothesis and its Applications	Lecture 17
Link	Riemann Hypothesis and its Applications	Lecture 18
Link	Riemann Hypothesis and its Applications	Lecture 19
Link	Riemann Hypothesis and its Applications	Lecture 20
Link	Riemann Hypothesis and its Applications	Lecture 21
Link	Riemann Hypothesis and its Applications	Lecture 22
Link	Riemann Hypothesis and its Applications	Lecture 23
Link	Riemann Hypothesis and its Applications	Lecture 24
Link	Riemann Hypothesis and its Applications	Lecture 25
Link	Riemann Hypothesis and its Applications	Lecture 26
Link	Riemann Hypothesis and its Applications	Lecture 27
Link	Riemann Hypothesis and its Applications	Lecture 28
Link	Riemann Hypothesis and its Applications	Lecture 29
Link	Riemann Hypothesis and its Applications	Lecture 30
Link	Biometrics	Lecture 1 - Biometrics
Link	Biometrics	Lecture 2 - Biometrics
Link	Biometrics	Lecture 3 - Biometrics
Link	Biometrics	Lecture 4 - Biometrics
Link	Biometrics	Lecture 5 - Biometrics
Link	Biometrics	Lecture 6 - Biometrics
Link	Biometrics	Lecture 7 - Biometrics
Link	Biometrics	Lecture 8 - Biometrics
Link	Biometrics	Lecture 9 - Biometrics
Link	Biometrics	Lecture 10 - Biometrics
Link	Biometrics	Lecture 11 - Biometrics
Link	Biometrics	Lecture 12 - Biometrics
Link	Biometrics	Lecture 13 - Biometrics
Link	Biometrics	Lecture 14 - Biometrics
Link	Biometrics	Lecture 15 - Biometrics
Link	Biometrics	Lecture 16 - Biometrics
Link	Biometrics	Lecture 17 - Biometrics
Link	Biometrics	Lecture 18 - Biometrics
Link	Biometrics	Lecture 19 - Biometrics
Link	Biometrics	Lecture 20 - Biometrics
Link	Biometrics	Lecture 21 - Biometrics
Link	Biometrics	Lecture 22 - Biometrics
Link	Biometrics	Lecture 23 - Biometrics
Link	Biometrics	Lecture 24 - Biometrics
Link	Biometrics	Lecture 25 - Biometrics
Link	Biometrics	Lecture 26 - Biometrics
Link	Parallel Algorithm	Lecture 1 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 2 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 3 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 4 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 5 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 6 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 7 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 8 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 9 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 10 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 11 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 12 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 13 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 14 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 15 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 16 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 17 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 18 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 19 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 20 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 21 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 22 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 23 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 24 - Parallel Algorithm
Link	Parallel Algorithm	Lecture 25 - Parallel Algorithm
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 1 - Introduction, Amdahl's law, CPI equation
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 2 - CPI equation, research practices, instruction set architecture
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 3 - Instruction set architecture
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 4 - Instruction set architecture
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 5 - Instruction set architecture, case study with MIPS-I
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 6 - Case study with MIPS-I
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 7 - Case study with MIPS-I
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 8 - Binary instrumentation for architectural studies: PIN
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 9 - Binary instrumentation for architectural studies: PIN
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 10 - Basic pipelining, branch prediction
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 11 - Basic pipelining, branch prediction
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 12 - Basic pipelining, branch prediction
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 13 - Basic pipelining, branch prediction
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 14 - Basic pipelining, branch prediction
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 15 - Basic pipelining, branch prediction
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 16 - Basic pipelining, branch prediction
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 17 - Basic pipelining, branch prediction
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 18 - Basic pipelining, branch prediction
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 19 - Basic pipelining, branch prediction
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 20 - Dynamic scheduling, speculative execution
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 21 - Dynamic scheduling, speculative execution
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 22 - Dynamic scheduling, speculative execution
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 23 - Dynamic scheduling, speculative execution
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 24 - Dynamic scheduling, speculative execution
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 25 - Virtual memory and caches
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 26 - Virtual memory and caches
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 27 - Virtual memory and caches
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 28 - Topics in memory system, DRAM and SRAM technology
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 29 - Topics in memory system, DRAM and SRAM technology
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 30 - Topics in memory system, DRAM and SRAM technology
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 31 - Case study: MIPS R10000
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 32 - Case study: MIPS R10000
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 33 - Case study: Alpha 21264
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 34 - Case study: Intel Pentium 4
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 35 - Input/Output
Link	Computer Architecture (Dr. Mainak Chaudhuri)	Lecture 36 - Simultaneous multithreading, multi-cores
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 1 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 2 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 3 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 4 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 5 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 6 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 7 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 8 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 9 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 10 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 11 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 12 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 13 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 14 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 15 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 16 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 17 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 18 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 19 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 20 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 21 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 22 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 23 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 24 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 25 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 26 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 27 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 28 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 29 - Compiler Design
Link	Compiler Design (Prof. Sanjeev K Aggarwal)	Lecture 30 - Compiler Design
Link	NOC : Introduction to programming in C	Lecture 1 - Intro - Process of programming
Link	NOC : Introduction to programming in C	Lecture 2 - Intro - GCD
Link	NOC : Introduction to programming in C	Lecture 3 - Intro - Programming cycle
Link	NOC : Introduction to programming in C	Lecture 4 - Intro - Tracing a simple program
Link	NOC : Introduction to programming in C	Lecture 5 - Intro - Variables
Link	NOC : Introduction to programming in C	Lecture 6 - Intro - Operators
Link	NOC : Introduction to programming in C	Lecture 7 - Loops - While
Link	NOC : Introduction to programming in C	Lecture 8 - Loops - While example
Link	NOC : Introduction to programming in C	Lecture 9 - Loops - While GCD example
Link	NOC : Introduction to programming in C	Lecture 10 - Loops - Longest 1
Link	NOC : Introduction to programming in C	Lecture 11 - Loops - Longest 2
Link	NOC : Introduction to programming in C	Lecture 12 - Loops - Longest 3
Link	NOC : Introduction to programming in C	Lecture 13 - Loops - Do-while
Link	NOC : Introduction to programming in C	Lecture 14 - Loops - Matrix using nested loops
Link	NOC : Introduction to programming in C	Lecture 15 - Loops - For
Link	NOC : Introduction to programming in C	Lecture 16 - Loops - Matrix using nested for loops
Link	NOC : Introduction to programming in C	Lecture 17 - Loops - Break statement
Link	NOC : Introduction to programming in C	Lecture 18 - Loops - Continue statement
Link	NOC : Introduction to programming in C	Lecture 19 - Loops - Continue statement example
Link	NOC : Introduction to programming in C	Lecture 20 - Data types in C
Link	NOC : Introduction to programming in C	Lecture 21 - ASCII code
Link	NOC : Introduction to programming in C	Lecture 22 - Operators Expressions Associativity
Link	NOC : Introduction to programming in C	Lecture 23 - Precedence of operators
Link	NOC : Introduction to programming in C	Lecture 24 - Expression evaluation
Link	NOC : Introduction to programming in C	Lecture 25 - Functions - Introduction
Link	NOC : Introduction to programming in C	Lecture 26 - Functions - How functions are executed
Link	NOC : Introduction to programming in C	Lecture 27 - Functions - Examples - 1
Link	NOC : Introduction to programming in C	Lecture 28 - Functions - Examples - 2
Link	NOC : Introduction to programming in C	Lecture 29 - Arrays in C
Link	NOC : Introduction to programming in C	Lecture 30 - Initializing arrays
Link	NOC : Introduction to programming in C	Lecture 31 - Initializing character arrays
Link	NOC : Introduction to programming in C	Lecture 32 - Pointers in C
Link	NOC : Introduction to programming in C	Lecture 33 - Pointer arithmetic
Link	NOC : Introduction to programming in C	Lecture 34 - Function with pointer arguments
Link	NOC : Introduction to programming in C	Lecture 35 - Example - copy a subarray
Link	NOC : Introduction to programming in C	Lecture 36 - Programming using arrays and pointers
Link	NOC : Introduction to programming in C	Lecture 37 - Sizeof operator
Link	NOC : Introduction to programming in C	Lecture 38 - Returning pointers from functions
Link	NOC : Introduction to programming in C	Lecture 39 - Example - return duplicate of a string
Link	NOC : Introduction to programming in C	Lecture 40 - Recursion - Linear Recursion
Link	NOC : Introduction to programming in C	Lecture 41 - Recursion - Linear Recursion - 2
Link	NOC : Introduction to programming in C	Lecture 42 - Recursion - Two-way Recursion
Link	NOC : Introduction to programming in C	Lecture 43 - Multidimensional Arrays
Link	NOC : Introduction to programming in C	Lecture 44 - Multidimensional Arrays and Pointers
Link	NOC : Introduction to programming in C	Lecture 45 - Multidimensional Arrays and Pointers - continued (2)
Link	NOC : Introduction to programming in C	Lecture 46 - Multidimensional Arrays and Pointers - continued (3)
Link	NOC : Introduction to programming in C	Lecture 47 - File Handling
Link	NOC : Introduction to programming in C	Lecture 48 - Some other file-handling functions
Link	NOC : Introduction to programming in C	Lecture 49 - Structures in C - 1
Link	NOC : Introduction to programming in C	Lecture 50 - Structures in C - 2
Link	NOC : Introduction to programming in C	Lecture 51 - Singly Linked Lists
Link	NOC : Introduction to programming in C	Lecture 52 - Doubly Linked Lists - introduction
Link	NOC : Introduction to programming in C	Lecture 53 - Organizing code into multiple files - 1
Link	NOC : Introduction to programming in C	Lecture 54 - Organizing code into multiple files - 2
Link	NOC : Introduction to programming in C	Lecture 55 - Pre and post increment
Link	NOC : Introduction to programming in C	Lecture 56 - Doubly Linked Lists - Introduction
Link	NOC : Introduction to programming in C	Lecture 57 - Organizing code into multiple files - 1
Link	NOC : Introduction to programming in C	Lecture 58 - Organizing code into multiple files - 2
Link	NOC : Introduction to programming in C	Lecture 59 - Pre and post increment operators
Link	NOC:Fundamentals of Database Systems	Lecture 1 - Introduction to Databases
Link	NOC:Fundamentals of Database Systems	Lecture 2 - Relational Data Model
Link	NOC:Fundamentals of Database Systems	Lecture 3 - Relational Algebra Basic Operators
Link	NOC:Fundamentals of Database Systems	Lecture 4 - Relational Algebra Composition of Operators
Link	NOC:Fundamentals of Database Systems	Lecture 5 - Relational Algebra Additional Operators
Link	NOC:Fundamentals of Database Systems	Lecture 6 - Relational Algebra Extended Relational Algebra
Link	NOC:Fundamentals of Database Systems	Lecture 7 - Relational Algebra: Database Modifications
Link	NOC:Fundamentals of Database Systems	Lecture 8 - SQL: Introduction and Data Definition
Link	NOC:Fundamentals of Database Systems	Lecture 9 - SQL: Basic Queries
Link	NOC:Fundamentals of Database Systems	Lecture 10 - SQL: Advanced Queries
Link	NOC:Fundamentals of Database Systems	Lecture 11 - SQL: Updates, Joins, Views and Triggers
Link	NOC:Fundamentals of Database Systems	Lecture 12 - Normalization Theory: Motivation
Link	NOC:Fundamentals of Database Systems	Lecture 13 - Normalization Theory: 1 NF and 2NF
Link	NOC:Fundamentals of Database Systems	Lecture 14 - Normalization Theory: 3NF
Link	NOC:Fundamentals of Database Systems	Lecture 15 - Normalization Theory: BCNF
Link	NOC:Fundamentals of Database Systems	Lecture 16 - Normalization Theory: MVD
Link	NOC:Fundamentals of Database Systems	Lecture 17 - Physical Design
Link	NOC:Fundamentals of Database Systems	Lecture 18 - Database Indexing: Hashing
Link	NOC:Fundamentals of Database Systems	Lecture 19 - Database Indexing: Tree-based Indexing
Link	NOC:Fundamentals of Database Systems	Lecture 20 - Query Processing: Selection
Link	NOC:Fundamentals of Database Systems	Lecture 21 - Query Processing: Sorting
Link	NOC:Fundamentals of Database Systems	Lecture 22 - Query Processing: Nested-Loop joins and Merge join
Link	NOC:Fundamentals of Database Systems	Lecture 23 - Query Processing: Hash join and other Operations
Link	NOC:Fundamentals of Database Systems	Lecture 24 - Query Optimization: Equivalent Expressions and Simple Equivalance Rules
Link	NOC:Fundamentals of Database Systems	Lecture 25 - Query Optimization: Complex Equivalence Rules
Link	NOC:Fundamentals of Database Systems	Lecture 26 - Query Optimization: Join Order
Link	NOC:Fundamentals of Database Systems	Lecture 27 - Query Optimization: Heuristics and Sizes
Link	NOC:Fundamentals of Database Systems	Lecture 28 - Database Transactions: Properties and Failures
Link	NOC:Fundamentals of Database Systems	Lecture 29 - Database Transactions: States and Systems
Link	NOC:Fundamentals of Database Systems	Lecture 30 - Recovery Systems: Deferred Database Modification
Link	NOC:Fundamentals of Database Systems	Lecture 31 - Recovery Systems: Immediate Database Modification.
Link	NOC:Fundamentals of Database Systems	Lecture 32 - Recovery Systems: Checkpointing and Shadow Paging
Link	NOC:Fundamentals of Database Systems	Lecture 33 - Schedules: Introduction
Link	NOC:Fundamentals of Database Systems	Lecture 34 - Schedules: Conflict Serializability
Link	NOC:Fundamentals of Database Systems	Lecture 35 - Schedules: View Serializability
Link	NOC:Fundamentals of Database Systems	Lecture 36 - Schedules: Result Equivalence and Testing for Serializability
Link	NOC:Fundamentals of Database Systems	Lecture 37 - Schedules: Recoverability
Link	NOC:Fundamentals of Database Systems	Lecture 38 - Concurrency Control: Locks
Link	NOC:Fundamentals of Database Systems	Lecture 39 - Concurrency Control: Two-phase Locking Protocol
Link	NOC:Fundamentals of Database Systems	Lecture 40 - Concurrency Control: Timestamp Ordering Protocol
Link	NOC:Fundamentals of Database Systems	Lecture 41 - Concurrency Control: Validation-based Protocol
Link	NOC:Fundamentals of Database Systems	Lecture 42 - Concurrency Control: Multiple Granularity for Locks
Link	NOC:Fundamentals of Database Systems	Lecture 43 - Concurrency Control: Deadlock Prevention and Deadlock Detection
Link	NOC:Fundamentals of Database Systems	Lecture 44 - Concurrency Control: Deadlock Recovery and Update Operations
Link	NOC:Fundamentals of Database Systems	Lecture 45 - NoSQL: Introduction and Properties
Link	NOC:Fundamentals of Database Systems	Lecture 46 - NoSQL: Columnar Families
Link	NOC:Fundamentals of Database Systems	Lecture 47 - NoSQL: Different NoSQL Systems
Link	NOC:Fundamentals of Database Systems	Lecture 48 - Big Data
Link	NOC:Theory of Computation	Lecture 1 - Introduction to Finite Automata
Link	NOC:Theory of Computation	Lecture 2 - Basic Notation and Convention, DFA Edit Lesson
Link	NOC:Theory of Computation	Lecture 3 - Example of DFAs
Link	NOC:Theory of Computation	Lecture 4 - Computation by DFA and Regular operation
Link	NOC:Theory of Computation	Lecture 5 - Introduction to Nondeterminism
Link	NOC:Theory of Computation	Lecture 6 - NFA, definition and examples
Link	NOC:Theory of Computation	Lecture 7 - Equivalence of NFA and DFA, Closure properties
Link	NOC:Theory of Computation	Lecture 8 - Regular expressions
Link	NOC:Theory of Computation	Lecture 9 - Algebraic properties, RE to NFA conversion
Link	NOC:Theory of Computation	Lecture 10 - GNFA to RE conversion
Link	NOC:Theory of Computation	Lecture 11 - More closure properties of regular languages
Link	NOC:Theory of Computation	Lecture 12 - Non-regular languages and pumping lemma
Link	NOC:Theory of Computation	Lecture 13 - Examples of non-regular languages
Link	NOC:Theory of Computation	Lecture 14 - DFA minimization
Link	NOC:Theory of Computation	Lecture 15 - Introduction to CFGs
Link	NOC:Theory of Computation	Lecture 16 - Examples of CFGs, Reg subset of CFL
Link	NOC:Theory of Computation	Lecture 17 - Parse tree, derivation, ambiguity
Link	NOC:Theory of Computation	Lecture 18 - Normal forms, Chomsky normal form
Link	NOC:Theory of Computation	Lecture 19 - Non-CFLs, pumping lemma
Link	NOC:Theory of Computation	Lecture 20 - Examples of non- CFLs
Link	NOC:Theory of Computation	Lecture 21 - Pushdown Automata
Link	NOC:Theory of Computation	Lecture 22 - Pushdown Automata - Definition and Example
Link	NOC:Theory of Computation	Lecture 23 - Pushdown Automata - Examples and Relation with CFGs
Link	NOC:Theory of Computation	Lecture 24 - Closure Properties of CFLs
Link	NOC:Theory of Computation	Lecture 25 - Deterministic Context Free Languages
Link	NOC:Theory of Computation	Lecture 26 - Turing Machine
Link	NOC:Theory of Computation	Lecture 27 - More on Turing Machine
Link	NOC:Theory of Computation	Lecture 28 - Non deterministic Turing Machine Edit Lesson
Link	NOC:Theory of Computation	Lecture 29 - Configuration Graphs
Link	NOC:Theory of Computation	Lecture 30 - Closure Properties of Decidable and Turing recognizable languages
Link	NOC:Theory of Computation	Lecture 31 - Decidability properties of Regular and Context Free Languages
Link	NOC:Theory of Computation	Lecture 32 - Undecidability
Link	NOC:Theory of Computation	Lecture 33 - More on Undecidability
Link	NOC:Theory of Computation	Lecture 34 - Reduction
Link	NOC:Theory of Computation	Lecture 35 - Applications of Reduction
Link	NOC:Theory of Computation	Lecture 36 - Rice's theorem
Link	NOC:Theory of Computation	Lecture 37 - Introduction to Computational Complexity Theory
Link	NOC:Theory of Computation	Lecture 38 - More on the class NP
Link	NOC:Theory of Computation	Lecture 39 - NP-Completeness
Link	NOC:Theory of Computation	Lecture 40 - More on NP-Completeness
Link	NOC:Modern Algebra	Lecture 1 - Groups : Introduction to abstraction
Link	NOC:Modern Algebra	Lecture 2 - Groups : Subgroups and homomorphism
Link	NOC:Modern Algebra	Lecture 3 - Groups : Isomorphism
Link	NOC:Modern Algebra	Lecture 4 - Groups : Quotienting
Link	NOC:Modern Algebra	Lecture 5 - Groups : Structure Theorem
Link	NOC:Modern Algebra	Lecture 6 - Groups : Applications
Link	NOC:Modern Algebra	Lecture 7 - Rings : Introduction
Link	NOC:Modern Algebra	Lecture 8 - Rings : Failure of Unique Factorization
Link	NOC:Modern Algebra	Lecture 9 - Rings : Birth of Ideals
Link	NOC:Modern Algebra	Lecture 10 - Rings : Ideal Arithmetic
Link	NOC:Modern Algebra	Lecture 11 - Rings : Special Ideals
Link	NOC:Modern Algebra	Lecture 12 - Rings : Dedekind Domains
Link	NOC:Modern Algebra	Lecture 13 - Rings : Quotient Rings
Link	NOC:Modern Algebra	Lecture 14 - Fields
Link	NOC:Modern Algebra	Lecture 15 - Cauchy sequences and real numbers
Link	NOC:Modern Algebra	Lecture 16 - Properties of Fields
Link	NOC:Modern Algebra	Lecture 17 - Finite Fields
Link	NOC:Modern Algebra	Lecture 18 - Application of Fields
Link	NOC:Advanced Graph Theory	Lecture 1 - Graph Theory: Introduction
Link	NOC:Advanced Graph Theory	Lecture 2 - Paths, Cycles and Trails
Link	NOC:Advanced Graph Theory	Lecture 3 - Eulerian Circuits, Vertex Degrees and Counting
Link	NOC:Advanced Graph Theory	Lecture 4 - The Chinese Postman Problem and Graphic Sequences
Link	NOC:Advanced Graph Theory	Lecture 5 - Trees and Distance
Link	NOC:Advanced Graph Theory	Lecture 6 - Spanning Trees and Enumeration
Link	NOC:Advanced Graph Theory	Lecture 7 - Matchings and Covers
Link	NOC:Advanced Graph Theory	Lecture 8 - Independent Sets, Covers and Maximum Bipartite Matching
Link	NOC:Advanced Graph Theory	Lecture 9 - Weighted Bipartite Matching
Link	NOC:Advanced Graph Theory	Lecture 10 - Stable Matchings and Faster Bipartite Matching
Link	NOC:Advanced Graph Theory	Lecture 11 - Factors and Perfect Matching in General Graphs
Link	NOC:Advanced Graph Theory	Lecture 12 - Matching in General Graphs: Edmonds’ Blossom Algorithm
Link	NOC:Advanced Graph Theory	Lecture 13 - Connectivity and Paths: Cuts and Connectivity
Link	NOC:Advanced Graph Theory	Lecture 14 - k-Connected Graphs
Link	NOC:Advanced Graph Theory	Lecture 15 - Network Flow Problems
Link	NOC:Advanced Graph Theory	Lecture 16 - Vertex Coloring and Upper Bounds
Link	NOC:Advanced Graph Theory	Lecture 17 - Brooks’ Theorem and Color-Critical Graphs
Link	NOC:Advanced Graph Theory	Lecture 18 - Counting Proper Colorings
Link	NOC:Advanced Graph Theory	Lecture 19 - Planar Graphs
Link	NOC:Advanced Graph Theory	Lecture 20 - Characterization of Planar Graphs
Link	NOC:Advanced Graph Theory	Lecture 21 - Line Graphs and Edge-coloring
Link	NOC:Advanced Graph Theory	Lecture 22 - Hamiltonian Graph, Traveling Salesman Problem and NP-Completeness
Link	NOC:Advanced Graph Theory	Lecture 23 - Connected Dominating Set and Distributed Algorithm
Link	NOC:Cloud Computing and Distributed Systems	Lecture 1 - Introduction to Cloud Computing
Link	NOC:Cloud Computing and Distributed Systems	Lecture 2 - Virtualization
Link	NOC:Cloud Computing and Distributed Systems	Lecture 3 - Hotspot Mitigation for Virtual Machine Migration
Link	NOC:Cloud Computing and Distributed Systems	Lecture 4 - Server Virtualization
Link	NOC:Cloud Computing and Distributed Systems	Lecture 5 - Software Defined Network
Link	NOC:Cloud Computing and Distributed Systems	Lecture 6 - Geo-distributed Cloud Data Centers
Link	NOC:Cloud Computing and Distributed Systems	Lecture 7 - Leader Election in Rings (Classical Distributed Algorithms)
Link	NOC:Cloud Computing and Distributed Systems	Lecture 8 - Leader Election (Ring LE and Bully LE Algorithm)
Link	NOC:Cloud Computing and Distributed Systems	Lecture 9 - Design of Zookeeper
Link	NOC:Cloud Computing and Distributed Systems	Lecture 10 - Time and Clock Synchronization in Cloud Data Centers
Link	NOC:Cloud Computing and Distributed Systems	Lecture 11 - Global State and Snapshot Recording Algorithms
Link	NOC:Cloud Computing and Distributed Systems	Lecture 12 - Distributed Mutual Exclusion
Link	NOC:Cloud Computing and Distributed Systems	Lecture 13 - Consensus in Cloud Computing and Paxos
Link	NOC:Cloud Computing and Distributed Systems	Lecture 14 - Byzantine Agreement
Link	NOC:Cloud Computing and Distributed Systems	Lecture 15 - Failures and Recovery Approaches in Distributed Systems
Link	NOC:Cloud Computing and Distributed Systems	Lecture 16 - Design of Key-Value Stores
Link	NOC:Cloud Computing and Distributed Systems	Lecture 17 - Design of HBase
Link	NOC:Cloud Computing and Distributed Systems	Lecture 18 - Peer to Peer Systems in Cloud Computing
Link	NOC:Cloud Computing and Distributed Systems	Lecture 19 - MapReduce
Link	NOC:Cloud Computing and Distributed Systems	Lecture 20 - Introduction to Spark
Link	NOC:Cloud Computing and Distributed Systems	Lecture 21 - Introduction to Kafka
Link	NOC:Big Data Computing	Lecture 1 - Introduction to Big Data
Link	NOC:Big Data Computing	Lecture 2 - Big Data Enabling Technologies
Link	NOC:Big Data Computing	Lecture 3 - Hadoop Stack for Big Data
Link	NOC:Big Data Computing	Lecture 4 - Hadoop Distributed File System (HDFS)
Link	NOC:Big Data Computing	Lecture 5 - Hadoop MapReduce 1.0
Link	NOC:Big Data Computing	Lecture 6 - Hadoop MapReduce 2.0 - Part I
Link	NOC:Big Data Computing	Lecture 7 - Hadoop MapReduce 2.0 - Part II
Link	NOC:Big Data Computing	Lecture 8 - MapReduce Examples
Link	NOC:Big Data Computing	Lecture 9 - Parallel Programming with Spark
Link	NOC:Big Data Computing	Lecture 10 - Introduction to Spark
Link	NOC:Big Data Computing	Lecture 11 - Spark Built-in Libraries
Link	NOC:Big Data Computing	Lecture 12 - Design of Key-Value Stores
Link	NOC:Big Data Computing	Lecture 13 - Data Placement Strategies
Link	NOC:Big Data Computing	Lecture 14 - CAP Theorem
Link	NOC:Big Data Computing	Lecture 15 - Consistency Solutions
Link	NOC:Big Data Computing	Lecture 16 - CQL (Cassandra Query Language)
Link	NOC:Big Data Computing	Lecture 17 - Design of Zookeeper
Link	NOC:Big Data Computing	Lecture 18 - Design of HBase
Link	NOC:Big Data Computing	Lecture 19 - Spark Streaming and Sliding Window Analytics - Part I
Link	NOC:Big Data Computing	Lecture 20 - Spark Streaming and Sliding Window Analytics - Part II
Link	NOC:Big Data Computing	Lecture 21 - Sliding Window Analytics
Link	NOC:Big Data Computing	Lecture 22 - Introduction to Kafka
Link	NOC:Big Data Computing	Lecture 23 - Big Data Machine Learning - Part I
Link	NOC:Big Data Computing	Lecture 24 - Big Data Machine Learning - Part II
Link	NOC:Big Data Computing	Lecture 25 - Machine Learning Algorithm K-means using Map Reduce for Big Data Analytics
Link	NOC:Big Data Computing	Lecture 26 - Parallel K-means using Map Reduce on Big Data Cluster Analysis
Link	NOC:Big Data Computing	Lecture 27 - Decision Trees for Big Data Analytics
Link	NOC:Big Data Computing	Lecture 28 - Big Data Predictive Analytics - Part I
Link	NOC:Big Data Computing	Lecture 29 - Big Data Predictive Analytics - Part II
Link	NOC:Big Data Computing	Lecture 30 - Parameter Servers
Link	NOC:Big Data Computing	Lecture 31 - PageRank Algorithm in Big Data
Link	NOC:Big Data Computing	Lecture 32 - Spark GraphX and Graph Analytics - Part I
Link	NOC:Big Data Computing	Lecture 33 - Spark GraphX and Graph Analytics - Part II
Link	NOC:Big Data Computing	Lecture 34 - Case Study: Flight Data Analysis using Spark GraphX
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 1
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 2
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 3
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 4
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 5
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 6
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 7
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 8
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 9
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 10
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 11
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 12
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 13
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 14
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 15
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 16
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 17
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 18
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 19
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 20
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 21
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 22
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 23
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 24
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 25
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 26
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 27
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 28
Link	NOC:Introduction to Blockchain Technology and Applications	Lecture 29
Link	NOC:Arithmetic Circuit Complexity	Lecture 1 - Turing Machines and Introduction to Arithmetic Circuits
Link	NOC:Arithmetic Circuit Complexity	Lecture 2 - Arithmetic complexity classes
Link	NOC:Arithmetic Circuit Complexity	Lecture 3 - Determinant is in VP
Link	NOC:Arithmetic Circuit Complexity	Lecture 4 - Determinant vs Arithmetic Branching Programs (ABP)
Link	NOC:Arithmetic Circuit Complexity	Lecture 5 - Determinant as signed sum of clow sequence
Link	NOC:Arithmetic Circuit Complexity	Lecture 6 - Determinant has small ABP and Strassen's homogenization
Link	NOC:Arithmetic Circuit Complexity	Lecture 7 - Depth reduction for arithmetic formulas
Link	NOC:Arithmetic Circuit Complexity	Lecture 8 - Depth reduction for arithmetic circuits
Link	NOC:Arithmetic Circuit Complexity	Lecture 9 - Depth 4 reduction
Link	NOC:Arithmetic Circuit Complexity	Lecture 10 - Depth 3 reduction
Link	NOC:Arithmetic Circuit Complexity	Lecture 11 - Equivalence of Formulas and Width 3 ABP
Link	NOC:Arithmetic Circuit Complexity	Lecture 12 - Width-2 ABP Chasm
Link	NOC:Arithmetic Circuit Complexity	Lecture 13 - Grigoriev-Karpinski Measure
Link	NOC:Arithmetic Circuit Complexity	Lecture 14 - Lower Bound of Depth-3 circuit over finite fields
Link	NOC:Arithmetic Circuit Complexity	Lecture 15 - Lower Bound for depth 3 Multilinear Circuits
Link	NOC:Arithmetic Circuit Complexity	Lecture 16 - Lower Bound for Constant depth Multilinear Circuits
Link	NOC:Arithmetic Circuit Complexity	Lecture 17 - Structural lemma for constant depth multilinear circuits
Link	NOC:Arithmetic Circuit Complexity	Lecture 18 - Extending the proof for multilinear formulas
Link	NOC:Arithmetic Circuit Complexity	Lecture 19 - Shifted Partial Derivative Measure
Link	NOC:Arithmetic Circuit Complexity	Lecture 20 - Exponential Lower Bound for General depth-4 CIrcuits
Link	NOC:Arithmetic Circuit Complexity	Lecture 21 - Lower Bound on Homogeneous Depth-4 circuits
Link	NOC:Arithmetic Circuit Complexity	Lecture 22 - Introduction to PIT
Link	NOC:Arithmetic Circuit Complexity	Lecture 23 - Hitting Set and Hitting Set Generator
Link	NOC:Arithmetic Circuit Complexity	Lecture 24 - PIT vs Lower Bounds
Link	NOC:Computational Complexity Theory	Lecture 1 - Introduction
Link	NOC:Computational Complexity Theory	Lecture 2 - NP Completeness
Link	NOC:Computational Complexity Theory	Lecture 3 - SAT is NP-complete
Link	NOC:Computational Complexity Theory	Lecture 4 - More on NP completeness
Link	NOC:Computational Complexity Theory	Lecture 5 - Hierarchy Theorems
Link	NOC:Computational Complexity Theory	Lecture 6 - Introduction to Space Complexity
Link	NOC:Computational Complexity Theory	Lecture 7 - Savitch’s Theorem
Link	NOC:Computational Complexity Theory	Lecture 8 - Immerman-Szelepscenyi Theorem
Link	NOC:Computational Complexity Theory	Lecture 9 - Polynomial Hierarchy
Link	NOC:Computational Complexity Theory	Lecture 10 - A PSPACE Complete Problem
Link	NOC:Computational Complexity Theory	Lecture 11 - More on Polynomial Hierarchy
Link	NOC:Computational Complexity Theory	Lecture 12 - Alternating Turing Machines
Link	NOC:Computational Complexity Theory	Lecture 13 - Equivalence of Quantifier and Oracle Based Definitions of Polynomial Hierarchy
Link	NOC:Computational Complexity Theory	Lecture 14 - Boolean Circuits
Link	NOC:Computational Complexity Theory	Lecture 15 - Shannon’s Theorem and Karp-Lipton-Sipser Theorem
Link	NOC:Computational Complexity Theory	Lecture 16 - Bounded Depth Circuit Classes
Link	NOC:Computational Complexity Theory	Lecture 17 - Kannan’s Theorem
Link	NOC:Computational Complexity Theory	Lecture 18 - Probabilistic Complexity
Link	NOC:Computational Complexity Theory	Lecture 19 - StrongBPP and WeakBPP
Link	NOC:Computational Complexity Theory	Lecture 20 - One-sided and Zero-sided Error Probabilistic Complexity Classes
Link	NOC:Computational Complexity Theory	Lecture 21 - Error Reduction for BPP
Link	NOC:Computational Complexity Theory	Lecture 22 - BPP in PH and Logspace Randomized Classes
Link	NOC:Computational Complexity Theory	Lecture 23 - Valiant-Vazirani Theorem - I
Link	NOC:Computational Complexity Theory	Lecture 24 - Valiant-Vazirani Theorem - II
Link	NOC:Computational Complexity Theory	Lecture 25 - Amplified version of Valiant-Vazirani Theorem
Link	NOC:Computational Complexity Theory	Lecture 26 - Toda’s Theorem - I
Link	NOC:Computational Complexity Theory	Lecture 27 - Toda’s Theorem - II
Link	NOC:Computational Complexity Theory	Lecture 28 - Permanent and Determinant Functions
Link	NOC:Computational Complexity Theory	Lecture 29 - Permanent is hard for #P
Link	NOC:Computational Complexity Theory	Lecture 30 - Interactive Proofs
Link	NOC:Computational Complexity Theory	Lecture 31 - Graph Non-Isomorphism is in IP[2]
Link	NOC:Computational Complexity Theory	Lecture 32 - Set Lower Bound Protocol
Link	NOC:Computational Complexity Theory	Lecture 33 - MA is in AM
Link	NOC:Computational Complexity Theory	Lecture 34 - Sumcheck Protocol - I
Link	NOC:Computational Complexity Theory	Lecture 35 - Sumcheck Protocol - II
Link	NOC:Computational Complexity Theory	Lecture 36 - Parity not in AC0 - I
Link	NOC:Computational Complexity Theory	Lecture 37 - Parity not in AC0 - II
Link	NOC:Computational Complexity Theory	Lecture 38 - Circuits with Counters
Link	NOC:Computational Complexity Theory	Lecture 39 - Communication Complexity - I
Link	NOC:Computational Complexity Theory	Lecture 40 - PCP Theorem
Link	NOC:Computational Complexity Theory	Lecture 41 - Communication Complexity - II
Link	NOC:Randomized Methods in Complexity	Lecture 1 - Course Outline
Link	NOC:Randomized Methods in Complexity	Lecture 2 - Circuits and Polynomial Identity Testing
Link	NOC:Randomized Methods in Complexity	Lecture 3 - Derandomization and Lower Bounds
Link	NOC:Randomized Methods in Complexity	Lecture 4 - IP=PSPACE
Link	NOC:Randomized Methods in Complexity	Lecture 5 - ACC0 Lower Bounds
Link	NOC:Randomized Methods in Complexity	Lecture 6 - ACC0 Lower Bounds (Continued...)
Link	NOC:Randomized Methods in Complexity	Lecture 7 - Monotone Circuits
Link	NOC:Randomized Methods in Complexity	Lecture 8 - Monotone Circuit Lower Bound and Sunflower Lemma
Link	NOC:Randomized Methods in Complexity	Lecture 9 - Undirected Graph Connectivity in randomized logspace
Link	NOC:Randomized Methods in Complexity	Lecture 10 - Graph Expansion Properties
Link	NOC:Randomized Methods in Complexity	Lecture 11 - Expanders
Link	NOC:Randomized Methods in Complexity	Lecture 12 - Error Reduction using Expanders
Link	NOC:Randomized Methods in Complexity	Lecture 13 - Ajtai-Komlos-Szemeredi Theorem
Link	NOC:Randomized Methods in Complexity	Lecture 14 - Explicit construction of expanders and Zig-Zag product
Link	NOC:Randomized Methods in Complexity	Lecture 15 - Spectral analysis of Zig-Zag product
Link	NOC:Randomized Methods in Complexity	Lecture 16 - Undirected Path in logspace
Link	NOC:Randomized Methods in Complexity	Lecture 17 - Explicit Prg to derandomizing classes
Link	NOC:Randomized Methods in Complexity	Lecture 18 - Hardness vs Randomness
Link	NOC:Randomized Methods in Complexity	Lecture 19 - Hardness to NW-Generator to PRG
Link	NOC:Randomized Methods in Complexity	Lecture 20 - Partial derandomization from worst-case hardness of permanent
Link	NOC:Randomized Methods in Complexity	Lecture 21 - Error-correcting codes
Link	NOC:Randomized Methods in Complexity	Lecture 22 - Introduction to various linear explicit codes
Link	NOC:Randomized Methods in Complexity	Lecture 23 - Introduction of efficient decoding
Link	NOC:Randomized Methods in Complexity	Lecture 24 - Local decoding of WH, Reed-Muller and Concatenated codes
Link	NOC:Randomized Methods in Complexity	Lecture 25 - Introduction to List Decoding
Link	NOC:Randomized Methods in Complexity	Lecture 26 - Local List decoding of WH, RM
Link	NOC:Probability for Computer Science	Lecture 1 - Introductory examples
Link	NOC:Probability for Computer Science	Lecture 2 - Examples and Course outline
Link	NOC:Probability for Computer Science	Lecture 3 - Probability over discrete space
Link	NOC:Probability for Computer Science	Lecture 4 - Inclusion-Exclusion principle
Link	NOC:Probability for Computer Science	Lecture 5 - Probability over infinite space
Link	NOC:Probability for Computer Science	Lecture 6 - Conditional probability, Partition formula
Link	NOC:Probability for Computer Science	Lecture 7 - Independent events, Bayes theorem
Link	NOC:Probability for Computer Science	Lecture 8 - Fallacies, Random variables
Link	NOC:Probability for Computer Science	Lecture 9 - Expection
Link	NOC:Probability for Computer Science	Lecture 10 - Conditional Expectation
Link	NOC:Probability for Computer Science	Lecture 11 - Important Random Variables
Link	NOC:Probability for Computer Science	Lecture 12 - Continuous Random Variables
Link	NOC:Probability for Computer Science	Lecture 13 - Equality Checking, Poisson Distribution
Link	NOC:Probability for Computer Science	Lecture 14 - Concentration Inequivalities, Variance
Link	NOC:Probability for Computer Science	Lecture 15 - Weak Linearity of Variance, Law of Large Numbers
Link	NOC:Probability for Computer Science	Lecture 16 - Chernoff's Bound. K-wise Independence
Link	NOC:Probability for Computer Science	Lecture 17 - Union and Factorial Estimates
Link	NOC:Probability for Computer Science	Lecture 18 - Stochastic Process: Markov Chains
Link	NOC:Probability for Computer Science	Lecture 19 - Drunkard's walk, Evolution of Markov Chains
Link	NOC:Probability for Computer Science	Lecture 20 - Stationary Distribution
Link	NOC:Probability for Computer Science	Lecture 21 - Perron-Frobenius Theorem, Page Rank Algorithm
Link	NOC:Probability for Computer Science	Lecture 22 - Page Rank Algorithm: Ergodicity
Link	NOC:Probability for Computer Science	Lecture 23 - Cell Genetics
Link	NOC:Probability for Computer Science	Lecture 24 - Random Sampling
Link	NOC:Probability for Computer Science	Lecture 25 - Biased Coin Tosses, Hashing
Link	NOC:Probability for Computer Science	Lecture 26 - Hashing, Introduction to Probabilistic Methods
Link	NOC:Probability for Computer Science	Lecture 27 - Ramsey Numbers, Large Cuts in Graphcs
Link	NOC:Probability for Computer Science	Lecture 28 - Sum Free Subsets, Discrepancy
Link	NOC:Probability for Computer Science	Lecture 29 - Extremal Set Families
Link	NOC:Probability for Computer Science	Lecture 30 - Super Concentrators
Link	NOC:Probability for Computer Science	Lecture 31 - Streaming Algorithms - I
Link	NOC:Probability for Computer Science	Lecture 32 - Streaming Algorithms - II
Link	NOC:Circuit Complexity Theory	Lecture 1 - Introduction
Link	NOC:Circuit Complexity Theory	Lecture 2 - Standard Bounds
Link	NOC:Circuit Complexity Theory	Lecture 3 - Shannon's Theorem
Link	NOC:Circuit Complexity Theory	Lecture 4 - Riordon-Shannon Theorem
Link	NOC:Circuit Complexity Theory	Lecture 5 - Khrapchenko's Theorem
Link	NOC:Circuit Complexity Theory	Lecture 6 - Proof of Khrapchenko's Theorem
Link	NOC:Circuit Complexity Theory	Lecture 7 - Application of Khrapchenko's Theorem
Link	NOC:Circuit Complexity Theory	Lecture 8 - Nechiporuk's Theorem
Link	NOC:Circuit Complexity Theory	Lecture 9 - Application of Nechiporuk's Theorem
Link	NOC:Circuit Complexity Theory	Lecture 10 - Subbotovskaya's Theorem - I
Link	NOC:Circuit Complexity Theory	Lecture 11 - Subbotovskaya's Theorem - II
Link	NOC:Circuit Complexity Theory	Lecture 12 - Applications of Subbotovskaya's Theorem
Link	NOC:Circuit Complexity Theory	Lecture 13 - Upper and Lower Bounds on the Andreev Function
Link	NOC:Circuit Complexity Theory	Lecture 14 - Upper and Lower Bounds on the Andreev Function
Link	NOC:Circuit Complexity Theory	Lecture 15 - Polynomial Size Monotone Formula for MAJORITY (Valiant's Theorem) - II
Link	NOC:Circuit Complexity Theory	Lecture 16 - Circuits for Addition - Ripple Adder and Carry Lookahead Adder
Link	NOC:Circuit Complexity Theory	Lecture 17 - Circuits for Addition - Parallel Prefix Sum Method
Link	NOC:Circuit Complexity Theory	Lecture 18 - Circuits for Iterated Addition and Multiplication
Link	NOC:Circuit Complexity Theory	Lecture 19 - Bounded Depth Circuit Classes
Link	NOC:Circuit Complexity Theory	Lecture 20 - Basic Circuit for Division using Newton-Raphson Method
Link	NOC:Circuit Complexity Theory	Lecture 21 - Division in NC1 (Beame, Cook, Hoover Theorem) - I
Link	NOC:Circuit Complexity Theory	Lecture 22 - Division in NC1 (Beame, Cook, Hoover Theorem) - II
Link	NOC:Circuit Complexity Theory	Lecture 23 - Division in NC1 (Beame, Cook, Hoover Theorem) - III
Link	NOC:Circuit Complexity Theory	Lecture 24 - Division in NC1 (Beame, Cook, Hoover Theorem) - IV
Link	NOC:Circuit Complexity Theory	Lecture 25 - Division in NC1 (Beame, Cook, Hoover Theorem) - V
Link	NOC:Circuit Complexity Theory	Lecture 26 - Division in NC1 (Beame, Cook, Hoover Theorem) - VI
Link	NOC:Circuit Complexity Theory	Lecture 27 - Relation between Bounded Depth Circuit Classes and Uniform Complexity Classes - I
Link	NOC:Circuit Complexity Theory	Lecture 28 - Relation between Bounded Depth Circuit Classes and Uniform Complexity Classes - II
Link	NOC:Circuit Complexity Theory	Lecture 29 - Reducing Circuit Depth
Link	NOC:Circuit Complexity Theory	Lecture 30 - P is in P/poly
Link	NOC:Circuit Complexity Theory	Lecture 31 - Discussion on Lower Circuit Bounds for Bounded Depth Circuit Classes
Link	NOC:Circuit Complexity Theory	Lecture 32 - Monotone Circuit Lower Bound for Clique (Razborov's Theorem) - I
Link	NOC:Circuit Complexity Theory	Lecture 33 - Monotone Circuit Lower Bound for Clique (Razborov's Theorem) - II
Link	NOC:Circuit Complexity Theory	Lecture 34 - Monotone Circuit Lower Bound for Clique (Razborov's Theorem) - III
Link	NOC:Circuit Complexity Theory	Lecture 35 - Monotone Circuit Lower Bound for Clique (Razborov's Theorem) - IV
Link	NOC:Circuit Complexity Theory	Lecture 36 - Monotone Circuit Lower Bound for Clique (Razborov's Theorem) - V
Link	NOC:Circuit Complexity Theory	Lecture 37 - Monotone Circuit Lower Bound for Clique (Razborov's Theorem) - VI
Link	NOC:Circuit Complexity Theory	Lecture 38 - Circuit Lower Bound for Parity by Approximating Circuits using Polynomials (Razborov-Smolensky Theorem) - I
Link	NOC:Circuit Complexity Theory	Lecture 39 - Circuit Lower Bound for Parity by Approximating Circuits using Polynomials (Razborov-Smolensky Theorem) - II
Link	NOC:Circuit Complexity Theory	Lecture 40 - Circuit Lower Bound for Parity by Approximating Circuits using Polynomials (Razborov-Smolensky Theorem) - III
Link	NOC:Circuit Complexity Theory	Lecture 41 - Circuit Lower Bound for Parity using Switching Lemma (Hastad's Theorem)
Link	NOC:Circuit Complexity Theory	Lecture 42 - Circuit Lower Bound for Parity using Switching Lemma (Hastad's Theorem)
Link	NOC:Circuit Complexity Theory	Lecture 43 - Circuit Lower Bound for Parity using Switching Lemma (Hastad's Theorem)
Link	NOC:Circuit Complexity Theory	Lecture 44 - Proof of Hastad's Switching Lemma - I
Link	NOC:Circuit Complexity Theory	Lecture 45 - Proof of Hastad's Switching Lemma - II
Link	NOC:Circuit Complexity Theory	Lecture 46 - Communication Complexity of a Function
Link	NOC:Circuit Complexity Theory	Lecture 47 - Relation Between Communication Complexity and Circuit Depth (Karchmer-Wigderson Theorem) - I
Link	NOC:Circuit Complexity Theory	Lecture 48 - Relation Between Communication Complexity and Circuit Depth (Karchmer-Wigderson Theorem) - II
Link	NOC:Circuit Complexity Theory	Lecture 49 - Bounded Width Branching Programs = NC1 (Barrington's Theorem) - I
Link	NOC:Circuit Complexity Theory	Lecture 50 - Bounded Width Branching Programs = NC1 (Barrington's Theorem) - II
Link	NOC:Circuit Complexity Theory	Lecture 51 - Width 3 Branching Programs = MOD3 o MOD2 Circuits (Barrington's Theorem) - I
Link	NOC:Circuit Complexity Theory	Lecture 52 - Width 3 Branching Programs = MOD3 o MOD2 Circuits (Barrington's Theorem) - II
Link	NOC:Circuit Complexity Theory	Lecture 53 - Uniform AC0 can be simulated by depth 3 Threshold circuits of quasipolynomial size (Allender-Hertramph Theorem) - I
Link	NOC:Circuit Complexity Theory	Lecture 54 - Uniform AC0 can be simulated by depth 3 Threshold circuits of quasipolynomial size (Allender-Hertramph Theorem) - II
Link	NOC:Circuit Complexity Theory	Lecture 55 - Valient-Vazirani Theorem - I
Link	NOC:Circuit Complexity Theory	Lecture 56 - Valient-Vazirani Theorem - II
Link	NOC:Circuit Complexity Theory	Lecture 57 - Natural Proof Barrier (Razborov-Rudich Theorem) - I
Link	NOC:Circuit Complexity Theory	Lecture 58 - Natural Proof Barrier (Razborov-Rudich Theorem) - II
Link	NOC:Circuit Complexity Theory	Lecture 59 - Pseudorandom Function Generator by Goldreich, Goldwasser and Micali - I
Link	NOC:Circuit Complexity Theory	Lecture 60 - Pseudorandom Function Generator by Goldreich, Goldwasser and Micali - II
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 1 - Introduction to Edge Computing
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 2 - Introduction to Cloud
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 3 - Introduction to IoT Platform
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 4 - Time and Clock Synchronization in IoT
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 5 - Enabling Intelligence at Edge Layer for IoT
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 6 - ML-based Image Classifier at IoT-Edge
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 7 - Introduction to Docker Containers and Kubernetes
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 8 - ML based Predictive Maintenance at IoT Edge
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 9 - Deep Reinforcement Learning for Cloud Edge
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 10 - Deep Reinforcement Learning for Cloud Edge Example
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 11 - Public Cloud Services Case Study of AWS Services
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 12 - Mathematical formulations for task offloading in Edge Cloud
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 13 - Task Offloading Based on LSTM Prediction and Deep Reinforcement Learning
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 14 - Vertical and Horizontal Offloading for Cloud Edge
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 15 - Global State and Snapshot Recording Algorithms
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 16 - Hot Data Analytics for Real Time Streaming in IoT Platform
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 17 - Introduction to MQTT and Kafka in IoT Platform
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 18 - Introduction to Edge Data Center for IoT Platform
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 19 - Design of Key Value Stores for IoT Edge Storage
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 20 - Introduction to Edge ML with AWS IoT platform
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 21 - Introduction to Federated Learning at IoT Edge
Link	NOC:Foundation of Cloud IoT Edge ML	Lecture 22 - ML for Autonomous Driving Car
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 1 - Linear Programming, an Example
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 2 - Introduction to Linear Programming
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 3 - Gaussian Elimination with Examples
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 4 - Summary of Gaussian Elimination
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 5 - Vector Space over real numbers
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 6 - Linear Operators
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 7 - Solutions of Linear Equations
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 8 - Resource Allocation as LP
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 9 - Approximate Degree as LP
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 10 - Equivalent LP's
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 11 - Introduction to Convexity
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 12 - Different Kind of Convex Sets
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 13 - Feasible Region of LP
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 14 - Proof of Weyl's Theorem
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 15 - Definition of Convex Functions
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 16 - Properties of Convex Functions and Examples
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 17 - Basic Feasible Solution
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 18 - BFS and Vertices
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 19 - Simplex Algorithm
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 20 - Details of Simplex Algorithm
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 21 - Starting BFS
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 22 - Degeneracy
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 23 - Introduction to Duality
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 24 - Hyperplane Separation Theorems
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 25 - Farkas Lemma
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 26 - How to take dual
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 27 - Examples of taking dual
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 28 - Strong Duality
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 29 - Proof of Strong Duality
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 30 - Complementary Slackness
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 31 - Introduction to Algorithmic Game Theory
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 32 - Nash Equilibrium
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 33 - Minimax and Nash Equilibrium
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 34 - Deterministic Communication Complexity
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 35 - Randomized Communication Complexity
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 36 - Yao's Minimax Theorem
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 37 - Lower bounds using Yao's Minimax
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 38 - Set Disjointness Problem
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 39 - LP for mass flow problem
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 40 - LP for min cut problem
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 41 - Max flow = Min cut
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 42 - Primal dual approach
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 43 - Primal dual for max flow
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 44 - Set cover problem
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 45 - Rounding for set cover
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 46 - Analysis of Rounding
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 47 - Algorithm for Set Cover
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 48 - Linear Regression through LP
Link	NOC:Linear Programming and its Applications to Computer Science	Lecture 49 - Linear Classifiers through LP
Link	NOC:Basics of Computational Complexity	Lecture 1 - Introduction
Link	NOC:Basics of Computational Complexity	Lecture 2 - Outline
Link	NOC:Basics of Computational Complexity	Lecture 3 - Formalize Problems and Machines
Link	NOC:Basics of Computational Complexity	Lecture 4 - Turing Machine
Link	NOC:Basics of Computational Complexity	Lecture 5 - Asymptotics, Church-Turing Thesis and UTM
Link	NOC:Basics of Computational Complexity	Lecture 6 - Halting Problem and Diagonalization
Link	NOC:Basics of Computational Complexity	Lecture 7 - Classes P, NP, EXP
Link	NOC:Basics of Computational Complexity	Lecture 8 - Comparison of Classes and Non-determination
Link	NOC:Basics of Computational Complexity	Lecture 9 - NP Vs Ntime
Link	NOC:Basics of Computational Complexity	Lecture 10 - SAT is NP-hard
Link	NOC:Basics of Computational Complexity	Lecture 11 - Cook-Levin Theorem
Link	NOC:Basics of Computational Complexity	Lecture 12 - NP-Hardness and Co-Classes
Link	NOC:Basics of Computational Complexity	Lecture 13 - NEXP and Godel's Computation Question
Link	NOC:Basics of Computational Complexity	Lecture 14 - Time, Space Hierarchy
Link	NOC:Basics of Computational Complexity	Lecture 15 - NDTM Hierarchy
Link	NOC:Basics of Computational Complexity	Lecture 16 - Ladner's Theorem and Introduction to Oracles
Link	NOC:Basics of Computational Complexity	Lecture 17 - Oracle and Relativizing Proofs
Link	NOC:Basics of Computational Complexity	Lecture 18 - Non Relativizing P=NP and Introduction to Space Complexity
Link	NOC:Basics of Computational Complexity	Lecture 19 - PSpace Completeness
Link	NOC:Basics of Computational Complexity	Lecture 20 - QBF Game and NSpace
Link	NOC:Basics of Computational Complexity	Lecture 21 - NL Complete
Link	NOC:Basics of Computational Complexity	Lecture 22 - NL = coNL
Link	NOC:Basics of Computational Complexity	Lecture 23 - Polynomial Hierarchy
Link	NOC:Basics of Computational Complexity	Lecture 24 - Polynomial Hierarchy
Link	NOC:Basics of Computational Complexity	Lecture 25 - PH Complete and Oracle TM
Link	NOC:Basics of Computational Complexity	Lecture 26 - NP^NP and #SAT
Link	NOC:Basics of Computational Complexity	Lecture 27 - Counting Classes #P and PP
Link	NOC:Basics of Computational Complexity	Lecture 28 - Permanent and its Cycle cover of a Graph
Link	NOC:Basics of Computational Complexity	Lecture 29 - #P-Complete: Graph Gadgets
Link	NOC:Basics of Computational Complexity	Lecture 30 - #P-Hard: Analyse XOR
Link	NOC:Basics of Computational Complexity	Lecture 31 - Valient-Vazirani Lemma and Hashing
Link	NOC:Basics of Computational Complexity	Lecture 32 - SAT to Parity-SAT
Link	NOC:Basics of Computational Complexity	Lecture 33 - Parity Quantification
Link	NOC:Basics of Computational Complexity	Lecture 34 - Randomized Reduction of PH to Parity-P
Link	NOC:Basics of Computational Complexity	Lecture 35 - PH to #P
Link	NOC:Basics of Computational Complexity	Lecture 36 - Probabilistic TM
Link	NOC:Basics of Computational Complexity	Lecture 37 - Example of PTM and Introduction to RP and ZPP
Link	NOC:Basics of Computational Complexity	Lecture 38 - ZPP = RP and coRP
Link	NOC:Basics of Computational Complexity	Lecture 39 - Probability Amplification
Link	NOC:Basics of Computational Complexity	Lecture 40 - BPP in PH
Link	NOC:Basics of Computational Complexity	Lecture 41 - GNI is in BP.NP
Link	NOC:Basics of Computational Complexity	Lecture 42 - GI is NP-hard
Link	NOC:Basics of Computational Complexity	Lecture 43 - GI is NP-hard (Continued...) Going Beyond TMs
Link	NOC:Basics of Computational Complexity	Lecture 44 - Circuit Complexity
Link	NOC:Basics of Computational Complexity	Lecture 45 - TM with Advice - P/poly
Link	NOC:Basics of Computational Complexity	Lecture 46 - Circuits for NP and EXP
Link	NOC:Basics of Computational Complexity	Lecture 47 - Parallel Computation
Link	NOC:Basics of Computational Complexity	Lecture 48 - P-completeness and NEXP-completeness
Link	NOC:Edge Computing	Lecture 1 - Overview of Cloud Computing
Link	NOC:Edge Computing	Lecture 2 - Cloud Computing and its Limitation to Support Low Latency and RTT
Link	NOC:Edge Computing	Lecture 3 - Introduction to Edge Computing
Link	NOC:Edge Computing	Lecture 4 - Edge Computing Paradigms - 004
Link	NOC:Edge Computing	Lecture 5 - Overview of Virtualization
Link	NOC:Edge Computing	Lecture 6 - Docker Containers
Link	NOC:Edge Computing	Lecture 7 - Kubernetes
Link	NOC:Edge Computing	Lecture 8 - NoSQL Databases and Key Value Stores
Link	NOC:Edge Computing	Lecture 9 - Edge AI Intelligence at the Edge
Link	NOC:Edge Computing	Lecture 10 - Edge AI Intelligence at the Edge
Link	NOC:Edge Computing	Lecture 11 - Mobile Edge Computing
Link	NOC:Edge Computing	Lecture 12 - Geo-distributed Data Centers
Link	NOC:Edge Computing	Lecture 13 - Time and Clock Synchronization
Link	NOC:Edge Computing	Lecture 14 - Edge Computing Security and Privacy
Link	NOC:Edge Computing	Lecture 15 - Network Virtualization
Link	NOC:Edge Computing	Lecture 16 - Resource Allocation in Private and Public Edge-Cloud Systems
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 1 - Introduction to the Course - Practical Cyber Security for Cyber Practitioners
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 2 - Introduction to Cyber Kill Chains - Lockheed Martin Kill Chain
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 3 - Understanding Cyber Kill Chain - Delivery, Exploitation, and Installation
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 4 - Mastering the Cyber Kill Chain: Command and Control and Actions on Objectives
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 5 - Introduction to MITRE ATT&CK framework
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 6 - Understanding MITRE ATT&CK: A Guide to Cyber Threat Intelligence
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 7 - Mapping to ATT&CK from Finished Cyber Incident
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 8 - Introduction to Mapping to ATT&CK from Raw Data
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 9 - Mapping to ATT&CK from RAW Data
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 10 - Storing and Analyzing ATT&CK-Mapped Data
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 11 - Making Defensive Recommendations from ATT&CK-Mapped Data
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 12 - TTP Mapping and Introduction to Unified Kill Chain
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 13 - Deep Dive into Unified Kill Chain - Part 1
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 14 - Deep Dive into Unified Kill Chain - Part 2
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 15 - Introduction to MITRE DEF3ND Framework
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 16 - Deep dive into MITRE DEF3ND framework - I
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 17 - Deep dive into MITRE DEF3ND framework - II
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 18 - MITRE DEF3ND Framework Conclusion and Introduction to Risk Identification and Assessment
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 19 - Deep dive into Risk Assessment - I
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 20 - Deep dive into Risk Assessment - II
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 21 - Introduction to Cyber Crisis Management
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 22 - Cyber Crisis Conclusion and Introduction to Cyber Resilience
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 23 - Deep dive into Cyber Resilience - I
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 24 - Deep dive into Cyber Resilience - II
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 25 - Cyber Resilience Review (Self-Assessment)
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 26 - Cyber Threat Intelligence Sharing - STIX Tutorial - Part 1
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 27 - Cyber Threat Intelligence Sharing - STIX Tutorial - Part 2
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 28 - Introduction to SCAP, CVE and CCE
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 29 - Deep Dive into CVE, CCE, CPE, CVSS Scoring, XCCDF, OVAL Languages - Part 1
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 30
Link	NOC:Practical Cyber Security for Cyber Security Practitioners	Lecture 31
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 1 - Course outline and Fundamentals
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 2 - Ideals and Varieties
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 3 - Dimension of Varieties
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 4 - Projective varieties
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 5 - Morphisms and rational functions
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 6 - Local rings
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 7 - Rational maps and Birationality
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 8 - Tangent space and Singularities
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 9 - Resolution of singularities
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 10 - Discrete valuation rings
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 11 - Existence of nonsingular model
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 12 - Nonsingular curves
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 13 - Divisor on Curves
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 14 - Riemann-Roch Spaces - I
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 15 - Riemann-Roch Spaces - II
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 16 - Divisor Class Group
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 17 - Genus of a curve
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 18 - Riemann-Roch and Adeles
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 19 - Differentials and Riemann-Roch
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 20 - Canonical divisor and proof of Riemann-Roch
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 21 - Jacobian of a curve
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 22 - Zeta function of curves
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 23 - Functional equation and point counting
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 24 - Riemann hypothesis for curves
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 25 - Proof of RH for curves: Galois covers
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 26 - Proof of RH for curves II: Multilinear algebra
Link	NOC:Computational Arithmetic - Geometry for Algebraic Curves	Lecture 27 - Cohomological interpretation of zeta function
Link	NOC:Discrete Mathematics for CS	Lecture 1 - Course Outline
Link	NOC:Discrete Mathematics for CS	Lecture 2 - Whar are Proofs - I
Link	NOC:Discrete Mathematics for CS	Lecture 3 - What are Proofs - II
Link	NOC:Discrete Mathematics for CS	Lecture 4 - What are Proofs - III
Link	NOC:Discrete Mathematics for CS	Lecture 5 - How to Count - I
Link	NOC:Discrete Mathematics for CS	Lecture 6 - How to Count - II
Link	NOC:Discrete Mathematics for CS	Lecture 7 - How to Count - III
Link	NOC:Discrete Mathematics for CS	Lecture 8 - How to Count - IV and What's Combinatorics - I
Link	NOC:Discrete Mathematics for CS	Lecture 9 - What's Combinatorics - II
Link	NOC:Discrete Mathematics for CS	Lecture 10 - What's Combinatorics - III and What are Posets - I
Link	NOC:Discrete Mathematics for CS	Lecture 11 - What are Posets - II
Link	NOC:Discrete Mathematics for CS	Lecture 12 - What are Posets - III and What are Graphs - I
Link	NOC:Discrete Mathematics for CS	Lecture 13 - What are Graphs - II
Link	NOC:Discrete Mathematics for CS	Lecture 14 - What are Graphs - III
Link	NOC:Discrete Mathematics for CS	Lecture 15 - What are Graphs - IV
Link	NOC:Discrete Mathematics for CS	Lecture 16 - What are Graphs - V and Graph Properties - I
Link	NOC:Discrete Mathematics for CS	Lecture 17 - Graph Properties - II
Link	NOC:Discrete Mathematics for CS	Lecture 18 - Colorings and Matchings - I
Link	NOC:Discrete Mathematics for CS	Lecture 19 - Colorings and Matchings - II
Link	NOC:Discrete Mathematics for CS	Lecture 20 - Colorings and Matchings - III and Properties of Numbers - I
Link	NOC:Discrete Mathematics for CS	Lecture 21 - Properties of Numbers - II
Link	NOC:Discrete Mathematics for CS	Lecture 22 - Properties of Numbers - III
Link	NOC:Discrete Mathematics for CS	Lecture 23 - Properties of Numbers - IV
Link	NOC:Discrete Mathematics for CS	Lecture 24 - Properties of Numbers - V and Primes and Cryptography - I
Link	NOC:Discrete Mathematics for CS	Lecture 25 - Primes and Cryptography - II
Link	NOC:Discrete Mathematics for CS	Lecture 26 - Primes and Cryptography - III and Fields and Applications - I
Link	NOC:Discrete Mathematics for CS	Lecture 27 - Fields and Applications - II
Link	NOC:Discrete Mathematics for CS	Lecture 28 - Fields and Applications - III
Link	NOC:Discrete Mathematics for CS	Lecture 29 - Fields and Applications - IV
Link	NOC:Discrete Mathematics for CS	Lecture 30 - Fields and Applications - V
Link	NOC:Discrete Mathematics for CS	Lecture 31 - Fields and Applications - VI
Link	NOC:Discrete Mathematics for CS	Lecture 32 - Fields and Applications - VII and What's a Group - I
Link	NOC:Discrete Mathematics for CS	Lecture 33 - What's a Group - II
Link	NOC:Discrete Mathematics for CS	Lecture 34 - What's a Group - III
Link	NOC:Discrete Mathematics for CS	Lecture 35 - Burnside's Lemma and Normal Subgroups
Link	NOC:Practical High-Performance Computing	Lecture 1 - Introduction to High Performance Computation (Bird's-eye View of Computer Systems)
Link	NOC:Practical High-Performance Computing	Lecture 2 - L2 Part A : Basic Design (Bird's-eye View of Computer Systems)
Link	NOC:Practical High-Performance Computing	Lecture 3 - L2 Part B : Processors (Bird's-eye View of Computer Systems)
Link	NOC:Practical High-Performance Computing	Lecture 4 - L3 Part A : Vectorization (Bird's-eye View of Computer Systems)
Link	NOC:Practical High-Performance Computing	Lecture 5 - L3 Part B : Multicore Processors (Bird's-eye View of Computer Systems)
Link	NOC:Practical High-Performance Computing	Lecture 6 - L4 Part A : Memory (Basics of Operating System)
Link	NOC:Practical High-Performance Computing	Lecture 7 - L4 Part B : Basics of Operating System (Basics of Operating System)
Link	NOC:Practical High-Performance Computing	Lecture 8 - L4 Part C : RAM (Basics of Operating System)
Link	NOC:Practical High-Performance Computing	Lecture 9 - L4 Part D : Interconnect (Basics of Operating System)
Link	NOC:Practical High-Performance Computing	Lecture 10 - L5 Part A : Parallel Computer Classification (Basics of Operating System)
Link	NOC:Practical High-Performance Computing	Lecture 11 - L5 Part B : Classes of Parallelism (Basics of Operating System)
Link	NOC:Practical High-Performance Computing	Lecture 12 - L5 Part C : Networks (Basics of Operating System)
Link	NOC:Practical High-Performance Computing	Lecture 13 - L6 Part A : Top-10 HPC Systems (High Performance Computing (HPC) Clusters)
Link	NOC:Practical High-Performance Computing	Lecture 14 - L6 Part B : Using GPUs for HPC (High Performance Computing (HPC) Clusters)
Link	NOC:Practical High-Performance Computing	Lecture 15 - L7 Part A : Scaling (High Performance Computing (HPC) Clusters)
Link	NOC:Practical High-Performance Computing	Lecture 16 - L7 Part B : Programming Practices (High Performance Computing (HPC) Clusters)
Link	NOC:Practical High-Performance Computing	Lecture 17 - L8 Part A : Programming Language (C and Python)
Link	NOC:Practical High-Performance Computing	Lecture 18 - L8 Part B : Classes in Python (C and Python)
Link	NOC:Practical High-Performance Computing	Lecture 19 - L8 Part C : Inheritance (C and Python)
Link	NOC:Practical High-Performance Computing	Lecture 20 - L9 Part A : Modules in Python (C and Python)
Link	NOC:Practical High-Performance Computing	Lecture 21 - L9 Part B : Python Pitfalls (C and Python)
Link	NOC:Practical High-Performance Computing	Lecture 22 - L9 Part C : Python Arrays (C and Python)
Link	NOC:Practical High-Performance Computing	Lecture 23 - L10 Part A : C Arrays 1D (C and Python)
Link	NOC:Practical High-Performance Computing	Lecture 24 - L10 Part B : Higher-Dimensional C Arrays (C and Python)
Link	NOC:Practical High-Performance Computing	Lecture 25 - L11 Part A : Python Codes Optimization 1 (Programming Paradigm)
Link	NOC:Practical High-Performance Computing	Lecture 26 - L11 Part B : C++ Codes Optimization 1 (Programming Paradigm)
Link	NOC:Practical High-Performance Computing	Lecture 27 - L12 Part A : Python Codes Optimization 2 (Programming Paradigm)
Link	NOC:Practical High-Performance Computing	Lecture 28 - L12 Part B : C++ Codes Optimization 2 (Programming Paradigm)
Link	NOC:Practical High-Performance Computing	Lecture 29 - L13 Part A : C++ Codes Optimization 3 (Cache Locality) (Programming Paradigm)
Link	NOC:Practical High-Performance Computing	Lecture 30 - L13 Part B : Speeding up Using Numba (Programming Paradigm)
Link	NOC:Practical High-Performance Computing	Lecture 31 - L14 Part A : Finite Difference Method (Multiprocessing and Multithreading)
Link	NOC:Practical High-Performance Computing	Lecture 32 - L14 Part B : Particle Simulations (Molecular Dynamics) (Multiprocessing and Multithreading)
Link	NOC:Practical High-Performance Computing	Lecture 33 - L14 Part C : Using Multiprocessing Module (Multiprocessing and Multithreading)
Link	NOC:Practical High-Performance Computing	Lecture 34 - L15 Part A : Cache Issues in Multiprocessing (Multiprocessing and Multithreading)
Link	NOC:Practical High-Performance Computing	Lecture 35 - L15 Part B : Using Multithreading Module (Multiprocessing and Multithreading)
Link	NOC:Practical High-Performance Computing	Lecture 36 - L15 Part C : Computing Sum(a*b) with Multithreads (Multiprocessing and Multithreading)
Link	NOC:Practical High-Performance Computing	Lecture 37 - L15 Part D : Computing AX=Y with Multithreads (Multiprocessing and Multithreading)
Link	NOC:Practical High-Performance Computing	Lecture 38 - L16 Part A : MPI Using Mpi4py (Message Passing Interface - MPI)
Link	NOC:Practical High-Performance Computing	Lecture 39 - L16 Part B : Point-to-Point Communication (1) (Message Passing Interface - MPI)
Link	NOC:Practical High-Performance Computing	Lecture 40 - L16 Part C : Point-to-Point Communication (2) (Message Passing Interface - MPI)
Link	NOC:Practical High-Performance Computing	Lecture 41 - L17 Part A : Unblocking Send/Recv (Message Passing Interface - MPI)
Link	NOC:Practical High-Performance Computing	Lecture 42 - L17 Part B : Collective Communication and Reduction Operation (Message Passing Interface - MPI)
Link	NOC:Practical High-Performance Computing	Lecture 43 - L17 Part C : Send/Receive for Finite Difference Scheme (Message Passing Interface - MPI)
Link	NOC:Practical High-Performance Computing	Lecture 44 - L17 Part D : MPI Sum with Examples (Message Passing Interface - MPI)
Link	NOC:Practical High-Performance Computing	Lecture 45 - L18 Part A : Introduction to CUDA Programming (CUDA Programming)
Link	NOC:Practical High-Performance Computing	Lecture 46 - L18 Part B : Introduction to C (1) (CUDA Programming)
Link	NOC:Practical High-Performance Computing	Lecture 47 - L18 Part C : Introduction to C (2) (CUDA Programming)
Link	NOC:Practical High-Performance Computing	Lecture 48 - L18 Part D : CUDA Programming (1) (CUDA Programming)
Link	NOC:Practical High-Performance Computing	Lecture 49 - L19 Part A : CUDA Programming (2) (CUDA Programming)
Link	NOC:Practical High-Performance Computing	Lecture 50 - L19 Part B : Examples Using CUDA Programming (CUDA Programming)
Link	NOC:Practical High-Performance Computing	Lecture 51 - L19 Part C : Matrix Multiplication (CUDA Programming)
Link	NOC:Practical High-Performance Computing	Lecture 52 - L19 Part D : Derivative Computation Using Finite Difference (CUDA Programming)
Link	NOC:Practical High-Performance Computing	Lecture 53 - L20 Part A : Cupy Programming (Cupy/Numba/OpenACC Programming)
Link	NOC:Practical High-Performance Computing	Lecture 54 - L20 Part B : CUDA Programming with Numba (Cupy/Numba/OpenACC Programming)
Link	NOC:Practical High-Performance Computing	Lecture 55 - L20 Part C : Introduction to OpenACC Programming 1 (Cupy/Numba/OpenACC Programming)
Link	NOC:Practical High-Performance Computing	Lecture 56 - L21 Part A : Introduction to OpenACC Programming 2 (Cupy/Numba/OpenACC Programming)
Link	NOC:Practical High-Performance Computing	Lecture 57 - L21 Part B : Solving Laplace Equation / OpenACC UPDATE Directives and Clauses (Cupy/Numba/OpenACC Programming)
Link	NOC:Practical High-Performance Computing	Lecture 58 - L22 Part A : Introduction to MPI in C (MPI in C)
Link	NOC:Practical High-Performance Computing	Lecture 59 - L22 Part B : MPI Environment (MPI in C)
Link	NOC:Practical High-Performance Computing	Lecture 60 - L22 Part C : Point to Point Communications (MPI in C)
Link	NOC:Practical High-Performance Computing	Lecture 61 - L23 Part A : Collective Communication and Reduction Operation (MPI in C)
Link	NOC:Practical High-Performance Computing	Lecture 62 - L23 Part B : Using OPENMP (MPI in C)
Link	NOC:Practical High-Performance Computing	Lecture 63 - L24 Part A : FFT (FFT + Profiling + Paraview)
Link	NOC:Practical High-Performance Computing	Lecture 64 - L24 Part B : Spectral Method (FFT + Profiling + Paraview)
Link	NOC:Practical High-Performance Computing	Lecture 65 - L24 Part C : Profiling (FFT + Profiling + Paraview)
Link	NOC:Practical High-Performance Computing	Lecture 66 - L24 Part D : Paraview (FFT + Profiling + Paraview)
Link	NOC:Practical High-Performance Computing	Lecture 67 - L25 Part A : Project 1: Cahn-Hilliard Equation (Projects + Summary)
Link	NOC:Practical High-Performance Computing	Lecture 68 - L25 Part B : Project 2: Compressible Flow (Projects + Summary)
Link	NOC:Practical High-Performance Computing	Lecture 69 - L25 Part C : Project 3: Ising Model (Projects + Summary)
Link	NOC:Practical High-Performance Computing	Lecture 70 - L25 Part D : Project 4: Magnetohydodynamics (Projects + Summary)
Link	NOC:Practical High-Performance Computing	Lecture 71 - L25 Part E : Project 5: Molecular Dynamics (Projects + Summary)
Link	NOC:Practical High-Performance Computing	Lecture 72 - L25 Part F : Project 6: Nonlinear Shrodinger Equation (Projects + Summary)
Link	NOC:Practical High-Performance Computing	Lecture 73 - L25 Part G : Project 7: XY Model (Projects + Summary)
Link	NOC:Practical High-Performance Computing	Lecture 74 - L26 : Summary (Projects + Summary)
Link	Cryptography and Network Security	Lecture 1 - Introduction
Link	Cryptography and Network Security	Lecture 2 - Overview on Modern Cryptography
Link	Cryptography and Network Security	Lecture 3 - Introduction to Number Theory
Link	Cryptography and Network Security	Lecture 4 - Probability and Information Theory
Link	Cryptography and Network Security	Lecture 5 - Classical Cryptosystems
Link	Cryptography and Network Security	Lecture 6 - Cryptanalysis of Classical Ciphers
Link	Cryptography and Network Security	Lecture 7 - Shannons Theory
Link	Cryptography and Network Security	Lecture 8 - Shannons Theory (Continued...1)
Link	Cryptography and Network Security	Lecture 9 - Shannons Theory (Continued...2)
Link	Cryptography and Network Security	Lecture 10 - Symmetric Key Ciphers
Link	Cryptography and Network Security	Lecture 11 - Block Cipher Standards (DES)
Link	Cryptography and Network Security	Lecture 12 - Block Cipher Standards (AES)
Link	Cryptography and Network Security	Lecture 13 - Block Cipher Standards (AES) (Continued...)
Link	Cryptography and Network Security	Lecture 14 - Linear Cryptanalysis
Link	Cryptography and Network Security	Lecture 15 - Differential Cryptanalysis
Link	Cryptography and Network Security	Lecture 16 - Few other Cryptanalytic Techniques
Link	Cryptography and Network Security	Lecture 17 - Overview on S-Box Design Principles
Link	Cryptography and Network Security	Lecture 18 - Modes of Operation of Block Ciphers
Link	Cryptography and Network Security	Lecture 19 - Stream Ciphers
Link	Cryptography and Network Security	Lecture 20 - Stream Ciphers (Continued...1)
Link	Cryptography and Network Security	Lecture 21 - Stream Ciphers (Continued...2)
Link	Cryptography and Network Security	Lecture 22 - Pseudorandomness
Link	Cryptography and Network Security	Lecture 23 - Cryptographic Hash Functions
Link	Cryptography and Network Security	Lecture 24 - Cryptographic Hash Functions (Continued...1)
Link	Cryptography and Network Security	Lecture 25 - Cryptographic Hash Functions (Continued...2)
Link	Cryptography and Network Security	Lecture 26 - Message Authentication Codes
Link	Cryptography and Network Security	Lecture 27 - More Number Theoretic Results
Link	Cryptography and Network Security	Lecture 28 - The RSA Cryptosystem
Link	Cryptography and Network Security	Lecture 29 - Primality Testing
Link	Cryptography and Network Security	Lecture 30 - Factoring Algorithms
Link	Cryptography and Network Security	Lecture 31 - Some Comments on the Security of RSA
Link	Cryptography and Network Security	Lecture 32 - Discrete Logarithm Problem (DLP)
Link	Cryptography and Network Security	Lecture 33 - The Diffie-Hellman Problem and Security of ElGamal Systems
Link	Cryptography and Network Security	Lecture 34 - An Introduction to Elliptic Curve Cryptography
Link	Cryptography and Network Security	Lecture 35 - Application of Elliptic Curves to Cryptography
Link	Cryptography and Network Security	Lecture 36 - Implementation of Elliptic Curve Cryptography
Link	Cryptography and Network Security	Lecture 37 - Secret Sharing Schemes
Link	Cryptography and Network Security	Lecture 38 - A Tutorial on Network Protocols
Link	Cryptography and Network Security	Lecture 39 - System Security
Link	Cryptography and Network Security	Lecture 40 - Firewalls and Intrusion Detection Systems
Link	Cryptography and Network Security	Lecture 41 - Side Channel Analysis of Cryptographic Implementations
Link	High Performance Computer Architecture	Lecture 1 - Introduction & Course Outline
Link	High Performance Computer Architecture	Lecture 2 - Performance
Link	High Performance Computer Architecture	Lecture 3 - Instruction Set Architecture
Link	High Performance Computer Architecture	Lecture 4 - MIPS ISA and Processor
Link	High Performance Computer Architecture	Lecture 5 - MIPS ISA and Processor (Continued...)
Link	High Performance Computer Architecture	Lecture 6 - Pipelining - Introduction
Link	High Performance Computer Architecture	Lecture 7 - Instruction Pipelining
Link	High Performance Computer Architecture	Lecture 8 - Pipeline Hazards
Link	High Performance Computer Architecture	Lecture 9 - Data Hazards
Link	High Performance Computer Architecture	Lecture 10 - Software Pipelining
Link	High Performance Computer Architecture	Lecture 11 - In Quest of Higher ILP
Link	High Performance Computer Architecture	Lecture 12 - In Quest of Higher ILP (Continued...)
Link	High Performance Computer Architecture	Lecture 13 - Dynamic Instruction Scheduling
Link	High Performance Computer Architecture	Lecture 14 - Dynamic Instruction Scheduling (Continued...)
Link	High Performance Computer Architecture	Lecture 15 - Control Hazards
Link	High Performance Computer Architecture	Lecture 16 - Branch Prediction
Link	High Performance Computer Architecture	Lecture 17 - Branch Prediction (Continued...)
Link	High Performance Computer Architecture	Lecture 18 - Dynamic Instruction Scheduling with Branch Prediction
Link	High Performance Computer Architecture	Lecture 19 - Hardware-based Speculation
Link	High Performance Computer Architecture	Lecture 20 - Tutorial - I
Link	High Performance Computer Architecture	Lecture 21 - Hierarchical Memory Organization
Link	High Performance Computer Architecture	Lecture 22 - Hierarchical Memory Organization (Continued...1)
Link	High Performance Computer Architecture	Lecture 23 - Hierarchical Memory Organization (Continued...2)
Link	High Performance Computer Architecture	Lecture 24 - Hierarchical Memory Organization (Continued...3)
Link	High Performance Computer Architecture	Lecture 25 - Cache Optimization Techniques (Continued...1)
Link	High Performance Computer Architecture	Lecture 26 - Cache Optimization Techniques (Continued...2)
Link	High Performance Computer Architecture	Lecture 27 - Main Memory Organization
Link	High Performance Computer Architecture	Lecture 28 - Main Memory Optimizations
Link	High Performance Computer Architecture	Lecture 29 - Virtual Memory
Link	High Performance Computer Architecture	Lecture 30 - Virtual Memory (Continued...)
Link	High Performance Computer Architecture	Lecture 31 - Virtual Machines
Link	High Performance Computer Architecture	Lecture 32 - Storage Technology
Link	High Performance Computer Architecture	Lecture 33 - Storage Technology (Continued...)
Link	High Performance Computer Architecture	Lecture 34 - Case Studies
Link	High Performance Computer Architecture	Lecture 35 - Case Studies (Continued...1)
Link	High Performance Computer Architecture	Lecture 36 - Case Studies (Continued...2)
Link	High Performance Computer Architecture	Lecture 37 - Multithreading & Multiprocessing
Link	High Performance Computer Architecture	Lecture 38 - Simultaneous Multithreading
Link	High Performance Computer Architecture	Lecture 39 - Symmetric Multiprocessors
Link	High Performance Computer Architecture	Lecture 40 - Distributed Memory Multiprocessors
Link	High Performance Computer Architecture	Lecture 41 - Cluster, Grid and Cloud Computing
Link	Low Power VLSI Circuits and Systems	Lecture 1 - Introduction & Course Outline
Link	Low Power VLSI Circuits and Systems	Lecture 2 - MOS Transistors - I
Link	Low Power VLSI Circuits and Systems	Lecture 3 - MOS Transistors - II
Link	Low Power VLSI Circuits and Systems	Lecture 4 - MOS Transistors - III
Link	Low Power VLSI Circuits and Systems	Lecture 5 - MOS Transistors - IV
Link	Low Power VLSI Circuits and Systems	Lecture 6 - MOS Inverters - I
Link	Low Power VLSI Circuits and Systems	Lecture 7 - MOS Inverters - II
Link	Low Power VLSI Circuits and Systems	Lecture 8 - MOS Inverters - III
Link	Low Power VLSI Circuits and Systems	Lecture 9 - MOS Inverters - IV
Link	Low Power VLSI Circuits and Systems	Lecture 10 - Static CMOS Circuits - I
Link	Low Power VLSI Circuits and Systems	Lecture 11 - Static CMOS Circuits - II
Link	Low Power VLSI Circuits and Systems	Lecture 12 - MOS Dynamic Circuits - I
Link	Low Power VLSI Circuits and Systems	Lecture 13 - MOS Dynamic Circuits - II
Link	Low Power VLSI Circuits and Systems	Lecture 14 - Pass Transistor Logic Circuits - I
Link	Low Power VLSI Circuits and Systems	Lecture 15 - Pass Transistor Logic Circuits - II
Link	Low Power VLSI Circuits and Systems	Lecture 16 - MOS Memories
Link	Low Power VLSI Circuits and Systems	Lecture 17 - Finite State Machines
Link	Low Power VLSI Circuits and Systems	Lecture 18 - Switching Power Dissipation
Link	Low Power VLSI Circuits and Systems	Lecture 19 - Tutorial - I
Link	Low Power VLSI Circuits and Systems	Lecture 20 - Dynamic Power Dissipation
Link	Low Power VLSI Circuits and Systems	Lecture 21 - Leakage Power Dissipation
Link	Low Power VLSI Circuits and Systems	Lecture 22 - Supply Voltage Scaling - I
Link	Low Power VLSI Circuits and Systems	Lecture 23 - Supply Voltage Scaling - II
Link	Low Power VLSI Circuits and Systems	Lecture 24 - Supply Voltage Scaling - III
Link	Low Power VLSI Circuits and Systems	Lecture 25 - Supply Voltage Scaling - IV
Link	Low Power VLSI Circuits and Systems	Lecture 26 - Tutorial - II
Link	Low Power VLSI Circuits and Systems	Lecture 27 - Minimizing Switched Capacitance - I
Link	Low Power VLSI Circuits and Systems	Lecture 28 - Minimizing Switched Capacitance - II
Link	Low Power VLSI Circuits and Systems	Lecture 29 - Minimizing Switched Capacitance - III
Link	Low Power VLSI Circuits and Systems	Lecture 30 - Minimizing Switched Capacitance - IV
Link	Low Power VLSI Circuits and Systems	Lecture 31 - Minimizing Switched Capacitance - V
Link	Low Power VLSI Circuits and Systems	Lecture 32 - Minimizing Leakage Power - I
Link	Low Power VLSI Circuits and Systems	Lecture 33 - Minimizing Leakage Power - II
Link	Low Power VLSI Circuits and Systems	Lecture 34 - Minimizing Leakage Power - III
Link	Low Power VLSI Circuits and Systems	Lecture 35 - Variation Tolerant Design
Link	Low Power VLSI Circuits and Systems	Lecture 36 - Adiabatic Logic Circuits
Link	Low Power VLSI Circuits and Systems	Lecture 37 - Battery-Driven System Design
Link	Low Power VLSI Circuits and Systems	Lecture 38 - CAD Tools for Low Power
Link	Low Power VLSI Circuits and Systems	Lecture 39 - Tutorial - III
Link	Low Power VLSI Circuits and Systems	Lecture 40 - Course Summary
Link	Real Time Systems	Lecture 1 - Introduction
Link	Real Time Systems	Lecture 2 - Real - Time System Characteristics
Link	Real Time Systems	Lecture 3 - Few Basic Issues
Link	Real Time Systems	Lecture 4 - Modelling Timing Constraints
Link	Real Time Systems	Lecture 5 - Modelling Timing Constraints (Continued.)
Link	Real Time Systems	Lecture 6 - Basics of Real - Time Task Scheduling
Link	Real Time Systems	Lecture 7 - Cyclic Scheduler
Link	Real Time Systems	Lecture 8 - Event - Driven Scheduling
Link	Real Time Systems	Lecture 9 - Rate Monotonic Scheduler
Link	Real Time Systems	Lecture 10 - RMA Scheduling : Further Issues
Link	Real Time Systems	Lecture 11 - Deadline Monotonic Scheduling and Other Issues
Link	Real Time Systems	Lecture 12 - Few Issues in Use of RMA
Link	Real Time Systems	Lecture 13 - Resource Sharing Among Real-Time Tasks
Link	Real Time Systems	Lecture 14 - Highest Locker and Priority Ceiling Protocols
Link	Real Time Systems	Lecture 15 - An Analysis of Priority Ceiling Protocol
Link	Real Time Systems	Lecture 16 - Handling Task Dependencies
Link	Real Time Systems	Lecture 17 - Real-Time Task Scheduling on Multiprocessors and Distributed Systems
Link	Real Time Systems	Lecture 18 - Real-Time Task Scheduling on Multiprocessors and Distributed Systems (Continued.)
Link	Real Time Systems	Lecture 19 - Clock Synchronization in Distributed Real-Time Systems
Link	Real Time Systems	Lecture 20 - Internal Clock Synchronization in Presence of Byzantine Clocks
Link	Real Time Systems	Lecture 21 - A Few Basic Issues in Real-Time Operating Systems
Link	Real Time Systems	Lecture 22 - Tutorial - I
Link	Real Time Systems	Lecture 23 - A Few Basic Issues in Real-Time Operating Systems (Continued.)
Link	Real Time Systems	Lecture 24 - Unix and Windows as RTOS
Link	Real Time Systems	Lecture 25 - Real - Time POSIX
Link	Real Time Systems	Lecture 26 - Real - Time POSIX (Continued.)
Link	Real Time Systems	Lecture 27 - Open Source and Commercial RTOS
Link	Real Time Systems	Lecture 28 - Open Source and Commercial RTOS (Continued.)
Link	Real Time Systems	Lecture 29 - Benchmarking Real - Time Computer & Operating Systems
Link	Real Time Systems	Lecture 30 - Benchmarking Real - Time Computer & Operating Systems (Continued.)
Link	Real Time Systems	Lecture 31 - Real - Time Communications
Link	Real Time Systems	Lecture 32 - Few Basic Issues in Real - Time Communications
Link	Real Time Systems	Lecture 33 - Review of Computer Networking
Link	Real Time Systems	Lecture 34 - Real - Time Communication in a LAN
Link	Real Time Systems	Lecture 35 - Real - Time Communication in a LAN (Continued.)
Link	Real Time Systems	Lecture 36 - Performance of Two Real -Time Communication Protocols
Link	Real Time Systems	Lecture 37 - Real - Time Communication over Packet Switched Networks
Link	Real Time Systems	Lecture 38 - Real - Time Communication over Packet Switched Networks (Continued.)
Link	Real Time Systems	Lecture 39 - Real - Time Communication over Packet Switched Networks (Continued.)
Link	Real Time Systems	Lecture 40 - Real - Time Databases
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 1 - Introduction to Artificial Intelligence
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 2 - Intelligent Agents
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 3 - State Space Search
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 4 - Uninformed Search
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 5 - Informed Search
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 6 - Informed Search - 2
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 7 - Two Players Games - I
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 8 - Two Players Games - II
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 9 - Constraint Satisfaction Problems - 1
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 10 - Constraint Satisfaction Problems - 2
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 11 - Knowledge Representation and Logic
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 12 - Interface in Propositional Logic
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 13 - First Order Logic
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 14 - Reasoning Using First Order Logic
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 15 - Resolution in FOPL
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 16 - Rule Based System
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 17 - Rule Based Systems II
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 18 - Semantic Net
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 19 - Reasoning in Semantic Net
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 20 - Frames
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 21 - Planning - 1
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 22 - Planning - 2
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 23 - Planning - 3
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 24 - Planning - 4
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 25 - Rule Based Expert System
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 26 - Reasoning with Uncertainty - I
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 27 - Reasoning with Uncertainty - II
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 28 - Reasoning with Uncertainty - III
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 29 - Reasoning with Uncertainty - IV
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 30 - Fuzzy Reasoning - I
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 31 - Fuzzy Reasoning - II
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 32 - Introduction to Learning - I
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 33 - Introduction to Learning - II
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 34 - Rule Induction and Decision Trees - I
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 35 - Rule Induction and Decision Trees - II
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 36 - Learning Using neural Networks - I
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 37 - Learning Using Neural Networks - II
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 38 - Probabilistic Learning
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 39 - Natural Language Processing - I
Link	Artificial Intelligence (Prof. Anupam Basu)	Lecture 40 - Natural Language Processing - II
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 1 - Introduction to Artificial Intelligence
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 2 - Problem Solving by Search
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 3 - Searching with Costs
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 4 - Informed State Space Search
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 5 - Heuristic Search: A* and Beyond
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 6 - Problem Reduction Search: AND/OR Graphs
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 7 - Searching Game Trees
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 8 - Knowledge Based Systems: Logic and Deduction
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 9 - First Order Logic
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 10 - Inference in First Order Logic
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 11 - Resolution - Refutation Proofs
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 12 - Resolution Refutation Proofs
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 13 - Logic Programming : Prolog
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 14 - Prolog Programming
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 15 - Prolog: Exercising Control
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 16 - Additional Topics
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 17 - Introduction to Planning
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 18 - Partial Order Planning
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 19 - GraphPLAN and SATPlan
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 20 - SATPlan
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 21 - Reasoning under uncertainty
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 22 - Bayesian Networks
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 23 - Reasoning with Bayes Networks
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 24 - Reasoning with Bayes networks (Contd.)
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 25 - Reasoning under uncertainty: Issues
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 26 - Learning : Decision Trees
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 27 - Learning : Neural Networks
Link	Artificial Intelligence (Prof. P. Dasgupta)	Lecture 28 - Back Propagation Learning
Link	Computer Networks	Lecture 1 - Emergence of Networks & Reference Models
Link	Computer Networks	Lecture 2 - Network Topology
Link	Computer Networks	Lecture 3 - Physical Medium - I
Link	Computer Networks	Lecture 4 - Physical Medium - II
Link	Computer Networks	Lecture 5 - Multiplexing (Sharing a Medium)
Link	Computer Networks	Lecture 6 - Telecom Networks
Link	Computer Networks	Lecture 7 - Switches - I
Link	Computer Networks	Lecture 8 - Pocket Switches
Link	Computer Networks	Lecture 9 - SONET/SDH
Link	Computer Networks	Lecture 10 - Fiber Optic Components
Link	Computer Networks	Lecture 11 - Routing and Wavelength Assignment
Link	Computer Networks	Lecture 12 - Protection and Restoration
Link	Computer Networks	Lecture 13 - Multiple Access
Link	Computer Networks	Lecture 14 - Token Based Mac
Link	Computer Networks	Lecture 15 - Data Link Protocols
Link	Computer Networks	Lecture 16 - Error Control
Link	Computer Networks	Lecture 17 - Stop & Wait Protocol
Link	Computer Networks	Lecture 18 - Satellite Communication
Link	Computer Networks	Lecture 19 - Ethernet - CSMA/CD
Link	Computer Networks	Lecture 20 - Modern Ethernet
Link	Computer Networks	Lecture 21 - Local Internetworking
Link	Computer Networks	Lecture 22 - Cellular Networks
Link	Computer Networks	Lecture 23 - Wireless Network
Link	Computer Networks	Lecture 24 - ATM : Asynchronous Transfer Mode
Link	Computer Networks	Lecture 25 - ATM Signaling, Routing and LAN Emulation
Link	Computer Networks	Lecture 26 - Introduction to Routing
Link	Computer Networks	Lecture 27 - RIP - Distance Vector Routing
Link	Computer Networks	Lecture 28 - IP version 4
Link	Computer Networks	Lecture 29 - IP Version 6 & Mobile IP
Link	Computer Networks	Lecture 30 - UDP & Client Server
Link	Computer Networks	Lecture 31 - TCP
Link	Computer Networks	Lecture 32 - IP Multicasting
Link	Computer Networks	Lecture 33 - DHCP and ICMP
Link	Computer Networks	Lecture 34 - DNS & Directory
Link	Computer Networks	Lecture 35 - Congestion Control
Link	Computer Networks	Lecture 36 - QOS & Multimedia
Link	Computer Networks	Lecture 37 - Network Management
Link	Computer Networks	Lecture 38 - Security
Link	Computer Networks	Lecture 39 - FTP - SMTP
Link	Computer Networks	Lecture 40 - HTTP
Link	Data Communication	Lecture 1 - Introduction and Course Outline - Data Communication
Link	Data Communication	Lecture 2 - Layered Architecture
Link	Data Communication	Lecture 3 - Data and Signal
Link	Data Communication	Lecture 4 - Transmission Impairments and Channel Capacity
Link	Data Communication	Lecture 5 - Guided Transmission Media
Link	Data Communication	Lecture 6 - Unguided Media
Link	Data Communication	Lecture 7 - Transmission of Digital Signal - I
Link	Data Communication	Lecture 8 - Transmission of Digital Signal - II
Link	Data Communication	Lecture 9 - Transmission of Analog Signal - I
Link	Data Communication	Lecture 10 - Transmission of Analog Signal - II
Link	Data Communication	Lecture 11 - Multiplexing
Link	Data Communication	Lecture 12 - Multiplexing
Link	Data Communication	Lecture 13 - Multiplexing Applications - I
Link	Data Communication	Lecture 14 - Multiplexing Applications - II
Link	Data Communication	Lecture 15 - Interfacing to the Media
Link	Data Communication	Lecture 16 - Error Detection and Correction
Link	Data Communication	Lecture 17 - Flow and Error Control
Link	Data Communication	Lecture 18 - Data Link Control
Link	Data Communication	Lecture 19 - Switching Techniques Circuit Switching
Link	Data Communication	Lecture 20 - Switching Techniques Packet Switching
Link	Data Communication	Lecture 21 - Routing - I
Link	Data Communication	Lecture 22 - Routing - II
Link	Data Communication	Lecture 23 - Congestion Control
Link	Data Communication	Lecture 24 - X.25 and Frame Relay
Link	Data Communication	Lecture 25 - ATM
Link	Data Communication	Lecture 26 - Medium Access Control - I
Link	Data Communication	Lecture 27 - Medium Access Control - II
Link	Data Communication	Lecture 28 - Medium Access Control - III
Link	Data Communication	Lecture 29 - IEEE 802 LANs
Link	Data Communication	Lecture 30 - High Speed LANs
Link	Data Communication	Lecture 31 - Wireless LANs
Link	Data Communication	Lecture 32 - Cellular Telephone Systems
Link	Data Communication	Lecture 33 - Satellite Communications
Link	Data Communication	Lecture 34 - Internet and Internetworking
Link	Data Communication	Lecture 35 - TCP/IP - I
Link	Data Communication	Lecture 36 - TCP/IP - II
Link	Data Communication	Lecture 37 - Multimedia Networks
Link	Data Communication	Lecture 38 - Audio and Video Compression
Link	Data Communication	Lecture 39 - Multimedia Services
Link	Data Communication	Lecture 40 - Secured Communication - I
Link	Data Communication	Lecture 41 - Secured Communication - II
Link	Electronic Design Automation	Lecture 1 - Introduction
Link	Electronic Design Automation	Lecture 2 - Verilog : Part - I
Link	Electronic Design Automation	Lecture 3 - Verilog : Part - II
Link	Electronic Design Automation	Lecture 4 - Verilog : Part - III
Link	Electronic Design Automation	Lecture 5 - Verilog : Part - IV
Link	Electronic Design Automation	Lecture 6 - Verilog : Part - V
Link	Electronic Design Automation	Lecture 7 - Verilog : Part - VI
Link	Electronic Design Automation	Lecture 8 - Synthesis : Part - I
Link	Electronic Design Automation	Lecture 9 - Synthesis : Part - II
Link	Electronic Design Automation	Lecture 10 - Synthesis : Part - III
Link	Electronic Design Automation	Lecture 11 - Synthesis : Part - IV
Link	Electronic Design Automation	Lecture 12 - Synthesis : Part - V
Link	Electronic Design Automation	Lecture 13 - Synthesis : Part - VI
Link	Electronic Design Automation	Lecture 14 - Synthesis : Part - VII
Link	Electronic Design Automation	Lecture 15 - Backend Design : Part - I
Link	Electronic Design Automation	Lecture 16 - Backend Design : Part - II
Link	Electronic Design Automation	Lecture 17 - Backend Design : Part - III
Link	Electronic Design Automation	Lecture 18 - Backend Design : Part - IV
Link	Electronic Design Automation	Lecture 19 - Backend Design : Part - V
Link	Electronic Design Automation	Lecture 20 - Backend Design : Part - VI
Link	Electronic Design Automation	Lecture 21 - Backend Design : Part - VII
Link	Electronic Design Automation	Lecture 22 - Backend Design : Part - VIII
Link	Electronic Design Automation	Lecture 23 - Backend Design : Part - IX
Link	Electronic Design Automation	Lecture 24 - Backend Design : Part - X
Link	Electronic Design Automation	Lecture 25 - Backend Design : Part - XI
Link	Electronic Design Automation	Lecture 26 - Backend Design : Part - XII
Link	Electronic Design Automation	Lecture 27 - Backend Design : Part - XIII
Link	Electronic Design Automation	Lecture 28 - Backend Design : Part - XIV
Link	Electronic Design Automation	Lecture 29 - Backend Design : Part - XV
Link	Electronic Design Automation	Lecture 30 - Testing Part - I
Link	Electronic Design Automation	Lecture 31 - Testing Part - II
Link	Electronic Design Automation	Lecture 32 - Testing Part - III
Link	Electronic Design Automation	Lecture 33 - Testing Part - IV
Link	Electronic Design Automation	Lecture 34 - Testing Part - V
Link	Electronic Design Automation	Lecture 35 - Testing Part - VI
Link	Internet Technology	Lecture 1 - Introduction To Internet
Link	Internet Technology	Lecture 2 - Review Of Network Technologies
Link	Internet Technology	Lecture 3 - TCP/IP - Part-I
Link	Internet Technology	Lecture 4 - TCP/IP - Part-II
Link	Internet Technology	Lecture 5 - TCP/IP - Part-III
Link	Internet Technology	Lecture 6 - IP Subnetting and Addressing
Link	Internet Technology	Lecture 7 - Internet Routing Protocol - Part-I
Link	Internet Technology	Lecture 8 - Internet Routing Protocol - Part-II
Link	Internet Technology	Lecture 9 - Client Server Concepts DNS, Telnet, FTP
Link	Internet Technology	Lecture 10 - Electronic Mail
Link	Internet Technology	Lecture 11 - World Wide Web - Part-I
Link	Internet Technology	Lecture 12 - World Wide Web - Part-II
Link	Internet Technology	Lecture 13 - HTML : Part-I
Link	Internet Technology	Lecture 14 - HTML : Part-II
Link	Internet Technology	Lecture 15 - HTML : Part-III
Link	Internet Technology	Lecture 16 - Extensible Markup Language (XML)
Link	Internet Technology	Lecture 17 - HTML Forms
Link	Internet Technology	Lecture 18 - Image Maps
Link	Internet Technology	Lecture 19 - CGI Scripts
Link	Internet Technology	Lecture 20 - Other Technologies
Link	Internet Technology	Lecture 21 - PERL - Part-I
Link	Internet Technology	Lecture 22 - PERL - Part II
Link	Internet Technology	Lecture 23 - PERL - Part III
Link	Internet Technology	Lecture 24 - PERL - Part IV
Link	Internet Technology	Lecture 25 - Javascript : Part-I
Link	Internet Technology	Lecture 26 - Javascript Examples (Continued)
Link	Internet Technology	Lecture 27 - Using Cookies
Link	Internet Technology	Lecture 28 - Java Applets : Part-I
Link	Internet Technology	Lecture 29 - Java Applets : Part-II
Link	Internet Technology	Lecture 30 - Client-Server Programming In Java
Link	Internet Technology	Lecture 31 - Intranet, Extranet, Firewall
Link	Internet Technology	Lecture 32 - Basic Cryptographic Concepts Part - I
Link	Internet Technology	Lecture 33 - Basic Cryptographic Concepts Part - II
Link	Internet Technology	Lecture 34 - Basic Cryptographic Concepts Part - III
Link	Internet Technology	Lecture 35 - Electronic Commerce
Link	Internet Technology	Lecture 36 - Streaming Multimedia Applications
Link	Internet Technology	Lecture 37 - Internet Telephony
Link	Internet Technology	Lecture 38 - Search Engine And Web Crawlers : Part-I
Link	Internet Technology	Lecture 39 - Search Engine And Web Crawlers : Part-II
Link	Internet Technology	Lecture 40 - Course Summary And Conclusion
Link	Programming and Data Structure	Lecture 1 - Introduction
Link	Programming and Data Structure	Lecture 2 - C Programming - I
Link	Programming and Data Structure	Lecture 3 - C Programming - II
Link	Programming and Data Structure	Lecture 4 - C Programming - III
Link	Programming and Data Structure	Lecture 5 - Data Structuring : Case Study - I
Link	Programming and Data Structure	Lecture 6 - Data Structuring : Case Study - II
Link	Programming and Data Structure	Lecture 7 - Data Structuring : Case Study - III
Link	Programming and Data Structure	Lecture 8 - Problem Decomposition By Recursion - I
Link	Programming and Data Structure	Lecture 9 - Problem Decomposition By Recursion - II
Link	Programming and Data Structure	Lecture 10 - Problem Decomposition By Recursion - III
Link	Programming and Data Structure	Lecture 11 - Merge sort And Quick sort
Link	Programming and Data Structure	Lecture 12 - Characters And Strings
Link	Programming and Data Structure	Lecture 13 - Arrays: Addresses And Contents
Link	Programming and Data Structure	Lecture 14 - Structures - I
Link	Programming and Data Structure	Lecture 15 - Structures - II
Link	Programming and Data Structure	Lecture 16 - Dynamic Allocation Part - I
Link	Programming and Data Structure	Lecture 17 - Linked Lists - I
Link	Programming and Data Structure	Lecture 18 - Complexity (Efficiency) of Algorithms
Link	Programming and Data Structure	Lecture 19 - Asymptotic Growth Functions
Link	Programming and Data Structure	Lecture 20 - Asymptotic Analysis of Algorithms
Link	Programming and Data Structure	Lecture 21 - Data Structuring
Link	Programming and Data Structure	Lecture 22 - Search Trees
Link	Programming and Data Structure	Lecture 23 - Search Trees - II
Link	Programming and Data Structure	Lecture 24 - Search Trees - III
Link	Programming and Data Structure	Lecture 25 - 2-3 Trees
Link	Programming and Data Structure	Lecture 26 - Algorithm Design - I
Link	Programming and Data Structure	Lecture 27 - Algorithm Design - II
Link	Programming and Data Structure	Lecture 28 - Algorithm Design - III
Link	Programming and Data Structure	Lecture 29 - Graphs - I
Link	Programming and Data Structure	Lecture 30 - Graphs - II
Link	Programming and Data Structure	Lecture 31 - Graphs - III
Link	Programming and Data Structure	Lecture 32 - Conclusions
Link	NOC:Software Testing	Lecture 1 - Introduction
Link	NOC:Software Testing	Lecture 2 - Levels of Testing
Link	NOC:Software Testing	Lecture 3 - Basic Concepts in Testing
Link	NOC:Software Testing	Lecture 4 - Basic Concepts in Testing (Continued...)
Link	NOC:Software Testing	Lecture 5 - Unit Testing
Link	NOC:Software Testing	Lecture 6 - Equivalence and BV Testing
Link	NOC:Software Testing	Lecture 7 - Special Value Testing
Link	NOC:Software Testing	Lecture 8 - Combinatorial Testing
Link	NOC:Software Testing	Lecture 9 - Pairwise Testing
Link	NOC:Software Testing	Lecture 10 - White Box Testing
Link	NOC:Software Testing	Lecture 11 - MC/DC Testing
Link	NOC:Software Testing	Lecture 12 - MC/DC Testing (Continued...)
Link	NOC:Software Testing	Lecture 13 - Path Testing
Link	NOC:Software Testing	Lecture 14 - Dataflow and Mutation Testing
Link	NOC:Software Testing	Lecture 15 - Mutation Testing
Link	NOC:Software Testing	Lecture 16 - Integration Testing
Link	NOC:Software Testing	Lecture 17 - System Testing
Link	NOC:Software Testing	Lecture 18 - Regression Testing
Link	NOC:Software Testing	Lecture 19 - Testing Object-Oriented Program - Part 1
Link	NOC:Software Testing	Lecture 20 - Testing Object-Oriented Program - Part 2
Link	NOC:Programming in C++	Lecture 1 - Module 1 : Recap of C
Link	NOC:Programming in C++	Lecture 2 - Module 1 : Recap of C
Link	NOC:Programming in C++	Lecture 3 - Module 1 : Recap of C
Link	NOC:Programming in C++	Lecture 4 - Module 2 : Programs with IO and Loop
Link	NOC:Programming in C++	Lecture 5 - Module 3 : Arrays and Strings
Link	NOC:Programming in C++	Lecture 6 - Module 4 : Sorting and Searching
Link	NOC:Programming in C++	Lecture 7 - Module 5 : Stack and its Applications
Link	NOC:Programming in C++	Lecture 8 - Module 6 : Constants and Inline Functions
Link	NOC:Programming in C++	Lecture 9 - Module 6 : Constants and Inline Functions (Continued...)
Link	NOC:Programming in C++	Lecture 10 - Module 7 : Reference and Pointer
Link	NOC:Programming in C++	Lecture 11 - Module 7 : Reference and Pointer (Continued...)
Link	NOC:Programming in C++	Lecture 12 - Module 8 : Default Parameters and Function Overloading
Link	NOC:Programming in C++	Lecture 13 - Module 8 : Default Parameters and Function Overloading (Continued...)
Link	NOC:Programming in C++	Lecture 14 - Module 8 : Default Parameters and Function Overloading (Continued...)
Link	NOC:Programming in C++	Lecture 15 - Module 9 : Operator Overloading
Link	NOC:Programming in C++	Lecture 16 - Module 9 : Operator Overloading (Continued...)
Link	NOC:Programming in C++	Lecture 17 - Module 10 : Dynamic Memory Management
Link	NOC:Programming in C++	Lecture 18 - Module 10 : Dynamic Memory Management (Continued...)
Link	NOC:Programming in C++	Lecture 19 - Module 11 : Classes and Objects
Link	NOC:Programming in C++	Lecture 20 - Module 11 : Classes and Objects (Continued...)
Link	NOC:Programming in C++	Lecture 21 - Module 12 : Access Specifiers
Link	NOC:Programming in C++	Lecture 22 - Module 12 : Access Specifiers (Continued...)
Link	NOC:Programming in C++	Lecture 23 - Module 13 : Constructors, Destructors and Object Lifetime
Link	NOC:Programming in C++	Lecture 24 - Module 13 : Constructors, Destructors and Object Lifetime (Continued...)
Link	NOC:Programming in C++	Lecture 25 - Module 13 : Constructors, Destructors and Object Lifetime (Continued...)
Link	NOC:Programming in C++	Lecture 26 - Module 14 : Copy Constructor and Copy Assignment Operator
Link	NOC:Programming in C++	Lecture 27 - Module 14 : Copy Constructor and Copy Assignment Operator (Continued...)
Link	NOC:Programming in C++	Lecture 28 - Module 14 : Copy Constructor and Copy Assignment Operator (Continued...)
Link	NOC:Programming in C++	Lecture 29 - Module 15 : Const-ness
Link	NOC:Programming in C++	Lecture 30 - Module 15 : Const-ness (Continued...)
Link	NOC:Programming in C++	Lecture 31 - Module 16 : Static Members
Link	NOC:Programming in C++	Lecture 32 - Module 17 : friend Function and friend Class
Link	NOC:Programming in C++	Lecture 33 - Module 18 : Overloading Operator for User Defined Types - Part I
Link	NOC:Programming in C++	Lecture 34 - Module 19 : Overloading Operator for User Defined Types - Part II
Link	NOC:Programming in C++	Lecture 35 - Module 20 : Namespace
Link	NOC:Programming in C++	Lecture 36 - Module 21 : Inheirtnace - Part I
Link	NOC:Programming in C++	Lecture 37 - Module 22 : Inheritance - Part II
Link	NOC:Programming in C++	Lecture 38 - Module 23 : Inheritance - Part III
Link	NOC:Programming in C++	Lecture 39 - Module 24 : Inheritance - Part IV
Link	NOC:Programming in C++	Lecture 40 - Module 25 : Inheritance - Part V
Link	NOC:Programming in C++	Lecture 41 - Module 26 : Dynamic Binding - Part I
Link	NOC:Programming in C++	Lecture 42 - Module 27 : Dynamic Binding (Polymorphism) - Part II
Link	NOC:Programming in C++	Lecture 43 - Module 28 : Dynamic Binding (Polymorphism) - Part III
Link	NOC:Programming in C++	Lecture 44 - Module 29 : Dynamic Binding (Polymorphism) - Part IV
Link	NOC:Programming in C++	Lecture 45 - Module 30 : Dynamic Binding (Polymorphism) - Part V
Link	NOC:Programming in C++	Lecture 46 - Module 31 : Virtual Function Table
Link	NOC:Programming in C++	Lecture 47 - Module 32 : Type casting and cast operators - Part I
Link	NOC:Programming in C++	Lecture 48 - Module 33 : Type casting and cast operators - Part II
Link	NOC:Programming in C++	Lecture 49 - Module 34 : Type casting and cast operators - Part III
Link	NOC:Programming in C++	Lecture 50 - Module 35 : Multiple Inheritance
Link	NOC:Programming in C++	Lecture 51 - Module 35 : Multiple Inheritance (Continued...)
Link	NOC:Programming in C++	Lecture 52 - Module 36 : Exceptions (Error Handling in C) - Part I
Link	NOC:Programming in C++	Lecture 53 - Module 37 : Exceptions (Error Handling in C) - Part II
Link	NOC:Programming in C++	Lecture 54 - Module 38 : Template (Function Template) - Part I
Link	NOC:Programming in C++	Lecture 55 - Module 39 : Template (Function Template) - Part II
Link	NOC:Programming in C++	Lecture 56 - Module 40 : Closing Comments
Link	NOC:Introduction to Machine Learning	Lecture 1 - Introduction
Link	NOC:Introduction to Machine Learning	Lecture 2 - Different Types of Learning
Link	NOC:Introduction to Machine Learning	Lecture 3 - Hypothesis Space and Inductive Bias
Link	NOC:Introduction to Machine Learning	Lecture 4 - Evaluation and Cross-Validation
Link	NOC:Introduction to Machine Learning	Lecture 5 - Tutorial - I
Link	NOC:Introduction to Machine Learning	Lecture 6 - Linear Regression
Link	NOC:Introduction to Machine Learning	Lecture 7 - Introduction to Decision Trees
Link	NOC:Introduction to Machine Learning	Lecture 8 - Learning Decision Tree
Link	NOC:Introduction to Machine Learning	Lecture 9 - Overfitting
Link	NOC:Introduction to Machine Learning	Lecture 10 - Python Exercise on Decision Tree and Linear Regression
Link	NOC:Introduction to Machine Learning	Lecture 11 - Tutorial - II
Link	NOC:Introduction to Machine Learning	Lecture 12 - k-Nearest Neighbour
Link	NOC:Introduction to Machine Learning	Lecture 13 - Feature Selection
Link	NOC:Introduction to Machine Learning	Lecture 14 - Feature Extraction
Link	NOC:Introduction to Machine Learning	Lecture 15 - Collaborative Filtering
Link	NOC:Introduction to Machine Learning	Lecture 16 - Python Exercise on kNN and PCA
Link	NOC:Introduction to Machine Learning	Lecture 17 - Tutorial - III
Link	NOC:Introduction to Machine Learning	Lecture 18 - Bayesian Learning
Link	NOC:Introduction to Machine Learning	Lecture 19 - Naive Bayes
Link	NOC:Introduction to Machine Learning	Lecture 20 - Bayesian Network
Link	NOC:Introduction to Machine Learning	Lecture 21 - Python Exercise on Naive Bayes
Link	NOC:Introduction to Machine Learning	Lecture 22 - Tutorial - IV
Link	NOC:Introduction to Machine Learning	Lecture 23 - Logistic Regression
Link	NOC:Introduction to Machine Learning	Lecture 24 - Introduction Support Vector Machine
Link	NOC:Introduction to Machine Learning	Lecture 25 - SVM : The Dual Formulation
Link	NOC:Introduction to Machine Learning	Lecture 26 - SVM : Maximum Margin with Noise
Link	NOC:Introduction to Machine Learning	Lecture 27 - Nonlinear SVM and Kennel Function
Link	NOC:Introduction to Machine Learning	Lecture 28 - SVM : Solution to the Dual Problem
Link	NOC:Introduction to Machine Learning	Lecture 29 - Python Exercise on SVM
Link	NOC:Introduction to Machine Learning	Lecture 30 - Introduction
Link	NOC:Introduction to Machine Learning	Lecture 31 - Multilayer Neural Network
Link	NOC:Introduction to Machine Learning	Lecture 32 - Neural Network and Backpropagation Algorithm
Link	NOC:Introduction to Machine Learning	Lecture 33 - Deep Neural Network
Link	NOC:Introduction to Machine Learning	Lecture 34 - Python Exercise on Neural Network
Link	NOC:Introduction to Machine Learning	Lecture 35 - Tutorial - VI
Link	NOC:Introduction to Machine Learning	Lecture 36 - Introduction to Computational Learning Theory
Link	NOC:Introduction to Machine Learning	Lecture 37 - Sample Complexity : Finite Hypothesis Space
Link	NOC:Introduction to Machine Learning	Lecture 38 - VC Dimension
Link	NOC:Introduction to Machine Learning	Lecture 39 - Introduction to Ensembles
Link	NOC:Introduction to Machine Learning	Lecture 40 - Bagging and Boosting
Link	NOC:Introduction to Machine Learning	Lecture 41 - Introduction to Clustering
Link	NOC:Introduction to Machine Learning	Lecture 42 - Kmeans Clustering
Link	NOC:Introduction to Machine Learning	Lecture 43 - Agglomerative Hierarchical Clustering
Link	NOC:Introduction to Machine Learning	Lecture 44 - Python Exercise on kmeans clustering
Link	NOC:Object-Oriented Analysis and Design	Lecture 1 - Challanges in Software Engineering
Link	NOC:Object-Oriented Analysis and Design	Lecture 2 - Complexity of Software
Link	NOC:Object-Oriented Analysis and Design	Lecture 3 - Complexity of Software (Continued...)
Link	NOC:Object-Oriented Analysis and Design	Lecture 4 - Structure and Attributes of a Complex System
Link	NOC:Object-Oriented Analysis and Design	Lecture 5 - Structure and Attributes of a Complex System (Continued...)
Link	NOC:Object-Oriented Analysis and Design	Lecture 6 - Object-Oriented Analysis and Design
Link	NOC:Object-Oriented Analysis and Design	Lecture 7 - Bringing Order to Chaos
Link	NOC:Object-Oriented Analysis and Design	Lecture 8 - Bringing Order to Chaos (Continued...)
Link	NOC:Object-Oriented Analysis and Design	Lecture 9 - Evolution of Object Models - Programming Languages and Paradigms
Link	NOC:Object-Oriented Analysis and Design	Lecture 10 - Foundations of the Object Model - OOA, OOD and OOP
Link	NOC:Object-Oriented Analysis and Design	Lecture 11 - Foundations of the Object Model - OOA, OOD and OOP (Continued...)
Link	NOC:Object-Oriented Analysis and Design	Lecture 12 - Elements of Object Model (Major) : Abstraction and Encapsulation
Link	NOC:Object-Oriented Analysis and Design	Lecture 13 - Elements of Object Model (Major) : Abstraction and Encapsulation (Continued...)
Link	NOC:Object-Oriented Analysis and Design	Lecture 14 - Elements of the Object Model (Major) : Modularity and Hierarchy
Link	NOC:Object-Oriented Analysis and Design	Lecture 15 - Elements of the Object Model (Major) : Modularity and Hierarchy (Continued...)
Link	NOC:Object-Oriented Analysis and Design	Lecture 16 - Elements of the Object Model (Minor) : Typing, Concurrency and Persistence
Link	NOC:Object-Oriented Analysis and Design	Lecture 17 - Elements of the Object Model (Minor) : Typing, Concurrency and Persistence (Continued...)
Link	NOC:Object-Oriented Analysis and Design	Lecture 18 - Nature of an object : State, Behavior and Identity
Link	NOC:Object-Oriented Analysis and Design	Lecture 19 - Nature of an object : State, Behavior and Identity (Continued...)
Link	NOC:Object-Oriented Analysis and Design	Lecture 20 - Relationships among objects
Link	NOC:Object-Oriented Analysis and Design	Lecture 21 - Relationships among objects (Continued...)
Link	NOC:Object-Oriented Analysis and Design	Lecture 22 - Nature of a class : Interface and Implementation
Link	NOC:Object-Oriented Analysis and Design	Lecture 23 - Nature of a class : Interface and Implementation (Continued...)
Link	NOC:Object-Oriented Analysis and Design	Lecture 24 - Relationships among classes
Link	NOC:Object-Oriented Analysis and Design	Lecture 25 - Relationships among classes (Continued...)
Link	NOC:Object-Oriented Analysis and Design	Lecture 26 - How to Build Quality Classes and Objects
Link	NOC:Object-Oriented Analysis and Design	Lecture 27 - Tutorial : LMS
Link	NOC:Object-Oriented Analysis and Design	Lecture 28 - How to Identify Classes and Objects ?
Link	NOC:Object-Oriented Analysis and Design	Lecture 29 - Identification of Classes, Objects and Relationship in LMS
Link	NOC:Object-Oriented Analysis and Design	Lecture 30 - Identification of Classes, Objects and Relationship in LMS (Continued...)
Link	NOC:Object-Oriented Analysis and Design	Lecture 31 - Identification of Classes, Objects and Relationship in LMS (Continued...)
Link	NOC:Object-Oriented Analysis and Design	Lecture 32 - Identification of Classes, Objects and Relationship in LMS (Continued...)
Link	NOC:Object-Oriented Analysis and Design	Lecture 33 - Overview of UML
Link	NOC:Object-Oriented Analysis and Design	Lecture 34 - SDLC Phases and UML Diagrams
Link	NOC:Object-Oriented Analysis and Design	Lecture 35 - Use-Case Diagrams - Part I
Link	NOC:Object-Oriented Analysis and Design	Lecture 36 - Use-Case Diagrams - Part II
Link	NOC:Object-Oriented Analysis and Design	Lecture 37 - Use-Case Diagrams - Part III
Link	NOC:Object-Oriented Analysis and Design	Lecture 38 - Class Diagrams - Part 1 (Class, Property and Operation)
Link	NOC:Object-Oriented Analysis and Design	Lecture 39 - Class Diagrams - Part 2 (Association, Weak and Strong Aggregation)
Link	NOC:Object-Oriented Analysis and Design	Lecture 40 - Class Diagrams - Part 3 (Generalization, Dependency and Constraints)
Link	NOC:Object-Oriented Analysis and Design	Lecture 41 - Sequence Diagrams - Part 1
Link	NOC:Object-Oriented Analysis and Design	Lecture 42 - Sequence Diagrams - Part 2
Link	NOC:Object-Oriented Analysis and Design	Lecture 43 - Communication Diagram
Link	NOC:Object-Oriented Analysis and Design	Lecture 44 - Activity Diagrams - Part II
Link	NOC:Object-Oriented Analysis and Design	Lecture 45 - Activity Diagrams - Part II
Link	NOC:Object-Oriented Analysis and Design	Lecture 46 - Activity Diagrams - Part III
Link	NOC:Object-Oriented Analysis and Design	Lecture 47 - Interaction Overview Diagram
Link	NOC:Object-Oriented Analysis and Design	Lecture 48 - State Machine Diagrams - Part I
Link	NOC:Object-Oriented Analysis and Design	Lecture 49 - State Machine Diagrams - Part II
Link	NOC:Object-Oriented Analysis and Design	Lecture 50 - State Machine Diagrams - Part III
Link	NOC:Object-Oriented Analysis and Design	Lecture 51 - Various UML Diagrams
Link	NOC:Object-Oriented Analysis and Design	Lecture 52 - Closing Comments
Link	NOC:Complex Network : Theory and Application	Lecture 1 - Introduction
Link	NOC:Complex Network : Theory and Application	Lecture 2 - Network Analysis - I
Link	NOC:Complex Network : Theory and Application	Lecture 3 - Network Analysis - II
Link	NOC:Complex Network : Theory and Application	Lecture 4 - Network Analysis - III
Link	NOC:Complex Network : Theory and Application	Lecture 5 - Network Analysis - IV
Link	NOC:Complex Network : Theory and Application	Lecture 6 - Network Analysis - V
Link	NOC:Complex Network : Theory and Application	Lecture 7 - Network Analysis - VI
Link	NOC:Complex Network : Theory and Application	Lecture 8 - Social Network Principles - I
Link	NOC:Complex Network : Theory and Application	Lecture 9 - Social Network Principles - II
Link	NOC:Complex Network : Theory and Application	Lecture 10 - Social Network Principles - III
Link	NOC:Complex Network : Theory and Application	Lecture 11 - Social Network Principles - IV
Link	NOC:Complex Network : Theory and Application	Lecture 12 - Community Analysis - I
Link	NOC:Complex Network : Theory and Application	Lecture 13 - Community Analysis - II
Link	NOC:Complex Network : Theory and Application	Lecture 14 - Community Analysis - III
Link	NOC:Complex Network : Theory and Application	Lecture 15 - Community Analysis - IV
Link	NOC:Complex Network : Theory and Application	Lecture 16 - Community Analysis - V
Link	NOC:Complex Network : Theory and Application	Lecture 17 - Community Analysis - VI
Link	NOC:Complex Network : Theory and Application	Lecture 18 - Citation Analysis - I
Link	NOC:Complex Network : Theory and Application	Lecture 19 - Citation Analysis - II
Link	NOC:Complex Network : Theory and Application	Lecture 20 - Citation Analysis - III
Link	NOC:Complex Network : Theory and Application	Lecture 21 - Citation Analysis - IV
Link	Fundamental Algorithms:Design and Analysis	Lecture 1 - Insertion Sort and Asymptotic Analysis
Link	Fundamental Algorithms:Design and Analysis	Lecture 2 - Solving Recurrences
Link	Fundamental Algorithms:Design and Analysis	Lecture 3 - Divide and Conquer Paradigm
Link	Fundamental Algorithms:Design and Analysis	Lecture 4 - Quick Sort
Link	Fundamental Algorithms:Design and Analysis	Lecture 5 - Heap Sort
Link	Fundamental Algorithms:Design and Analysis	Lecture 6 - Decision Tree
Link	Fundamental Algorithms:Design and Analysis	Lecture 7 - Linear Time Sorting
Link	Fundamental Algorithms:Design and Analysis	Lecture 8 - Order Statistics
Link	Fundamental Algorithms:Design and Analysis	Lecture 9 - Hashing
Link	Fundamental Algorithms:Design and Analysis	Lecture 10 - Universal Hashing, BST Sort
Link	Fundamental Algorithms:Design and Analysis	Lecture 11 - Red-Black Tree
Link	Fundamental Algorithms:Design and Analysis	Lecture 12 - Augmenting Data Structure
Link	Fundamental Algorithms:Design and Analysis	Lecture 13 - Computational Geometry
Link	Fundamental Algorithms:Design and Analysis	Lecture 14 - Van Emde Boas Data Structure
Link	Fundamental Algorithms:Design and Analysis	Lecture 15 - Dynamic Programming
Link	Fundamental Algorithms:Design and Analysis	Lecture 16 - Graph Algorithm
Link	Fundamental Algorithms:Design and Analysis	Lecture 17 - BFS and DFS
Link	Fundamental Algorithms:Design and Analysis	Lecture 18 - Dijkstra
Link	Fundamental Algorithms:Design and Analysis	Lecture 19 - Bellman Ford
Link	Fundamental Algorithms:Design and Analysis	Lecture 20 - Floyd Marshall
Link	NOC:Natural Language Processing	Lecture 1 - Introduction to the Course
Link	NOC:Natural Language Processing	Lecture 2 - What Do We Do in NLP
Link	NOC:Natural Language Processing	Lecture 3 - Why is NLP hard
Link	NOC:Natural Language Processing	Lecture 4 - Empirical Laws
Link	NOC:Natural Language Processing	Lecture 5 - Text Processing: Basics
Link	NOC:Natural Language Processing	Lecture 6 - Spelling Correction: Edit Distance
Link	NOC:Natural Language Processing	Lecture 7 - Weighted Edit Distance, Other Variations
Link	NOC:Natural Language Processing	Lecture 8 - Noisy Channel Model for Spelling Correction
Link	NOC:Natural Language Processing	Lecture 9 - N-Gram Language Models
Link	NOC:Natural Language Processing	Lecture 10 - Evaluation of Language Models, Basic Smoothing
Link	NOC:Natural Language Processing	Lecture 11 - Tutorial I
Link	NOC:Natural Language Processing	Lecture 12 - Language Modeling: Advanced Smoothing Models
Link	NOC:Natural Language Processing	Lecture 13 - Computational Morphology
Link	NOC:Natural Language Processing	Lecture 14 - Finite - State Methods for Morphology
Link	NOC:Natural Language Processing	Lecture 15 - Introduction to POS Tagging
Link	NOC:Natural Language Processing	Lecture 16 - Hidden Markov Models for POS Tagging
Link	NOC:Natural Language Processing	Lecture 17 - Viterbi Decoding for HMM, Parameter Learning
Link	NOC:Natural Language Processing	Lecture 18 - Baum Welch Algorithm
Link	NOC:Natural Language Processing	Lecture 19 - Maximum Entropy Models - I
Link	NOC:Natural Language Processing	Lecture 20 - Maximum Entropy Models - II
Link	NOC:Natural Language Processing	Lecture 21 - Conditional Random Fields
Link	NOC:Natural Language Processing	Lecture 22 - Syntax - Introduction
Link	NOC:Natural Language Processing	Lecture 23 - Syntax - Parsing I
Link	NOC:Natural Language Processing	Lecture 24 - Syntax - CKY, PCFGs
Link	NOC:Natural Language Processing	Lecture 25 - PCFGs - Inside-Outside Probabilities
Link	NOC:Natural Language Processing	Lecture 26 - Inside-Outside Probabilities
Link	NOC:Natural Language Processing	Lecture 27 - Dependency Grammars and Parsing - Introduction
Link	NOC:Natural Language Processing	Lecture 28 - Transition Based Parsing : Formulation
Link	NOC:Natural Language Processing	Lecture 29 - Transition Based Parsing : Learning
Link	NOC:Natural Language Processing	Lecture 30 - MST-Based Dependency Parsing
Link	NOC:Natural Language Processing	Lecture 31 - MST-Based Dependency Parsing : Learning
Link	NOC:Natural Language Processing	Lecture 32 - Distributional Semantics - Introduction
Link	NOC:Natural Language Processing	Lecture 33 - Distributional Models of Semantics
Link	NOC:Natural Language Processing	Lecture 34 - Distributional Semantics : Applications, Structured Models
Link	NOC:Natural Language Processing	Lecture 35 - Word Embeddings - Part I
Link	NOC:Natural Language Processing	Lecture 36 - Word Embeddings - Part II
Link	NOC:Natural Language Processing	Lecture 37 - Lexical Semantics
Link	NOC:Natural Language Processing	Lecture 38 - Lexical Semantics - Wordnet
Link	NOC:Natural Language Processing	Lecture 39 - Word Sense Disambiguation - I
Link	NOC:Natural Language Processing	Lecture 40 - Word Sense Disambiguation - II
Link	NOC:Natural Language Processing	Lecture 41 - Novel Word Sense detection
Link	NOC:Natural Language Processing	Lecture 42 - Topic Models : Introduction
Link	NOC:Natural Language Processing	Lecture 43 - Latent Dirichlet Allocation : Formulation
Link	NOC:Natural Language Processing	Lecture 44 - Gibbs Sampling for LDA, Applications
Link	NOC:Natural Language Processing	Lecture 45 - LDA Variants and Applications - I
Link	NOC:Natural Language Processing	Lecture 46 - LDA Variants and Applications - II
Link	NOC:Natural Language Processing	Lecture 47 - Entity Linking - I
Link	NOC:Natural Language Processing	Lecture 48 - Entity Linking - II
Link	NOC:Natural Language Processing	Lecture 49 - Information Extraction - Introduction
Link	NOC:Natural Language Processing	Lecture 50 - Relation Extraction
Link	NOC:Natural Language Processing	Lecture 51 - Distant Supervision
Link	NOC:Natural Language Processing	Lecture 52 - Text Summarization - LEXRANK
Link	NOC:Natural Language Processing	Lecture 53 - Optimization based Approaches for Summarization
Link	NOC:Natural Language Processing	Lecture 54 - Summarization Evaluation
Link	NOC:Natural Language Processing	Lecture 55 - Text Classification - I
Link	NOC:Natural Language Processing	Lecture 56 - Text Classification - II
Link	NOC:Natural Language Processing	Lecture 57 - Tutorial II
Link	NOC:Natural Language Processing	Lecture 58 - Tutorial III
Link	NOC:Natural Language Processing	Lecture 59 - Tutorial IV
Link	NOC:Natural Language Processing	Lecture 60 - Tutorial V
Link	NOC:Natural Language Processing	Lecture 61 - Sentiment Analysis - Introduction
Link	NOC:Natural Language Processing	Lecture 62 - Sentiment Analysis - Affective Lexicons
Link	NOC:Natural Language Processing	Lecture 63 - Learning Affective Lexicons
Link	NOC:Natural Language Processing	Lecture 64 - Computing with Affective Lexicons
Link	NOC:Natural Language Processing	Lecture 65 - Aspect - Based Sentiment Analysis
Link	NOC:Embedded Systems Design	Lecture 1 - Introduction
Link	NOC:Embedded Systems Design	Lecture 2 - Processors
Link	NOC:Embedded Systems Design	Lecture 3 - General Purpose and ASIPs Processor
Link	NOC:Embedded Systems Design	Lecture 4 - Designing a Single Purpose Processor
Link	NOC:Embedded Systems Design	Lecture 5 - Optimization Issues
Link	NOC:Embedded Systems Design	Lecture 6 - Introduction to FPFA
Link	NOC:Embedded Systems Design	Lecture 7 - FPGA (Continued...)
Link	NOC:Embedded Systems Design	Lecture 8 - Behaviour Synthesis on FPGA using VHDL
Link	NOC:Embedded Systems Design	Lecture 9 - Tutorial - I
Link	NOC:Embedded Systems Design	Lecture 10 - Tutorial - II
Link	NOC:Embedded Systems Design	Lecture 11 - Tutorial - III
Link	NOC:Embedded Systems Design	Lecture 12 - Tutorial - IV
Link	NOC:Embedded Systems Design	Lecture 13 - Sensors and Signals
Link	NOC:Embedded Systems Design	Lecture 14 - Discretization of Signals and A/D Converter
Link	NOC:Embedded Systems Design	Lecture 15 - Quantization Noise, SNR and D/A Converter
Link	NOC:Embedded Systems Design	Lecture 16 - Arduino Uno
Link	NOC:Embedded Systems Design	Lecture 17 - Arduino Uno (Continued...), Serial Communication and Timer
Link	NOC:Embedded Systems Design	Lecture 18 - Controller Design using Arduino
Link	NOC:Embedded Systems Design	Lecture 19 - Tutorial - V
Link	NOC:Embedded Systems Design	Lecture 20 - Power Aware Embedded System - I
Link	NOC:Embedded Systems Design	Lecture 21 - Power Aware Embedded System - II
Link	NOC:Embedded Systems Design	Lecture 22 - SD and DD Algorithm
Link	NOC:Embedded Systems Design	Lecture 23 - Parallel Operations and VLIW
Link	NOC:Embedded Systems Design	Lecture 24 - Code Efficiency
Link	NOC:Embedded Systems Design	Lecture 25 - DSP Application and Address Generation Unit
Link	NOC:Embedded Systems Design	Lecture 26 - Real Time O.S - I
Link	NOC:Embedded Systems Design	Lecture 27 - Real Time O.S - II
Link	NOC:Embedded Systems Design	Lecture 28 - RMS Algorithm
Link	NOC:Embedded Systems Design	Lecture 29 - EDF Algorithm and Resource Constraint Issue
Link	NOC:Embedded Systems Design	Lecture 30 - Priority Inversion and Priority Inheritance Protocol
Link	NOC:Embedded Systems Design	Lecture 31 - Modeling and Specification - I
Link	NOC:Embedded Systems Design	Lecture 32 - Modeling and Specification - II
Link	NOC:Embedded Systems Design	Lecture 33 - FSM and Statechart
Link	NOC:Embedded Systems Design	Lecture 34 - Statechart and Statemate Semantics
Link	NOC:Embedded Systems Design	Lecture 35 - Statecharts (Continued...)
Link	NOC:Embedded Systems Design	Lecture 36 - Program State Machines
Link	NOC:Embedded Systems Design	Lecture 37 - SDL
Link	NOC:Embedded Systems Design	Lecture 38 - Data Flow Model - I
Link	NOC:Embedded Systems Design	Lecture 39 - Data Flow Model - II
Link	NOC:Embedded Systems Design	Lecture 40 - Hardware Synthesis - I
Link	NOC:Embedded Systems Design	Lecture 41 - Hardware Synthesis - II
Link	NOC:Embedded Systems Design	Lecture 42 - Scheduling
Link	NOC:Embedded Systems Design	Lecture 43 - Digital Camera Design
Link	NOC:Embedded Systems Design	Lecture 44 - Digital Camera - Iterative Design
Link	NOC:Embedded Systems Design	Lecture 45 - HW-SW Partitioning
Link	NOC:Embedded Systems Design	Lecture 46 - Optimization - I
Link	NOC:Embedded Systems Design	Lecture 47 - Optimization - II
Link	NOC:Embedded Systems Design	Lecture 48 - Simulation
Link	NOC:Embedded Systems Design	Lecture 49 - Formal Verification
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 1 - Introduction: Wireless Ad Hoc Networks - Part-I
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 2 - Introduction: Wireless Ad Hoc Networks - Part-II
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 3 - Self-organizing Behaviour of Wireless Ad Hoc Networks
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 4 - Cooperation in Mobile Ad Hoc Networks - Part-I
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 5 - Cooperation in Mobile Ad Hoc Networks - Part-II
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 6 - MAC Protocols in MANETs - Part-I
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 7 - MAC Protocols in MANETs - Part-II
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 8 - Routing in MANETs - Part-I
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 9 - Routing in MANETs - Part-II
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 10 - Routing in MANETs - Part-III
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 11 - Multicasting in MANETs
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 12 - Mobility Models for MANETs
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 13 - Transport Protocols for MANETs - Part-I
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 14 - Transport Protocols for MANETs - Part-II
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 15 - Opportunistic Mobile Networks - Part-I
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 16 - Opportunistic Mobile Networks - Part-II
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 17 - Opportunistic Mobile Networks - Part-III
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 18 - UAV Networks - Part-I
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 19 - UAV Networks - Part-II
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 20 - UAV Networks - Part-III
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 21 - Introduction: Wireless Sensor Networks - Part-I
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 22 - Introduction: Wireless Sensor Networks - Part-II
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 23 - WSN Coverage and Placement - Part-I
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 24 - Topology Mangement in Wireless Sensor Network
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 25 - Mobile Wireless Sensor Networks
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 26 - Mobile Wireless Sensor Networks
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 27 - Medium Access Control in Wireless Networks - Part-I
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 28 - Medium Access Control in Wireless Networks - Part-II
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 29 - Routing in Wireless Sensor Networks - Part-I
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 30 - Routing in Wireless Sensor Networks - Part-II
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 31 - Congestion and Flow Control - Part-I
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 32 - Congestion and Flow Control - Part-II
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 33 - Underwater Sensor Networks - Part-I
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 34 - Underwater Sensor Networks - Part-II
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 35 - Underwater Sensor Networks - Part-III
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 36 - Underwater Sensor Networks - Part-IV
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 37 - Security of Wireless Sensor Networks - Part-I
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 38 - Security of Wireless Sensor Networks - Part-II
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 39 - Hardware Design of Sensor Node
Link	NOC:Wireless Ad Hoc and Sensor Networks	Lecture 40 - Real Life Deployment of WSN
Link	NOC:VLSI Physical Design	Lecture 1 - Introduction
Link	NOC:VLSI Physical Design	Lecture 2 - Design Representation
Link	NOC:VLSI Physical Design	Lecture 3 - VLSI Design Styles - Part 1
Link	NOC:VLSI Physical Design	Lecture 4 - VLSI Design Styles - Part 2
Link	NOC:VLSI Physical Design	Lecture 5 - VLSI Physical Design Automation - Part 1
Link	NOC:VLSI Physical Design	Lecture 6 - VLSI Physical Design Automation - Part 2
Link	NOC:VLSI Physical Design	Lecture 7 - Partitioning
Link	NOC:VLSI Physical Design	Lecture 8 - Floor planning
Link	NOC:VLSI Physical Design	Lecture 9 - Floor planning Algorithms
Link	NOC:VLSI Physical Design	Lecture 10 - Pin Assignment
Link	NOC:VLSI Physical Design	Lecture 11 - Placement - Part 1
Link	NOC:VLSI Physical Design	Lecture 12 - Placement - Part 2
Link	NOC:VLSI Physical Design	Lecture 13 - Placement - Part 3
Link	NOC:VLSI Physical Design	Lecture 14 - Placement - Part 4
Link	NOC:VLSI Physical Design	Lecture 15 - Grid Routing - Part 1
Link	NOC:VLSI Physical Design	Lecture 16 - Grid Routing - Part 2
Link	NOC:VLSI Physical Design	Lecture 17 - Grid Routing - Part 3
Link	NOC:VLSI Physical Design	Lecture 18 - Global Routing - Part 1
Link	NOC:VLSI Physical Design	Lecture 19 - Global Routing - Part 2
Link	NOC:VLSI Physical Design	Lecture 20 - Detailed Routing - Part 1
Link	NOC:VLSI Physical Design	Lecture 21 - Detailed Routing - Part 2
Link	NOC:VLSI Physical Design	Lecture 22 - Detailed Routing - Part 3
Link	NOC:VLSI Physical Design	Lecture 23 - Detailed Routing - Part 4
Link	NOC:VLSI Physical Design	Lecture 24 - Clock Design - Part 1
Link	NOC:VLSI Physical Design	Lecture 25 - Clock Design - Part 2
Link	NOC:VLSI Physical Design	Lecture 26 - Clock Design - Part 3
Link	NOC:VLSI Physical Design	Lecture 27 - Clock Network Synthesis - Part 1
Link	NOC:VLSI Physical Design	Lecture 28 - Clock Network Synthesis - Part 2
Link	NOC:VLSI Physical Design	Lecture 29 - Clock Network Synthesis - Part 3
Link	NOC:VLSI Physical Design	Lecture 30 - Clock Network Synthesis - Part 4
Link	NOC:VLSI Physical Design	Lecture 31 - Power and Ground Routing
Link	NOC:VLSI Physical Design	Lecture 32 - Time Closure - Part 1
Link	NOC:VLSI Physical Design	Lecture 33 - Time Closure - Part 2
Link	NOC:VLSI Physical Design	Lecture 34 - Time Closure - Part 3
Link	NOC:VLSI Physical Design	Lecture 35 - Time Closure - Part 4
Link	NOC:VLSI Physical Design	Lecture 36 - Time Closure - Part 5
Link	NOC:VLSI Physical Design	Lecture 37 - Timing Driven Placement
Link	NOC:VLSI Physical Design	Lecture 38 - Timing Driven Routing
Link	NOC:VLSI Physical Design	Lecture 39 - Physical Synthesis - Part 1
Link	NOC:VLSI Physical Design	Lecture 40 - Physical Synthesis - Part 2
Link	NOC:VLSI Physical Design	Lecture 41 - Performance-Driven Design Flow
Link	NOC:VLSI Physical Design	Lecture 42 - Miscellaneous Approaches to Timing Optimization
Link	NOC:VLSI Physical Design	Lecture 43 - Interconnect Modeling - Part 1
Link	NOC:VLSI Physical Design	Lecture 44 - Interconnect Modeling - Part 2
Link	NOC:VLSI Physical Design	Lecture 45 - Design Rule Check
Link	NOC:VLSI Physical Design	Lecture 46 - Layout Compaction - Part 1
Link	NOC:VLSI Physical Design	Lecture 47 - Layout Compaction - Part 2
Link	NOC:VLSI Physical Design	Lecture 48
Link	NOC:VLSI Physical Design	Lecture 49
Link	NOC:VLSI Physical Design	Lecture 50
Link	NOC:VLSI Physical Design	Lecture 51
Link	NOC:VLSI Physical Design	Lecture 52
Link	NOC:VLSI Physical Design	Lecture 53 - Test Pattern Generation
Link	NOC:VLSI Physical Design	Lecture 54 - Design for Testability
Link	NOC:VLSI Physical Design	Lecture 55 - Boundary Scan Standard
Link	NOC:VLSI Physical Design	Lecture 56 - Built-in Self-Test - Part 1
Link	NOC:VLSI Physical Design	Lecture 57 - Built-in Self-Test - Part 2
Link	NOC:VLSI Physical Design	Lecture 58 - Low Power VLSI Design
Link	NOC:VLSI Physical Design	Lecture 59 - Techniques to Reduce Power
Link	NOC:VLSI Physical Design	Lecture 60 - Gate Level Design for Low Power - Part 1
Link	NOC:VLSI Physical Design	Lecture 61 - Gate Level Design for Low Power - Part 2
Link	NOC:VLSI Physical Design	Lecture 62 - Other Low Power Design Techniques
Link	NOC:VLSI Physical Design	Lecture 63 - Algorithmic Level Techniques for Low Power Design
Link	NOC:VLSI Physical Design	Lecture 64 - Summarization of the Course
Link	NOC:Cryptography And Network Security	Lecture 1 - Introduction to Cryptography
Link	NOC:Cryptography And Network Security	Lecture 2 - Classical Cryptosystem
Link	NOC:Cryptography And Network Security	Lecture 3 - Cryptanalysis on Substitution Cipher (Frequency Analysis)
Link	NOC:Cryptography And Network Security	Lecture 4 - Play Fair Cipher
Link	NOC:Cryptography And Network Security	Lecture 5 - Block Cipher
Link	NOC:Cryptography And Network Security	Lecture 6 - Data Encryption Standard (DES)
Link	NOC:Cryptography And Network Security	Lecture 7 - DES (Continued...)
Link	NOC:Cryptography And Network Security	Lecture 8 - Triple DES and Modes of Operation
Link	NOC:Cryptography And Network Security	Lecture 9 - Stream Cipher
Link	NOC:Cryptography And Network Security	Lecture 10 - Pseudorandom Sequence
Link	NOC:Cryptography And Network Security	Lecture 11 - LFSR Based StreamCipher
Link	NOC:Cryptography And Network Security	Lecture 12 - Mathematical Background
Link	NOC:Cryptography And Network Security	Lecture 13 - Abstract Algebra (Continued...)
Link	NOC:Cryptography And Network Security	Lecture 14 - Number Theory
Link	NOC:Cryptography And Network Security	Lecture 15 - Number Theory (Continued...)
Link	NOC:Cryptography And Network Security	Lecture 16 - Modular Inverse
Link	NOC:Cryptography And Network Security	Lecture 17 - Extended Euclidean Algorithm
Link	NOC:Cryptography And Network Security	Lecture 18 - Fermat's Little Theorem, Euler Phi-Function
Link	NOC:Cryptography And Network Security	Lecture 19 - Euler's theorem, Quadratic Residue
Link	NOC:Cryptography And Network Security	Lecture 20 - Polynomial Arithmetic
Link	NOC:Cryptography And Network Security	Lecture 21 - Advanced Encryption Standard (AES)
Link	NOC:Cryptography And Network Security	Lecture 22 - Advanced Encryption Standard (AES) (Continued...)
Link	NOC:Cryptography And Network Security	Lecture 23 - Introduction to Public Key Cryptosystem, Diffie-Hellman Key Exchange
Link	NOC:Cryptography And Network Security	Lecture 24 - Knapsack Cryptosystem
Link	NOC:Cryptography And Network Security	Lecture 25 - RSA Cryptosystem
Link	NOC:Cryptography And Network Security	Lecture 26 - More on RSA
Link	NOC:Cryptography And Network Security	Lecture 27 - Primarily Testing
Link	NOC:Cryptography And Network Security	Lecture 28 - ElGamal Cryptosystem
Link	NOC:Cryptography And Network Security	Lecture 29 - Elliptic Curve over the Reals
Link	NOC:Cryptography And Network Security	Lecture 30 - Elliptic curve Modulo a Prime
Link	NOC:Cryptography And Network Security	Lecture 31 - Generalised ElGamal Public Key Cryptosystem
Link	NOC:Cryptography And Network Security	Lecture 32 - Chinese Remainder Theorem
Link	NOC:Cryptography And Network Security	Lecture 33 - Rabin Cryptosystem
Link	NOC:Cryptography And Network Security	Lecture 34 - Legendre and Jacobi Symbol
Link	NOC:Cryptography And Network Security	Lecture 35 - Jacobi Symbol (Continued...)
Link	NOC:Cryptography And Network Security	Lecture 36 - Message Authentication
Link	NOC:Cryptography And Network Security	Lecture 37 - Digital Signature
Link	NOC:Cryptography And Network Security	Lecture 38 - Key Management
Link	NOC:Cryptography And Network Security	Lecture 39 - Key Exchange
Link	NOC:Cryptography And Network Security	Lecture 40 - Hash Function
Link	NOC:Cryptography And Network Security	Lecture 41 - Universal Hashing
Link	NOC:Cryptography And Network Security	Lecture 42 - Cryptographic Hash Function
Link	NOC:Cryptography And Network Security	Lecture 43 - Secure Hash Algorithm (SHA)
Link	NOC:Cryptography And Network Security	Lecture 44 - Digital Signature Standard (DSS)
Link	NOC:Cryptography And Network Security	Lecture 45 - More on Key Exchange Protocol
Link	NOC:Cryptography And Network Security	Lecture 46 - Cryptoanalisis
Link	NOC:Cryptography And Network Security	Lecture 47 - Memory Trade off Attack
Link	NOC:Cryptography And Network Security	Lecture 48 - Differential Cryptoanalysis
Link	NOC:Cryptography And Network Security	Lecture 49 - More on Differential Cryptoanalysis
Link	NOC:Cryptography And Network Security	Lecture 50 - Linear Cryptoanalysis
Link	NOC:Cryptography And Network Security	Lecture 51 - Cryptoanalysis and Stream Cipher
Link	NOC:Cryptography And Network Security	Lecture 52 - Modern Stream Cipher
Link	NOC:Cryptography And Network Security	Lecture 53 - Shamir Secret Sharing
Link	NOC:Cryptography And Network Security	Lecture 54 - Identity Based Eneryption (IBE)
Link	NOC:Cryptography And Network Security	Lecture 55 - Attribute Based Encryption
Link	NOC:Cryptography And Network Security	Lecture 56 - Functional Encryption (Introduction)
Link	NOC:Cryptography And Network Security	Lecture 57 - Discrete Logarithm Problem (DLP)
Link	NOC:Cryptography And Network Security	Lecture 58 - Implementation Attacks
Link	NOC:Cryptography And Network Security	Lecture 59 - The Secure Sockets layer (SSL)
Link	NOC:Cryptography And Network Security	Lecture 60 - Pretty Good Privacy (PGP)
Link	NOC:Computer Architecture and Organization	Lecture 1 - Evolution of Computer Systems
Link	NOC:Computer Architecture and Organization	Lecture 2 - Basic Operation of a Computer
Link	NOC:Computer Architecture and Organization	Lecture 3 - Memory Addressing and Languages
Link	NOC:Computer Architecture and Organization	Lecture 4 - Software and Architecture Types
Link	NOC:Computer Architecture and Organization	Lecture 5 - Instruction Set Architecture
Link	NOC:Computer Architecture and Organization	Lecture 6 - Number Representation
Link	NOC:Computer Architecture and Organization	Lecture 7 - Instruction Format and Addressing Modes
Link	NOC:Computer Architecture and Organization	Lecture 8 - CISC and RISC Architecture
Link	NOC:Computer Architecture and Organization	Lecture 9 - MIPS32 Instruction Set
Link	NOC:Computer Architecture and Organization	Lecture 10 - MIPS Programming Examples
Link	NOC:Computer Architecture and Organization	Lecture 11 - Spim – A Mips32 Simulator
Link	NOC:Computer Architecture and Organization	Lecture 12 - Measuring Cpu Performance
Link	NOC:Computer Architecture and Organization	Lecture 13 - Choice Of Benchmarks
Link	NOC:Computer Architecture and Organization	Lecture 14 - Summarizing Performance Results
Link	NOC:Computer Architecture and Organization	Lecture 15 - Amadahl’s Law - Part 1
Link	NOC:Computer Architecture and Organization	Lecture 16 - Amadahl’s Law - Part 2
Link	NOC:Computer Architecture and Organization	Lecture 17 - Design Of Control Unit - Part 1
Link	NOC:Computer Architecture and Organization	Lecture 18 - Design Of Control Unit - Part 2
Link	NOC:Computer Architecture and Organization	Lecture 19 - Design Of Control Unit - Part 3
Link	NOC:Computer Architecture and Organization	Lecture 20 - Design Of Control Unit - Part 4
Link	NOC:Computer Architecture and Organization	Lecture 21 - Mips Implementation - Part 1
Link	NOC:Computer Architecture and Organization	Lecture 22 - Mips Implementation - Part 2
Link	NOC:Computer Architecture and Organization	Lecture 23 - Processor Memory Interaction
Link	NOC:Computer Architecture and Organization	Lecture 24 - Static And Dynamic Ram
Link	NOC:Computer Architecture and Organization	Lecture 25 - Asynchronous Dram
Link	NOC:Computer Architecture and Organization	Lecture 26 - Synchronous Dram
Link	NOC:Computer Architecture and Organization	Lecture 27 - Memory Interfacing And Addressing
Link	NOC:Computer Architecture and Organization	Lecture 28 - Memory Hierarchy Design - Part 1
Link	NOC:Computer Architecture and Organization	Lecture 29 - Memory Hierarchy Design - Part 2
Link	NOC:Computer Architecture and Organization	Lecture 30 - Cache Memory - Part 1
Link	NOC:Computer Architecture and Organization	Lecture 31 - Cache Memory - Part 2
Link	NOC:Computer Architecture and Organization	Lecture 32 - Improving Cache Performance
Link	NOC:Computer Architecture and Organization	Lecture 33 - Design Of Adders - Part 1
Link	NOC:Computer Architecture and Organization	Lecture 34 - Design Of Adders - Part 2
Link	NOC:Computer Architecture and Organization	Lecture 35 - Design Of Multipliers - Part 1
Link	NOC:Computer Architecture and Organization	Lecture 36 - Design Of Multipliers - Part 2
Link	NOC:Computer Architecture and Organization	Lecture 37 - Design Of Dividers
Link	NOC:Computer Architecture and Organization	Lecture 38 - Floating-Point Numbers
Link	NOC:Computer Architecture and Organization	Lecture 39 - Floating-Point Arithmetic
Link	NOC:Computer Architecture and Organization	Lecture 40 - Basic Pipelining Concepts
Link	NOC:Computer Architecture and Organization	Lecture 41 - Pipeline Scheduling
Link	NOC:Computer Architecture and Organization	Lecture 42 - Arithmetic Pipeline
Link	NOC:Computer Architecture and Organization	Lecture 43 - Secondary Storage Devices
Link	NOC:Computer Architecture and Organization	Lecture 44 - Input-Output Organization
Link	NOC:Computer Architecture and Organization	Lecture 45 - Data Transfer Techniques
Link	NOC:Computer Architecture and Organization	Lecture 46 - Interrupt Handling - Part 1
Link	NOC:Computer Architecture and Organization	Lecture 47 - Interrupt Handling - Part 2
Link	NOC:Computer Architecture and Organization	Lecture 48 - Direct Memory Access
Link	NOC:Computer Architecture and Organization	Lecture 49 - Some Example Device Interfacing
Link	NOC:Computer Architecture and Organization	Lecture 50 - Exercises On I/O Transfer
Link	NOC:Computer Architecture and Organization	Lecture 51 - Bus Standards
Link	NOC:Computer Architecture and Organization	Lecture 52 - Bus Standards
Link	NOC:Computer Architecture and Organization	Lecture 53 - Pipelining The Mips32 Data Path
Link	NOC:Computer Architecture and Organization	Lecture 54 - Mips Pipeline (Continued...
Link	NOC:Computer Architecture and Organization	Lecture 55 - Pipeline Hazards - Part 1
Link	NOC:Computer Architecture and Organization	Lecture 56 - Pipeline Hazards - Part 2
Link	NOC:Computer Architecture and Organization	Lecture 57 - Pipeline Hazards - Part 3
Link	NOC:Computer Architecture and Organization	Lecture 58 - Pipeline Hazards - Part 4
Link	NOC:Computer Architecture and Organization	Lecture 59 - Multicycle Operations In Mips32
Link	NOC:Computer Architecture and Organization	Lecture 60 - Exploiting Instruction Level Parallelism
Link	NOC:Computer Architecture and Organization	Lecture 61 - Vector Processors
Link	NOC:Computer Architecture and Organization	Lecture 62 - Multi-Core Processors
Link	NOC:Computer Architecture and Organization	Lecture 63 - Some Case Studies
Link	NOC:Computer Architecture and Organization	Lecture 64 - Summarization Of The Course
Link	NOC:Introduction to Algorithms and Analysis	Lecture 1 - Insertion sort
Link	NOC:Introduction to Algorithms and Analysis	Lecture 2 - Analysis of Insertion Sort
Link	NOC:Introduction to Algorithms and Analysis	Lecture 3 - Asymptotic Analysis
Link	NOC:Introduction to Algorithms and Analysis	Lecture 4 - Recurrence of Merge Sort
Link	NOC:Introduction to Algorithms and Analysis	Lecture 5 - Substitution Method
Link	NOC:Introduction to Algorithms and Analysis	Lecture 6 - The Master Method
Link	NOC:Introduction to Algorithms and Analysis	Lecture 7 - Divide-and-Conquer
Link	NOC:Introduction to Algorithms and Analysis	Lecture 8 - Divide-and-Conquer (Continued...)
Link	NOC:Introduction to Algorithms and Analysis	Lecture 9 - Straseen's Algorithms
Link	NOC:Introduction to Algorithms and Analysis	Lecture 10 - QuickSort
Link	NOC:Introduction to Algorithms and Analysis	Lecture 11 - Analysis of Quicksort
Link	NOC:Introduction to Algorithms and Analysis	Lecture 12 - Randomized Quicksort
Link	NOC:Introduction to Algorithms and Analysis	Lecture 13 - Heap
Link	NOC:Introduction to Algorithms and Analysis	Lecture 14 - Heap Sort
Link	NOC:Introduction to Algorithms and Analysis	Lecture 15 - Decision Tree
Link	NOC:Introduction to Algorithms and Analysis	Lecture 16 - Linear time Sorting
Link	NOC:Introduction to Algorithms and Analysis	Lecture 17 - Radix Sort and Bucket Sort
Link	NOC:Introduction to Algorithms and Analysis	Lecture 18 - Order Statistics
Link	NOC:Introduction to Algorithms and Analysis	Lecture 19 - Randomised Order Statistics
Link	NOC:Introduction to Algorithms and Analysis	Lecture 20 - Worst case linear time order statistics
Link	NOC:Introduction to Algorithms and Analysis	Lecture 21 - Hash Function
Link	NOC:Introduction to Algorithms and Analysis	Lecture 22 - Open Addressing
Link	NOC:Introduction to Algorithms and Analysis	Lecture 23 - Universal Hashing
Link	NOC:Introduction to Algorithms and Analysis	Lecture 24 - Perfect Hashing
Link	NOC:Introduction to Algorithms and Analysis	Lecture 25 - Binary Search Tree (BST) Sort
Link	NOC:Introduction to Algorithms and Analysis	Lecture 26 - Randomly build BST
Link	NOC:Introduction to Algorithms and Analysis	Lecture 27 - Red Black Tree
Link	NOC:Introduction to Algorithms and Analysis	Lecture 28 - Red Black Tree (Continued...)
Link	NOC:Introduction to Algorithms and Analysis	Lecture 29 - Augmentation of data structure
Link	NOC:Introduction to Algorithms and Analysis	Lecture 30 - Interval trees
Link	NOC:Introduction to Algorithms and Analysis	Lecture 31 - Fixed universe successor
Link	NOC:Introduction to Algorithms and Analysis	Lecture 32 - Van Emde Boas data structure
Link	NOC:Introduction to Algorithms and Analysis	Lecture 33 - Amortized analysis
Link	NOC:Introduction to Algorithms and Analysis	Lecture 34 - Computational Geometry
Link	NOC:Introduction to Algorithms and Analysis	Lecture 35 - Computational Geometry (Continued...)
Link	NOC:Introduction to Algorithms and Analysis	Lecture 36 - Dynamic Programming
Link	NOC:Introduction to Algorithms and Analysis	Lecture 37 - Longest common subsequence
Link	NOC:Introduction to Algorithms and Analysis	Lecture 38 - Graphs
Link	NOC:Introduction to Algorithms and Analysis	Lecture 39 - Prim's Algorithms
Link	NOC:Introduction to Algorithms and Analysis	Lecture 40 - Graph Search
Link	NOC:Introduction to Algorithms and Analysis	Lecture 41
Link	NOC:Introduction to Algorithms and Analysis	Lecture 42
Link	NOC:Introduction to Algorithms and Analysis	Lecture 43
Link	NOC:Introduction to Algorithms and Analysis	Lecture 44
Link	NOC:Introduction to Algorithms and Analysis	Lecture 45
Link	NOC:Introduction to Algorithms and Analysis	Lecture 46
Link	NOC:Introduction to Algorithms and Analysis	Lecture 47
Link	NOC:Introduction to Algorithms and Analysis	Lecture 48
Link	NOC:Introduction to Algorithms and Analysis	Lecture 49
Link	NOC:Introduction to Algorithms and Analysis	Lecture 50
Link	NOC:Introduction to Algorithms and Analysis	Lecture 51
Link	NOC:Introduction to Algorithms and Analysis	Lecture 52 - Union-Find
Link	NOC:Introduction to Algorithms and Analysis	Lecture 53 - Augmented disjoint set data structure
Link	NOC:Introduction to Algorithms and Analysis	Lecture 54 - Network flow
Link	NOC:Introduction to Algorithms and Analysis	Lecture 55 - Network Flow (Continued...)
Link	NOC:Introduction to Algorithms and Analysis	Lecture 56 - Network Flow (Continued...)
Link	NOC:Introduction to Algorithms and Analysis	Lecture 57 - More on Dynamic Programming
Link	NOC:Introduction to Algorithms and Analysis	Lecture 58 - More on Dynamic Programming (Continued...)
Link	NOC:Introduction to Algorithms and Analysis	Lecture 59 - Computational Complexity
Link	NOC:Introduction to Algorithms and Analysis	Lecture 60 - Computational Complexity (Continued...)
Link	NOC:Hardware Modeling using Verilog	Lecture 1
Link	NOC:Hardware Modeling using Verilog	Lecture 2
Link	NOC:Hardware Modeling using Verilog	Lecture 3
Link	NOC:Hardware Modeling using Verilog	Lecture 4
Link	NOC:Hardware Modeling using Verilog	Lecture 5
Link	NOC:Hardware Modeling using Verilog	Lecture 6 - Verilog Language Features - Part 1
Link	NOC:Hardware Modeling using Verilog	Lecture 7 - Verilog Language Features - Part 2
Link	NOC:Hardware Modeling using Verilog	Lecture 8 - Verilog Language Features - Part 3
Link	NOC:Hardware Modeling using Verilog	Lecture 9 - Verilog Operators
Link	NOC:Hardware Modeling using Verilog	Lecture 10 - Verilog Modeling Examples
Link	NOC:Hardware Modeling using Verilog	Lecture 11 - Verilog Modeling Examples (Continued...)
Link	NOC:Hardware Modeling using Verilog	Lecture 12 - Verilog Description Styles
Link	NOC:Hardware Modeling using Verilog	Lecture 13 - Procedural Assignment
Link	NOC:Hardware Modeling using Verilog	Lecture 14 - Procedural Assignment (Continued...)
Link	NOC:Hardware Modeling using Verilog	Lecture 15 - Procedural Assignment (Examples)
Link	NOC:Hardware Modeling using Verilog	Lecture 16 - Blocking / Non-Blocking Assignments - Part 1
Link	NOC:Hardware Modeling using Verilog	Lecture 17 - Blocking / Non-Blocking Assignments - Part 2
Link	NOC:Hardware Modeling using Verilog	Lecture 18 - Blocking / Non-Blocking Assignments - Part 3
Link	NOC:Hardware Modeling using Verilog	Lecture 19 - Blocking / Non-Blocking Assignments - Part 4
Link	NOC:Hardware Modeling using Verilog	Lecture 20 - User Defined Primitives
Link	NOC:Hardware Modeling using Verilog	Lecture 21 - Verilog Test Bench
Link	NOC:Hardware Modeling using Verilog	Lecture 22 - Writing Verilog Test Benches
Link	NOC:Hardware Modeling using Verilog	Lecture 23 - Modeling Finite State Machines
Link	NOC:Hardware Modeling using Verilog	Lecture 24 - Modeling Finite State Machines (Continued...)
Link	NOC:Hardware Modeling using Verilog	Lecture 25 - Datapath And Controller Design - Part 1
Link	NOC:Hardware Modeling using Verilog	Lecture 26 - Datapath And Controller Design - Part 2
Link	NOC:Hardware Modeling using Verilog	Lecture 27 - Datapath And Controller Design - Part 3
Link	NOC:Hardware Modeling using Verilog	Lecture 28 - Synthesizable Verilog
Link	NOC:Hardware Modeling using Verilog	Lecture 29 - Some Recommended Practices
Link	NOC:Hardware Modeling using Verilog	Lecture 30 - Modeling Memory
Link	NOC:Hardware Modeling using Verilog	Lecture 31 - Modeling Register Banks
Link	NOC:Hardware Modeling using Verilog	Lecture 32 - Basic Pipelining Concepts
Link	NOC:Hardware Modeling using Verilog	Lecture 33 - Pipeline Modeling - Part 1
Link	NOC:Hardware Modeling using Verilog	Lecture 34 - Pipeline Modeling - Part 2
Link	NOC:Hardware Modeling using Verilog	Lecture 35 - Switch Level Modeling - Part 1
Link	NOC:Hardware Modeling using Verilog	Lecture 36 - Switch Level Modeling - Part 2
Link	NOC:Hardware Modeling using Verilog	Lecture 37 - Pipeline Implementation Of A Processor - Part 1
Link	NOC:Hardware Modeling using Verilog	Lecture 38 - Pipeline Implementation Of A Processor - Part 2
Link	NOC:Hardware Modeling using Verilog	Lecture 39 - Pipeline Implementation Of A Processor - Part 3
Link	NOC:Hardware Modeling using Verilog	Lecture 40 - Verilog Modeling Of The Processor - Part 1
Link	NOC:Hardware Modeling using Verilog	Lecture 41 - Verilog Modeling Of The Processor - Part 2
Link	NOC:Introduction to Internet of Things	Lecture 1 - Introduction to IoT- Part I
Link	NOC:Introduction to Internet of Things	Lecture 2 - Introduction to IoT- Part II
Link	NOC:Introduction to Internet of Things	Lecture 3 - Sensing
Link	NOC:Introduction to Internet of Things	Lecture 4 - Actuation
Link	NOC:Introduction to Internet of Things	Lecture 5 - Basics of IoT Networking - Part I
Link	NOC:Introduction to Internet of Things	Lecture 6 - Basics of IoT Networking - Part II
Link	NOC:Introduction to Internet of Things	Lecture 7 - Basics of IoT Networking - Part III
Link	NOC:Introduction to Internet of Things	Lecture 8 - Basics of IoT Networking - Part IV
Link	NOC:Introduction to Internet of Things	Lecture 9 - Connectivity Technologies - Part I
Link	NOC:Introduction to Internet of Things	Lecture 10 - Connectivity Technologies - Part II
Link	NOC:Introduction to Internet of Things	Lecture 11 - Connectivity Technologies - Part III
Link	NOC:Introduction to Internet of Things	Lecture 12 - Connectivity Technologies - Part IV
Link	NOC:Introduction to Internet of Things	Lecture 13 - Connectivity Technologies - Part V
Link	NOC:Introduction to Internet of Things	Lecture 14 - Sensor Networks - I
Link	NOC:Introduction to Internet of Things	Lecture 15 - Sensor Networks - II
Link	NOC:Introduction to Internet of Things	Lecture 16 - Sensor Networks - III
Link	NOC:Introduction to Internet of Things	Lecture 17 - Sensor Networks - IV
Link	NOC:Introduction to Internet of Things	Lecture 18 - Sensor Networks - V
Link	NOC:Introduction to Internet of Things	Lecture 19 - UAV Networks
Link	NOC:Introduction to Internet of Things	Lecture 20 - Machine to Machine Communication
Link	NOC:Introduction to Internet of Things	Lecture 21 - Interoperability in Internet of Things
Link	NOC:Introduction to Internet of Things	Lecture 22 - Introduction to Arduino - I
Link	NOC:Introduction to Internet of Things	Lecture 23 - Introduction to Arduino - II
Link	NOC:Introduction to Internet of Things	Lecture 24 - Integration of Sensor and Actuators with Arduino - I
Link	NOC:Introduction to Internet of Things	Lecture 25 - Integration of Sensor and Actuators with Arduino - II
Link	NOC:Introduction to Internet of Things	Lecture 26 - Introduction to Python Programming - I
Link	NOC:Introduction to Internet of Things	Lecture 27 - Introduction to Python Programming - II
Link	NOC:Introduction to Internet of Things	Lecture 28 - Introduction to Raspberry Pi - I
Link	NOC:Introduction to Internet of Things	Lecture 29 - Introduction to Raspberry Pi - II
Link	NOC:Introduction to Internet of Things	Lecture 30 - Implementation of IoT with Raspberry Pi - I
Link	NOC:Introduction to Internet of Things	Lecture 31 - Implementation of IoT with Raspberry Pi - II
Link	NOC:Introduction to Internet of Things	Lecture 32 - Implementation of IoT with Raspberry Pi - III
Link	NOC:Introduction to Internet of Things	Lecture 33 - Software Defined Networking - Part I
Link	NOC:Introduction to Internet of Things	Lecture 34 - Software Defined Networking - Part II
Link	NOC:Introduction to Internet of Things	Lecture 35 - Software Defined IoT Networking - I
Link	NOC:Introduction to Internet of Things	Lecture 36 - Software Defined IoT Networking - II
Link	NOC:Introduction to Internet of Things	Lecture 37 - Cloud Computing-Fundamental
Link	NOC:Introduction to Internet of Things	Lecture 38 - Cloud Computing-Service Model
Link	NOC:Introduction to Internet of Things	Lecture 39 - Cloud Computing-Service Management and Security
Link	NOC:Introduction to Internet of Things	Lecture 40 - Cloud Computing - Case Studies
Link	NOC:Introduction to Internet of Things	Lecture 41 - Cloud Computing - Practical
Link	NOC:Introduction to Internet of Things	Lecture 42 - Sensor-Cloud - I
Link	NOC:Introduction to Internet of Things	Lecture 43 - Sensor-Cloud - II
Link	NOC:Introduction to Internet of Things	Lecture 44 - Fog Computing - I
Link	NOC:Introduction to Internet of Things	Lecture 45 - Fog Computing - II
Link	NOC:Introduction to Internet of Things	Lecture 46 - Smart Cities and Smart Homes - I
Link	NOC:Introduction to Internet of Things	Lecture 47 - Smart Cities and Smart Homes - II
Link	NOC:Introduction to Internet of Things	Lecture 48 - Smart Cities and Smart Homes - III
Link	NOC:Introduction to Internet of Things	Lecture 49 - Connected Vehicles - I
Link	NOC:Introduction to Internet of Things	Lecture 50 - Connected Vehicles - II
Link	NOC:Introduction to Internet of Things	Lecture 51 - Smart Grid - I
Link	NOC:Introduction to Internet of Things	Lecture 52 - Smart Grid - II
Link	NOC:Introduction to Internet of Things	Lecture 53 - Industrial Internet of Things - I
Link	NOC:Introduction to Internet of Things	Lecture 54 - Industrial Internet of Things - II
Link	NOC:Introduction to Internet of Things	Lecture 55 - Data Handling and Analytics - I
Link	NOC:Introduction to Internet of Things	Lecture 56 - Data Handling and Analytics - II
Link	NOC:Introduction to Internet of Things	Lecture 57 - Case Study: Agriculture
Link	NOC:Introduction to Internet of Things	Lecture 58 - Case Study: Healthcare
Link	NOC:Introduction to Internet of Things	Lecture 59 - Case Study: Activity Monitoring - I
Link	NOC:Introduction to Internet of Things	Lecture 60 - Case Study: Activity Monitoring - II
Link	NOC:Cloud Computing	Lecture 1 - Cloud Computing Overview
Link	NOC:Cloud Computing	Lecture 2 - Cloud Computing Overview (Continued...)
Link	NOC:Cloud Computing	Lecture 3 - Cloud Computing - Introduction
Link	NOC:Cloud Computing	Lecture 4 - Cloud Computing Architecture
Link	NOC:Cloud Computing	Lecture 5 - Cloud Computing Architecture (Continued...)
Link	NOC:Cloud Computing	Lecture 6 - Cloud Computing Architecture - Deployment Models
Link	NOC:Cloud Computing	Lecture 7 - Cloud Computing Virtualization
Link	NOC:Cloud Computing	Lecture 8 - Cloud Computing XML Basics
Link	NOC:Cloud Computing	Lecture 9 - Cloud Computing XML Basics - II
Link	NOC:Cloud Computing	Lecture 10 - Cloud Computing Web Services, Service Oriented Architecture
Link	NOC:Cloud Computing	Lecture 11 - Service Level Agreement
Link	NOC:Cloud Computing	Lecture 12 - Cloud Economics
Link	NOC:Cloud Computing	Lecture 13 - Managing Data
Link	NOC:Cloud Computing	Lecture 14 - Introduction to MapReduce
Link	NOC:Cloud Computing	Lecture 15 - Open Stack
Link	NOC:Cloud Computing	Lecture 16 - Cloud Computing - Opensource Cloud - Openstack Demo
Link	NOC:Cloud Computing	Lecture 17 - Cloud Computing Case Study with a commercial Cloud - Microsoft Azure
Link	NOC:Cloud Computing	Lecture 18 - Cloud Computing Demo - Microsoft Azure
Link	NOC:Cloud Computing	Lecture 19 - Cloud Computing Case Study - Google Cloud Platform (GCP)
Link	NOC:Cloud Computing	Lecture 20 - Cloud Computing Demo - Google Cloud Platform (GCP)
Link	NOC:Cloud Computing	Lecture 21 - SLA-Tutorial
Link	NOC:Cloud Computing	Lecture 22 - Cloudonomics-Tutorial
Link	NOC:Cloud Computing	Lecture 23 - MapReduce-Tutorial
Link	NOC:Cloud Computing	Lecture 24 - Resource Management - I
Link	NOC:Cloud Computing	Lecture 25 - Resource Management - II
Link	NOC:Cloud Computing	Lecture 26 - Cloud Computing: Security - I
Link	NOC:Cloud Computing	Lecture 27 - Cloud Computing: Security - II
Link	NOC:Cloud Computing	Lecture 28 - Cloud Computing: Security - III
Link	NOC:Cloud Computing	Lecture 29 - Cloud Computing: Security Issues in Collaborative SaaS Cloud
Link	NOC:Cloud Computing	Lecture 30 - Cloud Computing: Broker for Cloud Marketplace
Link	NOC:Cloud Computing	Lecture 31 - Mobile Cloud Computing - I
Link	NOC:Cloud Computing	Lecture 32 - Mobile Cloud Computing - II
Link	NOC:Cloud Computing	Lecture 33 - Fog Computing - I
Link	NOC:Cloud Computing	Lecture 34 - Fog Computing - II
Link	NOC:Cloud Computing	Lecture 35 - Use Case-Geo-spatial Cloud
Link	NOC:Cloud Computing	Lecture 36 - Introduction to DOCKER Container
Link	NOC:Cloud Computing	Lecture 37 - Green Cloud
Link	NOC:Cloud Computing	Lecture 38 - Sensor Cloud Computing
Link	NOC:Cloud Computing	Lecture 39 - IoT Cloud
Link	NOC:Cloud Computing	Lecture 40 - Course Summary and Research Areas
Link	NOC:Cloud Computing	Lecture 41 - Cloud-Fog Computing - Overview
Link	NOC:Cloud Computing	Lecture 42 - Resource Management - I
Link	NOC:Cloud Computing	Lecture 43 - Resource Management - II
Link	NOC:Cloud Computing	Lecture 44 - Cloud Federation
Link	NOC:Cloud Computing	Lecture 45 - VM Migration - Basics Migration strategies
Link	NOC:Cloud Computing	Lecture 46 - VM Migration - Basics Migration strategies
Link	NOC:Cloud Computing	Lecture 47 - Containers Container based Virtualization Kubernetes Docker Container
Link	NOC:Cloud Computing	Lecture 48 - Docker Container - Overview Docker - Components Docker - Architecture
Link	NOC:Cloud Computing	Lecture 49 - Docker Container - Demo
Link	NOC:Cloud Computing	Lecture 50 - Docker Container - Demo
Link	NOC:Cloud Computing	Lecture 51 - Dew Computing
Link	NOC:Cloud Computing	Lecture 52 - Serverless Computing - I
Link	NOC:Cloud Computing	Lecture 53 - Serverless Computing - II
Link	NOC:Cloud Computing	Lecture 54 - Sustainable Cloud Computing - I
Link	NOC:Cloud Computing	Lecture 55 - Sustainable Cloud Computing - II
Link	NOC:Cloud Computing	Lecture 56 - Cloud Computing in 5G Era
Link	NOC:Cloud Computing	Lecture 57 - CPS and Cloud Computing
Link	NOC:Cloud Computing	Lecture 58 - Case Study I (Spatial Cloud Computing)
Link	NOC:Cloud Computing	Lecture 59 - Case Study II (Internet of Health Things) - Part A
Link	NOC:Cloud Computing	Lecture 60 - Case Study II (Internet of Health Things) - Part B
Link	NOC:Problem Solving through Programming in C	Lecture 1 - Introduction
Link	NOC:Problem Solving through Programming in C	Lecture 2 - Idea of Algorithms
Link	NOC:Problem Solving through Programming in C	Lecture 3 - Flow Chart and Pseudocode
Link	NOC:Problem Solving through Programming in C	Lecture 4 - Introduction to Programming Language Concepts
Link	NOC:Problem Solving through Programming in C	Lecture 5 - Variables and Memory
Link	NOC:Problem Solving through Programming in C	Lecture 6 - Types of Software and Compilers
Link	NOC:Problem Solving through Programming in C	Lecture 7 - Introduction to C Programming Language
Link	NOC:Problem Solving through Programming in C	Lecture 8 - Variables and Variable Types in C
Link	NOC:Problem Solving through Programming in C	Lecture 9 - Introducing Functions
Link	NOC:Problem Solving through Programming in C	Lecture 10 - Address and Content of Variables and Types
Link	NOC:Problem Solving through Programming in C	Lecture 11 - Assignment Statement and Operators in C
Link	NOC:Problem Solving through Programming in C	Lecture 12 - Arithmetic Expressions and Relational Expressions
Link	NOC:Problem Solving through Programming in C	Lecture 13 - Logical Operators and Change in Control Flow
Link	NOC:Problem Solving through Programming in C	Lecture 14 - Use of Logical Operaotrs in Branching
Link	NOC:Problem Solving through Programming in C	Lecture 15 - Branching : IF-ELSE Statement
Link	NOC:Problem Solving through Programming in C	Lecture 16 - IF-ELSE Statement (Continued...)
Link	NOC:Problem Solving through Programming in C	Lecture 17 - Switch statement
Link	NOC:Problem Solving through Programming in C	Lecture 18 - Switch Statement (Continued...) and Introduction to Loops
Link	NOC:Problem Solving through Programming in C	Lecture 19 - Implementing Repetitions (Loops)
Link	NOC:Problem Solving through Programming in C	Lecture 20 - Implementation of Loops with for Statement (Continued...)
Link	NOC:Problem Solving through Programming in C	Lecture 21 - For Statement (Continued...)
Link	NOC:Problem Solving through Programming in C	Lecture 22 - Example of If-Else
Link	NOC:Problem Solving through Programming in C	Lecture 23 - Example of Loops
Link	NOC:Problem Solving through Programming in C	Lecture 24 - Example of Loops (Continued...)
Link	NOC:Problem Solving through Programming in C	Lecture 25 - Example of Loops (Continued...), Use of FOR Loops
Link	NOC:Problem Solving through Programming in C	Lecture 26 - Introduction to Arrays
Link	NOC:Problem Solving through Programming in C	Lecture 27 - Arrays (Continued...)
Link	NOC:Problem Solving through Programming in C	Lecture 28 - Arrays (Continued...)
Link	NOC:Problem Solving through Programming in C	Lecture 29 - Program using Arrays
Link	NOC:Problem Solving through Programming in C	Lecture 30 - Array Problem
Link	NOC:Problem Solving through Programming in C	Lecture 31 - Linear Search
Link	NOC:Problem Solving through Programming in C	Lecture 32 - Character Array and Strings
Link	NOC:Problem Solving through Programming in C	Lecture 33 - String Operations
Link	NOC:Problem Solving through Programming in C	Lecture 34 - 2-D Array Operation
Link	NOC:Problem Solving through Programming in C	Lecture 35 - Introducing Functions
Link	NOC:Problem Solving through Programming in C	Lecture 36 - More on Functions
Link	NOC:Problem Solving through Programming in C	Lecture 37 - Function (Continued...)
Link	NOC:Problem Solving through Programming in C	Lecture 38 - Scanf and Printf Functions; Function Prototype
Link	NOC:Problem Solving through Programming in C	Lecture 39 - Parameter Passing in Function Revision
Link	NOC:Problem Solving through Programming in C	Lecture 40 - Parameter Passing in Function Revision (Continued...)
Link	NOC:Problem Solving through Programming in C	Lecture 41 - Substitution of # include and Macro
Link	NOC:Problem Solving through Programming in C	Lecture 42 - search as a function
Link	NOC:Problem Solving through Programming in C	Lecture 43 - Binary Search
Link	NOC:Problem Solving through Programming in C	Lecture 44 - Binary Search (Continued...)
Link	NOC:Problem Solving through Programming in C	Lecture 45 - Sorting Methods
Link	NOC:Problem Solving through Programming in C	Lecture 46 - Bubble Sort (Continued...)
Link	NOC:Problem Solving through Programming in C	Lecture 47 - Use of Pointer in Function : Context Bubble Sort
Link	NOC:Problem Solving through Programming in C	Lecture 48 - Arrays at Strings
Link	NOC:Problem Solving through Programming in C	Lecture 49 - Data Representation
Link	NOC:Problem Solving through Programming in C	Lecture 50 - Bisection Method
Link	NOC:Problem Solving through Programming in C	Lecture 51 - Interpolation
Link	NOC:Problem Solving through Programming in C	Lecture 52 - Trapezoidal Rule and Runge-Kutta Method
Link	NOC:Problem Solving through Programming in C	Lecture 53 - Recursion
Link	NOC:Problem Solving through Programming in C	Lecture 54 - Recursion (Continued...)
Link	NOC:Problem Solving through Programming in C	Lecture 55 - Structure
Link	NOC:Problem Solving through Programming in C	Lecture 56 - Structure (Continued...)
Link	NOC:Problem Solving through Programming in C	Lecture 57 - Structure with typedef
Link	NOC:Problem Solving through Programming in C	Lecture 58 - Pointer
Link	NOC:Problem Solving through Programming in C	Lecture 59 - Pointer (Continued...)
Link	NOC:Problem Solving through Programming in C	Lecture 60 - Pointer in Structures
Link	NOC:Problem Solving through Programming in C	Lecture 61 - Dynamic Allocation and File
Link	NOC:Real Time Operating System	Lecture 1 - Introduction
Link	NOC:Real Time Operating System	Lecture 2 - Basics of Tast scheduling
Link	NOC:Real Time Operating System	Lecture 3 - Cyclic executives
Link	NOC:Real Time Operating System	Lecture 4 - Cyclic Scheduler
Link	NOC:Real Time Operating System	Lecture 5 - Cyclic Scheduler
Link	NOC:Real Time Operating System	Lecture 6 - Exercises on Frame size Selectoin
Link	NOC:Real Time Operating System	Lecture 7 - Event-driven schedulers
Link	NOC:Real Time Operating System	Lecture 8 - Rate Monotonic Algorithm
Link	NOC:Real Time Operating System	Lecture 9 - RMA Task Schedulability
Link	NOC:Real Time Operating System	Lecture 10 - Rate Monotonic Analysis
Link	NOC:Real Time Operating System	Lecture 11 - RMA Generalizations
Link	NOC:Real Time Operating System	Lecture 12 - Further RMA Generalizations
Link	NOC:Real Time Operating System	Lecture 13 - Resource Sharing among Real-Time Tasks
Link	NOC:Real Time Operating System	Lecture 14 - Solution to Priority Inversion Problem
Link	NOC:Real Time Operating System	Lecture 15 - Highest Locker Protocol
Link	NOC:Real Time Operating System	Lecture 16 - Priority Ceiling Protocol
Link	NOC:Real Time Operating System	Lecture 17 - PCP Priority Inversions
Link	NOC:Real Time Operating System	Lecture 18 - Analysis of PCP priority inversions
Link	NOC:Real Time Operating System	Lecture 19 - Some basic issues in Real-Time Operating Systems
Link	NOC:Real Time Operating System	Lecture 20 - Unix as a Real-Time operating System
Link	NOC:Introduction to Soft Computing	Lecture 1 - Introduction to soft computing
Link	NOC:Introduction to Soft Computing	Lecture 2 - Introduction to Fuzzy Logic
Link	NOC:Introduction to Soft Computing	Lecture 3 - Fuzzy membership functions (Continued...) and Defining Membership functions
Link	NOC:Introduction to Soft Computing	Lecture 4 - Fuzzy operations
Link	NOC:Introduction to Soft Computing	Lecture 5 - Fuzzy relations
Link	NOC:Introduction to Soft Computing	Lecture 6 - Fuzzy Relations (Continued...) and Fuzzy propositions
Link	NOC:Introduction to Soft Computing	Lecture 7 - Fuzzy implications
Link	NOC:Introduction to Soft Computing	Lecture 8 - Fuzzy Inferences
Link	NOC:Introduction to Soft Computing	Lecture 9 - Defuzzification techniques (Part-I)
Link	NOC:Introduction to Soft Computing	Lecture 10 - Defuzzification Techniques (Part-I) (Continued...)
Link	NOC:Introduction to Soft Computing	Lecture 11 - Fuzzy logic controller
Link	NOC:Introduction to Soft Computing	Lecture 12 - Fuzzy Logic Controller (Continued...)
Link	NOC:Introduction to Soft Computing	Lecture 13 - Fuzzy logic controller (Continued...)
Link	NOC:Introduction to Soft Computing	Lecture 14 - Concept of Genetic Algorithm
Link	NOC:Introduction to Soft Computing	Lecture 15 - Concept of Genetic Algorithm (Continued...) and GA Strategies
Link	NOC:Introduction to Soft Computing	Lecture 16 - GA Operator : Encoding schemes
Link	NOC:Introduction to Soft Computing	Lecture 17 - GA operator : encoding scheme (Continued...)
Link	NOC:Introduction to Soft Computing	Lecture 18 - GA Operator : Selection
Link	NOC:Introduction to Soft Computing	Lecture 19 - GA Operator : Selection (Continued...)
Link	NOC:Introduction to Soft Computing	Lecture 20 - GA Operator : Crossover techniques
Link	NOC:Introduction to Soft Computing	Lecture 21 - GA Operator : Crossover (Continued...)
Link	NOC:Introduction to Soft Computing	Lecture 22 - GA Operator : Crossover (Continued...)
Link	NOC:Introduction to Soft Computing	Lecture 23 - GA Operator : Mutation and others
Link	NOC:Introduction to Soft Computing	Lecture 24 - Multi-objective optimization problem solving
Link	NOC:Introduction to Soft Computing	Lecture 25 - Multi-objective optimization problem solving (Continued...)
Link	NOC:Introduction to Soft Computing	Lecture 26 - Concept of domination
Link	NOC:Introduction to Soft Computing	Lecture 27 - Non-Pareto based approaches to solve MOOPs
Link	NOC:Introduction to Soft Computing	Lecture 28 - Non-Pareto based approaches to solve MOOPs (Continued...)
Link	NOC:Introduction to Soft Computing	Lecture 29 - Pareto-Based approaches to solve MOOPs
Link	NOC:Introduction to Soft Computing	Lecture 30 - Pareto-based approaches to solve MOOPs (Continued....)
Link	NOC:Introduction to Soft Computing	Lecture 31 - Pareto-based approach to solve MOOPs
Link	NOC:Introduction to Soft Computing	Lecture 32 - Pareto-based approach to solve MOOPs (Continued...)
Link	NOC:Introduction to Soft Computing	Lecture 33 - Pareto-based approach to solve MOOPs (Continued...)
Link	NOC:Introduction to Soft Computing	Lecture 34 - Introduction to Artificial Neural Network
Link	NOC:Introduction to Soft Computing	Lecture 35 - ANN Architectures
Link	NOC:Introduction to Soft Computing	Lecture 36 - Training ANNs
Link	NOC:Introduction to Soft Computing	Lecture 37 - Training ANNs (Continued....)
Link	NOC:Introduction to Soft Computing	Lecture 38 - Training ANNs (Continued....)
Link	NOC:Introduction to Soft Computing	Lecture 39 - Training ANNs (Continued....)
Link	NOC:Introduction to Soft Computing	Lecture 40 - Soft computing tools
Link	NOC:Data Mining	Lecture 1 - Introduction, Knowledge Discovery Process
Link	NOC:Data Mining	Lecture 2 - Data Preprocessing - I
Link	NOC:Data Mining	Lecture 3 - Data Preprocessing - II
Link	NOC:Data Mining	Lecture 4 - Association Rules
Link	NOC:Data Mining	Lecture 5 - Apriori algorithm
Link	NOC:Data Mining	Lecture 6 - Rule generation
Link	NOC:Data Mining	Lecture 7 - Classification
Link	NOC:Data Mining	Lecture 8 - Decision Tree - I
Link	NOC:Data Mining	Lecture 9 - Decision Tree - II
Link	NOC:Data Mining	Lecture 10 - Decision Tree - III
Link	NOC:Data Mining	Lecture 11 - Decision Tree - IV
Link	NOC:Data Mining	Lecture 12 - Bayes Classifier - I
Link	NOC:Data Mining	Lecture 13 - Bayes Classifier - II
Link	NOC:Data Mining	Lecture 14 - Bayes Classifier - III
Link	NOC:Data Mining	Lecture 15 - Bayes Classifier - IV
Link	NOC:Data Mining	Lecture 16 - Bayes Classifier - V
Link	NOC:Data Mining	Lecture 17 - K Nearest Neighbor - I
Link	NOC:Data Mining	Lecture 18 - K Nearest Neighbor - II
Link	NOC:Data Mining	Lecture 19
Link	NOC:Data Mining	Lecture 20
Link	NOC:Data Mining	Lecture 21
Link	NOC:Data Mining	Lecture 22 - Support Vector Machine - I
Link	NOC:Data Mining	Lecture 23 - Support Vector Machine - II
Link	NOC:Data Mining	Lecture 24 - Support Vector Machine - III
Link	NOC:Data Mining	Lecture 25 - Support Vector Machine - IV
Link	NOC:Data Mining	Lecture 26 - Support Vector Machine - V
Link	NOC:Data Mining	Lecture 27 - Kernel Machines
Link	NOC:Data Mining	Lecture 28 - Artificial Neural Networks - I
Link	NOC:Data Mining	Lecture 29 - Artificial Neural Networks - II
Link	NOC:Data Mining	Lecture 30 - Artificial Neural Networks - III
Link	NOC:Data Mining	Lecture 31 - Artificial Neural Networks - IV
Link	NOC:Data Mining	Lecture 32 - Clustering - I
Link	NOC:Data Mining	Lecture 33 - Clustering - II
Link	NOC:Data Mining	Lecture 34 - Clustering - III
Link	NOC:Data Mining	Lecture 35 - Clustering - IV
Link	NOC:Data Mining	Lecture 36 - Clustering - V
Link	NOC:Data Mining	Lecture 37 - Regression - I
Link	NOC:Data Mining	Lecture 38 - Regression - II
Link	NOC:Data Mining	Lecture 39 - Regression - III
Link	NOC:Data Mining	Lecture 40 - Regression - IV
Link	NOC:Data Mining	Lecture 41 - Dimensionality Reduction - I
Link	NOC:Data Mining	Lecture 42 - Dimensionality Reduction - II
Link	NOC:Data Mining	Lecture 43 - Tutorial
Link	NOC:Data Mining	Lecture 44 - Live Session
Link	NOC:Data Base Management System	Lecture 1 - Course Overview
Link	NOC:Data Base Management System	Lecture 2 - Introduction to DBMS/1
Link	NOC:Data Base Management System	Lecture 3 - Introduction to DBMS/2
Link	NOC:Data Base Management System	Lecture 4 - Introduction to Relational Model/1
Link	NOC:Data Base Management System	Lecture 5 - Introduction to Relational Model/2
Link	NOC:Data Base Management System	Lecture 6 - Introduction to SQL/1
Link	NOC:Data Base Management System	Lecture 7 - Introduction to SQL/2
Link	NOC:Data Base Management System	Lecture 8 - Introduction to SQL/3
Link	NOC:Data Base Management System	Lecture 9 - Intermediate SQL/1
Link	NOC:Data Base Management System	Lecture 10 - Intermediate SQL/2
Link	NOC:Data Base Management System	Lecture 11 - Advanced SQL
Link	NOC:Data Base Management System	Lecture 12 - Formal Relational Query Languages
Link	NOC:Data Base Management System	Lecture 13 - Entity-Relationship Model/1
Link	NOC:Data Base Management System	Lecture 14 - Entity-Relationship Model/2
Link	NOC:Data Base Management System	Lecture 15 - Entity-Relationship Model/3
Link	NOC:Data Base Management System	Lecture 16 - Relational Database Design
Link	NOC:Data Base Management System	Lecture 17 - Relational Database Design (Continued...)
Link	NOC:Data Base Management System	Lecture 18 - Relational Database Design/3
Link	NOC:Data Base Management System	Lecture 19 - Relational Database Design (Continued...)
Link	NOC:Data Base Management System	Lecture 20 - Relational Database Design/5
Link	NOC:Data Base Management System	Lecture 21 - Application Design and Development/1
Link	NOC:Data Base Management System	Lecture 22 - Application Design and Development/2
Link	NOC:Data Base Management System	Lecture 23 - Application Design and Development/3
Link	NOC:Data Base Management System	Lecture 24 - Storage and File Structure/1: Storage
Link	NOC:Data Base Management System	Lecture 25 - Storage and File Structure/2: File Structure
Link	NOC:Data Base Management System	Lecture 26 - Indexing and Hashing/1 : Indexing/1
Link	NOC:Data Base Management System	Lecture 27 - Indexing and Hashing/2 : Indexing/2
Link	NOC:Data Base Management System	Lecture 28 - Indexing and Hashing/3 : Indexing/3
Link	NOC:Data Base Management System	Lecture 29 - Indexing and Hashing/4 : Hashing
Link	NOC:Data Base Management System	Lecture 30 - Indexing and Hashing/5 : Index Design
Link	NOC:Data Base Management System	Lecture 31 - Transactions/1
Link	NOC:Data Base Management System	Lecture 32 - Transactions/2 : Serializability
Link	NOC:Data Base Management System	Lecture 33 - Transactions/3 : Recoverability
Link	NOC:Data Base Management System	Lecture 34 - Concurrency Control/1
Link	NOC:Data Base Management System	Lecture 35 - Concurrency Control/2
Link	NOC:Data Base Management System	Lecture 36 - Recovery/1
Link	NOC:Data Base Management System	Lecture 37 - Recovery/2
Link	NOC:Data Base Management System	Lecture 38 - Query Processing and Optimization/1 : Processing
Link	NOC:Data Base Management System	Lecture 39 - Query Processing and Optimization/2 : Optimization
Link	NOC:Data Base Management System	Lecture 40 - Course Summarization
Link	NOC:Data Base Management System	Lecture 41 - Live Session
Link	NOC:Data Base Management System	Lecture 42 - Live Session - 2
Link	NOC:Software Engineering	Lecture 1 - Introduction - I
Link	NOC:Software Engineering	Lecture 2 - Introduction - II
Link	NOC:Software Engineering	Lecture 3 - Introduction - III
Link	NOC:Software Engineering	Lecture 4 - Introduction - IV
Link	NOC:Software Engineering	Lecture 5 - Introduction - V
Link	NOC:Software Engineering	Lecture 6 - Life Cycle Model
Link	NOC:Software Engineering	Lecture 7 - Life Cycle Model
Link	NOC:Software Engineering	Lecture 8 - Waterfall Model
Link	NOC:Software Engineering	Lecture 9 - Waterfall Derivatives
Link	NOC:Software Engineering	Lecture 10 - Incremental Model
Link	NOC:Software Engineering	Lecture 11 - Evolutionary Model
Link	NOC:Software Engineering	Lecture 12 - Agile Model
Link	NOC:Software Engineering	Lecture 13 - Extreme Programming and Scrum
Link	NOC:Software Engineering	Lecture 14 - Scrum
Link	NOC:Software Engineering	Lecture 15 - Introduction to requirement specification
Link	NOC:Software Engineering	Lecture 16 - Requirement gathering and analysis
Link	NOC:Software Engineering	Lecture 17 - Functional requirements
Link	NOC:Software Engineering	Lecture 18 - Representation of complex programming logic
Link	NOC:Software Engineering	Lecture 19 - Design Fundamentals
Link	NOC:Software Engineering	Lecture 20 - Modular Design
Link	NOC:Software Engineering	Lecture 21 - Classification of Cohesion
Link	NOC:Software Engineering	Lecture 22 - Classification of Coupling
Link	NOC:Software Engineering	Lecture 23 - Introduction to structured analysis and structured design
Link	NOC:Software Engineering	Lecture 24 - Basics of Data Flow Diagrams (DFD)
Link	NOC:Software Engineering	Lecture 25 - Developing DFD Model
Link	NOC:Software Engineering	Lecture 26 - Examples of DFD Model development
Link	NOC:Software Engineering	Lecture 27 - DFD Model - More Examples
Link	NOC:Software Engineering	Lecture 28 - Essentials of Structure Chart
Link	NOC:Software Engineering	Lecture 29 - Transform Analysis, Transaction Analysis
Link	NOC:Software Engineering	Lecture 30 - Structured Design Examples
Link	NOC:Software Engineering	Lecture 31 - Use Case Modelling
Link	NOC:Software Engineering	Lecture 32 - Factoring Use Cases
Link	NOC:Software Engineering	Lecture 33 - Overview of Class diagram
Link	NOC:Software Engineering	Lecture 34 - Inheritance relationship
Link	NOC:Software Engineering	Lecture 35 - Association relationship
Link	NOC:Software Engineering	Lecture 36 - Aggregation/ Composition and dependency relations
Link	NOC:Software Engineering	Lecture 37 - Interation Modelling
Link	NOC:Software Engineering	Lecture 38 - Development of Sequence diagrams
Link	NOC:Software Engineering	Lecture 39 - State-Machine diagram
Link	NOC:Software Engineering	Lecture 40 - An Object-Oriented design process
Link	NOC:Software Engineering	Lecture 41 - Domain Analysis
Link	NOC:Software Engineering	Lecture 42 - Examples of object-oriented design
Link	NOC:Software Engineering	Lecture 43 - Basic concepts in Testing - I
Link	NOC:Software Engineering	Lecture 44 - Basic concepts in Testing - II
Link	NOC:Software Engineering	Lecture 45 - Basic concepts in Testing - III
Link	NOC:Software Engineering	Lecture 46 - Unit testing strategies - I
Link	NOC:Software Engineering	Lecture 47 - Unit testing strategies - II
Link	NOC:Software Engineering	Lecture 48 - Equivalance Class Testing - I
Link	NOC:Software Engineering	Lecture 49 - Equivalance Class Testing - II
Link	NOC:Software Engineering	Lecture 50 - Special Value Testing
Link	NOC:Software Engineering	Lecture 51 - Combinatorial Testing
Link	NOC:Software Engineering	Lecture 52 - Decision Table Testing
Link	NOC:Software Engineering	Lecture 53 - Cause effect graphing
Link	NOC:Software Engineering	Lecture 54 - Pairwise Testing
Link	NOC:Software Engineering	Lecture 55 - White box Testing
Link	NOC:Software Engineering	Lecture 56 - Condition Testing
Link	NOC:Software Engineering	Lecture 57 - MC/DC Coverage
Link	NOC:Software Engineering	Lecture 58 - MC/DC Testing
Link	NOC:Software Engineering	Lecture 59 - Path Testing
Link	NOC:Software Engineering	Lecture 60 - Dataflow and Mutation Testing
Link	NOC:Computer Networks and Internet Protocol	Lecture 1 - Introduction to Computer Networks - A brief history
Link	NOC:Computer Networks and Internet Protocol	Lecture 2 - Data Networks - from Circuit Switching Network to Packet Switching Network
Link	NOC:Computer Networks and Internet Protocol	Lecture 3 - Network Protocol Stack
Link	NOC:Computer Networks and Internet Protocol	Lecture 4 - Services at the Different Layers of the Protocol Stack
Link	NOC:Computer Networks and Internet Protocol	Lecture 5 - Application Layer I - Different Protocols at the Application Layer
Link	NOC:Computer Networks and Internet Protocol	Lecture 6 - Application Layer II - Domain Name Systems
Link	NOC:Computer Networks and Internet Protocol	Lecture 7 - Application Layer III - The Web
Link	NOC:Computer Networks and Internet Protocol	Lecture 8 - Application Layer III - Hypertext Transfer Protocol
Link	NOC:Computer Networks and Internet Protocol	Lecture 9 - Application Layer III - Internet Mail Transfer
Link	NOC:Computer Networks and Internet Protocol	Lecture 10 - Application Layer IV - File Transfer (FTP)
Link	NOC:Computer Networks and Internet Protocol	Lecture 11 - Transport Layer I - Services
Link	NOC:Computer Networks and Internet Protocol	Lecture 12 - Transport Layer II - Connection
Link	NOC:Computer Networks and Internet Protocol	Lecture 13 - Transport Layer II - Connection (Continued...)
Link	NOC:Computer Networks and Internet Protocol	Lecture 14 - Transport Layer IV - Reliability
Link	NOC:Computer Networks and Internet Protocol	Lecture 15 - Transport Layer V - Sliding Window Protocols
Link	NOC:Computer Networks and Internet Protocol	Lecture 16 - Transport Layer Performance
Link	NOC:Computer Networks and Internet Protocol	Lecture 17 - Buffer Management and Congestion Control
Link	NOC:Computer Networks and Internet Protocol	Lecture 18 - Transport Layer Primitives
Link	NOC:Computer Networks and Internet Protocol	Lecture 19 - Transmission Control Protocol I - Basics
Link	NOC:Computer Networks and Internet Protocol	Lecture 20 - Transmission Control Protocol II - Connections
Link	NOC:Computer Networks and Internet Protocol	Lecture 21 - Transmission Control Protocol III - Flow Control
Link	NOC:Computer Networks and Internet Protocol	Lecture 22 - Transmission Control Protocol IV - Congestion Control
Link	NOC:Computer Networks and Internet Protocol	Lecture 23 - User Datagram Protocol
Link	NOC:Computer Networks and Internet Protocol	Lecture 24 - Socket Programming - I
Link	NOC:Computer Networks and Internet Protocol	Lecture 25 - Socket Programming - II
Link	NOC:Computer Networks and Internet Protocol	Lecture 26 - Network Layer I - Introduction
Link	NOC:Computer Networks and Internet Protocol	Lecture 27 - IP Addressing (IPv4) I - Classful addressing
Link	NOC:Computer Networks and Internet Protocol	Lecture 28 - IP Addressing (IPv4) II - CIDR
Link	NOC:Computer Networks and Internet Protocol	Lecture 29 - IP Addressing (IPv4) III - Network Address Translation (NAT)
Link	NOC:Computer Networks and Internet Protocol	Lecture 30 - IPv6 Addressing
Link	NOC:Computer Networks and Internet Protocol	Lecture 31 - Internet QoS - I (What is QoS)
Link	NOC:Computer Networks and Internet Protocol	Lecture 32 - Internet QoS - II (Basic QoS Architecture)
Link	NOC:Computer Networks and Internet Protocol	Lecture 33 - Internet QoS - III (Traffic Policing and Traffic Shaping)
Link	NOC:Computer Networks and Internet Protocol	Lecture 34 - Internet QoS - IV (Traffic Scheduling)
Link	NOC:Computer Networks and Internet Protocol	Lecture 35 - Internet QoS - V (Integrated and Differentiated Service Architecture)
Link	NOC:Computer Networks and Internet Protocol	Lecture 36 - IP Routing Table
Link	NOC:Computer Networks and Internet Protocol	Lecture 37 - Routing in the Internet I - Intra-domain routing
Link	NOC:Computer Networks and Internet Protocol	Lecture 38 - Routing in the Internet II - Routing protocols
Link	NOC:Computer Networks and Internet Protocol	Lecture 39 - Routing in the Internet III - Inter-domain Routing
Link	NOC:Computer Networks and Internet Protocol	Lecture 40 - Routing in the Internet IV - Border Gateway Protocol
Link	NOC:Computer Networks and Internet Protocol	Lecture 41 - IP Routers
Link	NOC:Computer Networks and Internet Protocol	Lecture 42 - IP Routers Demo
Link	NOC:Computer Networks and Internet Protocol	Lecture 43 - Software Defined Networking - I (Basics)
Link	NOC:Computer Networks and Internet Protocol	Lecture 44 - Software Defined Networking - II (Open Flow)
Link	NOC:Computer Networks and Internet Protocol	Lecture 45 - Software Defined Networking - III (Demo)
Link	NOC:Computer Networks and Internet Protocol	Lecture 46 - Data Link Layer - Overview
Link	NOC:Computer Networks and Internet Protocol	Lecture 47 - Data Link Layer - Basic Concepts
Link	NOC:Computer Networks and Internet Protocol	Lecture 48 - Data Link Layer - Ethernet
Link	NOC:Computer Networks and Internet Protocol	Lecture 49 - Data Link Layer - Ethernet (Continued...)
Link	NOC:Computer Networks and Internet Protocol	Lecture 50 - Data Link Layer - Flow and Error Control
Link	NOC:Computer Networks and Internet Protocol	Lecture 51 - ARP-RAPP-BOOTP-DHCP
Link	NOC:Computer Networks and Internet Protocol	Lecture 52 - ARP-RAPP-BOOTP-DHCP (Continued...)
Link	NOC:Computer Networks and Internet Protocol	Lecture 53
Link	NOC:Computer Networks and Internet Protocol	Lecture 54 - Wireless LANs
Link	NOC:Computer Networks and Internet Protocol	Lecture 55 - Layer 1: Physical Layer
Link	NOC:Computer Networks and Internet Protocol	Lecture 56 - Layer 1: Physical Layer - II
Link	NOC:Computer Networks and Internet Protocol	Lecture 57 - Layer 1: Physical Layer - III
Link	NOC:Computer Networks and Internet Protocol	Lecture 58 - Network Security - Overview
Link	NOC:Computer Networks and Internet Protocol	Lecture 59 - Network Security - II
Link	NOC:Computer Networks and Internet Protocol	Lecture 60 - Network Security - III [TCP/IP Security]
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 1 - Introduction to Blockchain - I (Basics)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 2 - Introduction to Blockchain - II (History)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 3 - Introduction to Blockchain - III (Architecture)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 4 - Introduction to Blockchain - IV (Conceptualization)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 5 - Basic Crypto Primitives - I
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 6 - Basic Crypto Primitives - II
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 7 - Bitcoin Basics - I
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 8 - Bitcoin Basics - II
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 9 - Bitcoin Basics - III
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 10 - Distributed Consensus
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 11 - Consensus in Bitcoin - I (The Basics)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 12 - Consensus in Bitcoin - II (PoW and Beyond)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 13 - Consensus in Bitcoin - III (The Miners)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 14 - Permissioned Blockchain - I (Basics)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 15 - Permissioned Blockchain - II (Consensus)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 16 - Permissioned Blockchain - III (RAFT Consensus)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 17 - Permissioned Blockchain - IV (Byzantine General Problem)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 18 - Permissioned Blockchain - V (Practical Byzantine Fault Tolerance)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 19 - Blockchain for Enterprise - Overview
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 20 - Blockchain Components and Concepts
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 21 - Hyperledger Fabric - Transaction Flow
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 22 - Hyperledger Fabric Details
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 23 - Fabric - Membership and Identity Management
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 24 - Hyperledger Fabric Network Setup
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 25 - Fabric Demo on IBM Blockchain Cloud - I
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 26 - Fabric Demo on IBM Blockchain Cloud - II
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 27 - Fabric Demo, deploy from scratch - III
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 28 - Hyperledger Composer - Application Development
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 29 - Hyperledger Composer - Network Administration
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 30 - Blockchain Use Cases
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 31 - Blockchain in Financial Service - I (Payments and Secure Trading)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 32 - Blockchain in Financial Service - II (Compliance and Mortgage)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 33 - Blockchain in Financial Service - III (Financial Trade)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 34 - Revolutionizing Global Trade
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 35 - Blockchain in Supply Chain - I
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 36 - Blockchain in Supply Chain - II
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 37 - Blockchain in Other Industries
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 38 - Blockchain in Government - I (Advantages)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 39 - Blockchain in Government - II (Use Cases)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 40 - Blockchain in Government - III (Digital Identity)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 41 - Blockchain in Government - IV (Hyperledger Indy)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 42 - Blockchain in Government - V (Tax Payments and Land Registry Records)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 43 - Blockchain Security - I (Overview)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 44 - Blockchain Security - II (Membership and Access control in Fabric)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 45 - Blockchain Security - III (Privacy in Fabric)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 46 - Blockchain Security - III (Fabric SideDB)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 47 - Research Aspects - I (Consensus Scalability)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 48 - Research Aspects - II (Bitcoin-NG)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 49 - Research Aspects - III (Collective Signing)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 50 - Research Aspects - IV (Byzcoin)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 51 - Research Aspects - V (Algorand)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 52 - Research Aspects - VI (Cross Fault Tolerance)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 53 - Research Aspects - VII (Secured Multi-Party Computation)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 54 - Blockchain for Science - I (Blockchain for Big Data)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 55 - Blockchain for Science - II (Blockchain and AI)
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 56 - Comparing Ecosystems - Ethereum
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 57 - Comparing Ecosystems - Ethereum development tools and Quorum
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 58 - Comparing Ecosystems - Corda Part 1
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 59 - Comparing Ecosystems - Corda Part 2
Link	NOC:Blockchain Architecture Design and Use Cases	Lecture 60 - Concluding the course
Link	NOC:Switching Circuits and Logic Design	Lecture 1 - Introduction
Link	NOC:Switching Circuits and Logic Design	Lecture 2 - Octal and Hexadecimal Number Systems
Link	NOC:Switching Circuits and Logic Design	Lecture 3 - Signed and Unsigned Binary Number Representation
Link	NOC:Switching Circuits and Logic Design	Lecture 4 - Binary Addition and Subtraction
Link	NOC:Switching Circuits and Logic Design	Lecture 5 - BCD and Gray Code Representations
Link	NOC:Switching Circuits and Logic Design	Lecture 6 - Error Detection and Correction
Link	NOC:Switching Circuits and Logic Design	Lecture 7 - Logic Gates
Link	NOC:Switching Circuits and Logic Design	Lecture 8 - Logic Families to Implement Gates
Link	NOC:Switching Circuits and Logic Design	Lecture 9 - Emerging Technologies - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 10 - Emerging Technologies - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 11 - Switching Algebra
Link	NOC:Switching Circuits and Logic Design	Lecture 12 - Algebraic Manipulation
Link	NOC:Switching Circuits and Logic Design	Lecture 13 - Properties of Switching Functions
Link	NOC:Switching Circuits and Logic Design	Lecture 14 - Obtaining Canonical Representations of Functions
Link	NOC:Switching Circuits and Logic Design	Lecture 15 - Functional Completeness
Link	NOC:Switching Circuits and Logic Design	Lecture 16 - Minimization Using Karnaugh Maps - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 17 - Minimization Using Karnaugh Maps - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 18 - Minimization Using Karnaugh Maps - Part III
Link	NOC:Switching Circuits and Logic Design	Lecture 19 - Minimization using Tabular Method - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 20 - Minimization using Tabular Method - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 21 - Design of Adders - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 22 - Design of Adders - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 23 - Design of Adders - Part III
Link	NOC:Switching Circuits and Logic Design	Lecture 24 - Logic Design - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 25 - Logic Design - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 26 - Logic Design - Part III
Link	NOC:Switching Circuits and Logic Design	Lecture 27 - Binary Decision Diagrams - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 28 - Binary Decision Diagrams - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 29 - Logic Design using AND-EXOR Network
Link	NOC:Switching Circuits and Logic Design	Lecture 30 - Threshold Logic and Threshold Gates
Link	NOC:Switching Circuits and Logic Design	Lecture 31 - Latches and Flip-Flops - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 32 - Latches and Flip-Flops - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 33 - Latches and Flip-Flops - Part III
Link	NOC:Switching Circuits and Logic Design	Lecture 34 - Clocking and Timing - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 35 - Clocking and Timing - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 36 - Synthesis of Synchronous Sequential Circuits - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 37 - Synthesis of Synchronous Sequential Circuits - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 38 - Synthesis of Synchronous Sequential Circuits - Part III
Link	NOC:Switching Circuits and Logic Design	Lecture 39 - Synthesis of Synchronous Sequential Circuits - Part IV
Link	NOC:Switching Circuits and Logic Design	Lecture 40 - Minimization of Finite State Machines - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 41 - Minimization of Finite State Machines - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 42 - Design of Registers - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 43 - Design of Registers - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 44 - Design of Registers - Part III
Link	NOC:Switching Circuits and Logic Design	Lecture 45 - Design of Counters - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 46 - Design of Counters - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 47 - Digital-to-Analog Converter - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 48 - Digital-to-Analog Converter - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 49 - Analog-to-Digital Converter - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 50 - Analog-to-Digital Converter - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 51 - Analog-to-Digital Converter - Part III
Link	NOC:Switching Circuits and Logic Design	Lecture 52 - Asynchronous Sequential Circuits - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 53 - Asynchronous Sequential Circuits - Part II
Link	NOC:Switching Circuits and Logic Design	Lecture 54 - Algorithmic State Machine (ASM Chart
Link	NOC:Switching Circuits and Logic Design	Lecture 55 - Testing of Digital Circuits
Link	NOC:Switching Circuits and Logic Design	Lecture 56 - Fault Modeling
Link	NOC:Switching Circuits and Logic Design	Lecture 57 - Test Pattern Generation
Link	NOC:Switching Circuits and Logic Design	Lecture 58 - Design for Testability
Link	NOC:Switching Circuits and Logic Design	Lecture 59 - Built-in Self-Test - Part I
Link	NOC:Switching Circuits and Logic Design	Lecture 60 - Built-in Self-Test - Part II
Link	NOC:Scalable Data Science	Lecture 1 - Background: Introduction
Link	NOC:Scalable Data Science	Lecture 2 - Probability: Concentration inequalities
Link	NOC:Scalable Data Science	Lecture 3 - Linear algebra: PCA, SVD
Link	NOC:Scalable Data Science	Lecture 4 - Optimization: Basics, Convex, GD
Link	NOC:Scalable Data Science	Lecture 5 - Machine Learning: Supervised, generalization, feature learning, clustering.
Link	NOC:Scalable Data Science	Lecture 6 - Memory-efficient data structures: Hash functions, universal / perfect hash families
Link	NOC:Scalable Data Science	Lecture 7 - Bloom filters
Link	NOC:Scalable Data Science	Lecture 8 - Sketches for distinct count
Link	NOC:Scalable Data Science	Lecture 9 - Sketches for distinct count (Continued...)
Link	NOC:Scalable Data Science	Lecture 10 - Misra-Gries sketch
Link	NOC:Scalable Data Science	Lecture 11 - Frequent Element: Space Saving and Count Min
Link	NOC:Scalable Data Science	Lecture 12 - Frequent Element: Count Sketch
Link	NOC:Scalable Data Science	Lecture 13 - Near Neighbors
Link	NOC:Scalable Data Science	Lecture 14 - Locality Sensitive Hashing
Link	NOC:Scalable Data Science	Lecture 15 - Building LSH Tables
Link	NOC:Scalable Data Science	Lecture 16 - Approximate near neighbors search: Extensions e.g. multi-probe, b-bit hashing, Data dependent variants
Link	NOC:Scalable Data Science	Lecture 17 - Approximate near neighbors search: Extensions e.g. multi-probe, b-bit hashing, Data dependent variants (Continued...)
Link	NOC:Scalable Data Science	Lecture 18 - Approximate near neighbors search: Extensions e.g. multi-probe, b-bit hashing, Data dependent variants (Continued...)
Link	NOC:Scalable Data Science	Lecture 19 - Randomized Numerical Linear Algebra: Random projection
Link	NOC:Scalable Data Science	Lecture 20 - Randomized Numerical Linear Algebra: Random projection (Continued...)
Link	NOC:Scalable Data Science	Lecture 21 - Randomized Numerical Linear Algebra: a) Matrix multiplication + QB decomposition
Link	NOC:Scalable Data Science	Lecture 22 - Randomized Numerical Linear Algebra: b) CUR+CX
Link	NOC:Scalable Data Science	Lecture 23 - Randomized Numerical Linear Algebra: a) L2 regression using RP
Link	NOC:Scalable Data Science	Lecture 24 - Randomized Numerical Linear Algebra: b) Leverage scores
Link	NOC:Scalable Data Science	Lecture 25 - Randomized Numerical Linear Algebra: c) Hash Kernels + Kitchen Sink
Link	NOC:Scalable Data Science	Lecture 26 - Map-reduce and Hadoop
Link	NOC:Scalable Data Science	Lecture 27 - Hadoop System
Link	NOC:Scalable Data Science	Lecture 28 - Hadoop System (Continued...)
Link	NOC:Scalable Data Science	Lecture 29 - Hadoop System (Continued...)
Link	NOC:Scalable Data Science	Lecture 30 - Spark
Link	NOC:Scalable Data Science	Lecture 31 - Spark (Continued...)
Link	NOC:Scalable Data Science	Lecture 32 - Spark (Continued...)
Link	NOC:Scalable Data Science	Lecture 33 - Distributed Machine Learning and Optimization: Introduction
Link	NOC:Scalable Data Science	Lecture 34 - SGD+Proof
Link	NOC:Scalable Data Science	Lecture 35 - SGD+Proof (Continued...)
Link	NOC:Scalable Data Science	Lecture 36 - Distributed Machine Learning and Optimization:ADMM + applications
Link	NOC:Scalable Data Science	Lecture 37 - Distributed Machine Learning and Optimization:ADMM + applications (Continued...)
Link	NOC:Scalable Data Science	Lecture 38 - Clustering
Link	NOC:Scalable Data Science	Lecture 39 - Clustering (Continued...)
Link	NOC:Scalable Data Science	Lecture 40 - Conclusion
Link	NOC:Compiler Design	Lecture 1 - Introduction
Link	NOC:Compiler Design	Lecture 2 - Introduction (Continued...)
Link	NOC:Compiler Design	Lecture 3 - Introduction (Continued...)
Link	NOC:Compiler Design	Lecture 4 - Introduction (Continued...)
Link	NOC:Compiler Design	Lecture 5 - Introduction (Continued...)
Link	NOC:Compiler Design	Lecture 6 - Introduction (Continued...)
Link	NOC:Compiler Design	Lecture 7 - Lexical Analysis
Link	NOC:Compiler Design	Lecture 8 - Lexical Analysis (Continued...)
Link	NOC:Compiler Design	Lecture 9 - Lexical Analysis (Continued...)
Link	NOC:Compiler Design	Lecture 10 - Lexical Analysis (Continued...)
Link	NOC:Compiler Design	Lecture 11 - Lexical Analysis (Continued...)
Link	NOC:Compiler Design	Lecture 12 - Lexical Analysis (Continued...)
Link	NOC:Compiler Design	Lecture 13 - Lexical Analysis (Continued...)
Link	NOC:Compiler Design	Lecture 14 - Lexical Analysis (Continued...)
Link	NOC:Compiler Design	Lecture 15 - Lexical Analysis (Continued...)
Link	NOC:Compiler Design	Lecture 16 - Parser
Link	NOC:Compiler Design	Lecture 17 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 18 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 19 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 20 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 21 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 22 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 23 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 24 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 25 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 26 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 27 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 28 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 29 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 30 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 31 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 32 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 33 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 34 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 35 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 36 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 37 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 38 - Parser (Continued...)
Link	NOC:Compiler Design	Lecture 39 - Type Checking
Link	NOC:Compiler Design	Lecture 40 - Type Checking (Continued...)
Link	NOC:Compiler Design	Lecture 41 - Type Checking (Continued...)
Link	NOC:Compiler Design	Lecture 42 - Type Checking (Continued...)
Link	NOC:Compiler Design	Lecture 43 - Symbol Table
Link	NOC:Compiler Design	Lecture 44 - Symbol Table (Continued...)
Link	NOC:Compiler Design	Lecture 45 - Symbol Table (Continued...)
Link	NOC:Compiler Design	Lecture 46 - Symbol Table (Continued...) and Runtime Environment
Link	NOC:Compiler Design	Lecture 47 - Runtime Environment
Link	NOC:Compiler Design	Lecture 48 - Runtime Environment (Continued...)
Link	NOC:Compiler Design	Lecture 49 - Runtime Environment (Continued...)
Link	NOC:Compiler Design	Lecture 50 - Intermediate Code Generation
Link	NOC:Compiler Design	Lecture 51 - Intermediate Code Generation (Continued...)
Link	NOC:Compiler Design	Lecture 52 - Intermediate Code Generation (Continued...)
Link	NOC:Compiler Design	Lecture 53 - Intermediate Code Generation (Continued...)
Link	NOC:Compiler Design	Lecture 54 - Intermediate Code Generation (Continued...)
Link	NOC:Compiler Design	Lecture 55 - Intermediate Code Generation (Continued...)
Link	NOC:Compiler Design	Lecture 56 - Intermediate Code Generation (Continued...)
Link	NOC:Compiler Design	Lecture 57 - Intermediate Code Generation (Continued...)
Link	NOC:Compiler Design	Lecture 58 - Intermediate Code Generation (Continued...)
Link	NOC:Compiler Design	Lecture 59 - Intermediate Code Generation (Continued...)
Link	NOC:Compiler Design	Lecture 60 - Intermediate Code Generation (Continued...)
Link	NOC:Compiler Design	Lecture 61 - Intermediate Code Generation (Continued...)
Link	NOC:Programming in Java	Lecture 1 - Introduction
Link	NOC:Programming in Java	Lecture 2 - Java Programming Steps
Link	NOC:Programming in Java	Lecture 3 - Java Tools and Resources
Link	NOC:Programming in Java	Lecture 4 - Demonstration - I
Link	NOC:Programming in Java	Lecture 5 - Java Applet Programming
Link	NOC:Programming in Java	Lecture 6 - Demonstration - II
Link	NOC:Programming in Java	Lecture 7 - Encapsulation
Link	NOC:Programming in Java	Lecture 8 - Demonstration - III
Link	NOC:Programming in Java	Lecture 9 - Java Programming Insights
Link	NOC:Programming in Java	Lecture 10 - Demonstration - IV
Link	NOC:Programming in Java	Lecture 11 - Java Static Scope Rule
Link	NOC:Programming in Java	Lecture 12 - Demonstration - V
Link	NOC:Programming in Java	Lecture 13 - Inheritance
Link	NOC:Programming in Java	Lecture 14 - Demonstration - VI
Link	NOC:Programming in Java	Lecture 15 - Information Hiding
Link	NOC:Programming in Java	Lecture 16 - Demonstration - VII
Link	NOC:Programming in Java	Lecture 17 - Packages - I
Link	NOC:Programming in Java	Lecture 18 - Packages - II
Link	NOC:Programming in Java	Lecture 19 - Demonstration - VIII
Link	NOC:Programming in Java	Lecture 20 - Interface - I
Link	NOC:Programming in Java	Lecture 21 - Interface - II
Link	NOC:Programming in Java	Lecture 22 - Demonstration - IX
Link	NOC:Programming in Java	Lecture 23 - Exception Handling - I
Link	NOC:Programming in Java	Lecture 24 - Exception Handling - II
Link	NOC:Programming in Java	Lecture 25 - Exception Handling - III
Link	NOC:Programming in Java	Lecture 26 - Demonstration - X
Link	NOC:Programming in Java	Lecture 27 - Multithreading - I
Link	NOC:Programming in Java	Lecture 28 - Multithreading - II
Link	NOC:Programming in Java	Lecture 29 - Demonstration - XI
Link	NOC:Programming in Java	Lecture 30 - I-O Stream - I
Link	NOC:Programming in Java	Lecture 31 - I-O Stream - II
Link	NOC:Programming in Java	Lecture 32 - I-O Stream - III
Link	NOC:Programming in Java	Lecture 33 - Demonstration - XII
Link	NOC:Programming in Java	Lecture 34 - Applet Programming - I
Link	NOC:Programming in Java	Lecture 35 - Applet Programming - II
Link	NOC:Programming in Java	Lecture 36 - Applet Programming - III
Link	NOC:Programming in Java	Lecture 37 - Demonstration - XIII
Link	NOC:Programming in Java	Lecture 38 - Demonstration - XIV
Link	NOC:Programming in Java	Lecture 39 - AWT Programming - I
Link	NOC:Programming in Java	Lecture 40 - AWT Programming - II
Link	NOC:Programming in Java	Lecture 41 - Demonstration - XV
Link	NOC:Programming in Java	Lecture 42 - AWT Programming - III
Link	NOC:Programming in Java	Lecture 43 - Swing - I
Link	NOC:Programming in Java	Lecture 44 - Swing - II
Link	NOC:Programming in Java	Lecture 45 - Demonstration - XVI
Link	NOC:Programming in Java	Lecture 46 - Demonstration - XVII
Link	NOC:Programming in Java	Lecture 47 - Demonstration - XVIII
Link	NOC:Programming in Java	Lecture 48 - Networking with Java
Link	NOC:Programming in Java	Lecture 49 - Demonstration - XIX
Link	NOC:Programming in Java	Lecture 50 - JDBC - I
Link	NOC:Programming in Java	Lecture 51 - JDBC - II
Link	NOC:Programming in Java	Lecture 52 - JDBC - III
Link	NOC:Programming in Java	Lecture 53 - Demonstration - XX
Link	NOC:Programming in Java	Lecture 54 - Demonstration - XXI
Link	NOC:Programming in Java	Lecture 55 - Demonstration - XXII
Link	NOC:Programming in Java	Lecture 56 - Case Studies - I
Link	NOC:Programming in Java	Lecture 57 - Case Studies - II
Link	NOC:Programming in Java	Lecture 58 - Case Studies - III
Link	NOC:Programming in Java	Lecture 59 - Case Studies - IV
Link	NOC:Programming in Java	Lecture 60 - Case Studies - V
Link	NOC:Discrete Structures	Lecture 1 - Introduction to Propositional Logic
Link	NOC:Discrete Structures	Lecture 2 - Introduction to Propositional Logic (Continued...)
Link	NOC:Discrete Structures	Lecture 3 - Introduction to Propositional Logic (Continued...)
Link	NOC:Discrete Structures	Lecture 4 - Introduction to Propositional Logic (Continued...)
Link	NOC:Discrete Structures	Lecture 5 - Introduction to Propositional Logic (Continued...)
Link	NOC:Discrete Structures	Lecture 6 - Introduction to Propositional Logic (Continued...)
Link	NOC:Discrete Structures	Lecture 7 - Predicate Logic
Link	NOC:Discrete Structures	Lecture 8 - Predicate Logic (Continued...)
Link	NOC:Discrete Structures	Lecture 9 - Predicate Logic (Continued...)
Link	NOC:Discrete Structures	Lecture 10 - Predicate Logic (Continued...)
Link	NOC:Discrete Structures	Lecture 11 - Proof Techniques
Link	NOC:Discrete Structures	Lecture 12 - Proof Techniques (Continued...)
Link	NOC:Discrete Structures	Lecture 13 - Proof Techniques (Continued...)
Link	NOC:Discrete Structures	Lecture 14 - Proof Techniques (Continued...)
Link	NOC:Discrete Structures	Lecture 15 - Proof Techniques (Continued...)
Link	NOC:Discrete Structures	Lecture 16 - Sets and Functions
Link	NOC:Discrete Structures	Lecture 17 - Sets and Functions (Continued...)
Link	NOC:Discrete Structures	Lecture 18 - Sets and Functions (Continued...)
Link	NOC:Discrete Structures	Lecture 19 - Sets and Functions (Continued...)
Link	NOC:Discrete Structures	Lecture 20 - Sets and Functions (Continued...)
Link	NOC:Discrete Structures	Lecture 21 - Relations and their Properties
Link	NOC:Discrete Structures	Lecture 22 - Relations and their Properties (Continued...)
Link	NOC:Discrete Structures	Lecture 23 - Relations and their Properties (Continued...)
Link	NOC:Discrete Structures	Lecture 24 - Relations and their Properties (Continued...)
Link	NOC:Discrete Structures	Lecture 25 - Relations and their Properties (Continued...)
Link	NOC:Discrete Structures	Lecture 26 - Recursion
Link	NOC:Discrete Structures	Lecture 27 - Recursion (Continued...)
Link	NOC:Discrete Structures	Lecture 28 - Recursion (Continued...)
Link	NOC:Discrete Structures	Lecture 29 - Recursion (Continued...)
Link	NOC:Discrete Structures	Lecture 30 - Recursion (Continued...)
Link	NOC:Discrete Structures	Lecture 31 - Recurrence relations
Link	NOC:Discrete Structures	Lecture 32 - Recurrence relations (Continued...)
Link	NOC:Discrete Structures	Lecture 33 - Recurrence relations (Continued...)
Link	NOC:Discrete Structures	Lecture 34 - Recurrence relations (Continued...)
Link	NOC:Discrete Structures	Lecture 35 - Recurrence relations (Continued...)
Link	NOC:Discrete Structures	Lecture 36 - Counting Techniques and Pigeonhole Principle
Link	NOC:Discrete Structures	Lecture 37 - Counting Techniques and Pigeonhole Principle (Continued...)
Link	NOC:Discrete Structures	Lecture 38 - Counting Techniques and Pigeonhole Principle (Continued...)
Link	NOC:Discrete Structures	Lecture 39 - Counting Techniques and Pigeonhole Principle (Continued...)
Link	NOC:Discrete Structures	Lecture 40 - Counting Techniques and Pigeonhole Principle (Continued...)
Link	NOC:Discrete Structures	Lecture 41 - Combinatorics
Link	NOC:Discrete Structures	Lecture 42 - Combinatorics (Continued...)
Link	NOC:Discrete Structures	Lecture 43 - Combinatorics (Continued...)
Link	NOC:Discrete Structures	Lecture 44 - Combinatorics (Continued...)
Link	NOC:Discrete Structures	Lecture 45 - Combinatorics (Continued...)
Link	NOC:Discrete Structures	Lecture 46 - Algebraic Structures
Link	NOC:Discrete Structures	Lecture 47 - Algebraic Structures (Continued...)
Link	NOC:Discrete Structures	Lecture 48 - Algebraic Structures (Continued...)
Link	NOC:Discrete Structures	Lecture 49 - Algebraic Structures (Continued...)
Link	NOC:Discrete Structures	Lecture 50 - Algebraic Structures (Continued...)
Link	NOC:Discrete Structures	Lecture 51 - Ring and Modular Arithmetic
Link	NOC:Discrete Structures	Lecture 52 - Ring and Modular Arithmetic (Continued...)
Link	NOC:Discrete Structures	Lecture 53 - Ring and Modular Arithmetic (Continued...)
Link	NOC:Discrete Structures	Lecture 54 - Ring and Modular Arithmetic (Continued...)
Link	NOC:Discrete Structures	Lecture 55 - Ring and Modular Arithmetic (Continued...)
Link	NOC:Discrete Structures	Lecture 56 - Finite Field and Applications
Link	NOC:Discrete Structures	Lecture 57 - Finite Field and Applications (Continued...)
Link	NOC:Discrete Structures	Lecture 58 - Finite Field and Applications (Continued...)
Link	NOC:Discrete Structures	Lecture 59 - Finite Field and Applications (Continued...)
Link	NOC:Discrete Structures	Lecture 60 - Finite Field and Applications (Continued...)
Link	NOC:Embedded System Design with ARM	Lecture 1 - Introduction To Embedded Systems
Link	NOC:Embedded System Design with ARM	Lecture 2 - Design Considerations of Embedded Systems
Link	NOC:Embedded System Design with ARM	Lecture 3 - Microprocessors and Microcontrollers
Link	NOC:Embedded System Design with ARM	Lecture 4 - Architecture of ARM Microcontroller - Part 1
Link	NOC:Embedded System Design with ARM	Lecture 5 - Architecture of ARM Microcontroller - Part 2
Link	NOC:Embedded System Design with ARM	Lecture 6 - Architecture of ARM Microcontroller - Part 3
Link	NOC:Embedded System Design with ARM	Lecture 7 - ARM Instruction Set - Part 1
Link	NOC:Embedded System Design with ARM	Lecture 8 - ARM Instruction Set - Part 2
Link	NOC:Embedded System Design with ARM	Lecture 9 - ARM Instruction Set - Part 3
Link	NOC:Embedded System Design with ARM	Lecture 10 - About the STM32F401 Nucleo Board
Link	NOC:Embedded System Design with ARM	Lecture 11 - PWM and Interrupt on STM32F401
Link	NOC:Embedded System Design with ARM	Lecture 12 - Digital to Analog Conversion
Link	NOC:Embedded System Design with ARM	Lecture 13 - Analog to Digital Conversion - Part 1
Link	NOC:Embedded System Design with ARM	Lecture 14 - Analog to Digital Conversion - Part 2
Link	NOC:Embedded System Design with ARM	Lecture 15 - Output Devices, Sensors and Actuators - Part 1
Link	NOC:Embedded System Design with ARM	Lecture 16 - Output Devices, Sensors and Actuators - Part 2
Link	NOC:Embedded System Design with ARM	Lecture 17 - Output Devices, Sensors and Actuators - Part 3
Link	NOC:Embedded System Design with ARM	Lecture 18 - Microcontroller Development Boards
Link	NOC:Embedded System Design with ARM	Lecture 19 - Mbed C Programming Environment
Link	NOC:Embedded System Design with ARM	Lecture 20 - Interfacing With STM32F401 Board
Link	NOC:Embedded System Design with ARM	Lecture 21 - Interfacing With Arduino Uno
Link	NOC:Embedded System Design with ARM	Lecture 22 - Interfacing 7-Segment Led And LCD Displays - Part 1
Link	NOC:Embedded System Design with ARM	Lecture 23 - Interfacing 7-segment LED and LCD Displays - Part 2
Link	NOC:Embedded System Design with ARM	Lecture 24 - Serial Port Terminal Application (Coolterm)
Link	NOC:Embedded System Design with ARM	Lecture 25 - Experiment With Temperature Sensor
Link	NOC:Embedded System Design with ARM	Lecture 26 - Experiment With Ldr Light Sensor - Part 1
Link	NOC:Embedded System Design with ARM	Lecture 27 - Experiment With Ldr Light Sensor - Part 2
Link	NOC:Embedded System Design with ARM	Lecture 28 - Experiment With Speaker
Link	NOC:Embedded System Design with ARM	Lecture 29 - Experiment With Microphone
Link	NOC:Embedded System Design with ARM	Lecture 30 - Design Of Control System
Link	NOC:Embedded System Design with ARM	Lecture 31 - Experiments With Relay
Link	NOC:Embedded System Design with ARM	Lecture 32 - Experiments On Speed Control Of Dc Motor
Link	NOC:Embedded System Design with ARM	Lecture 33 - Experiment With Multiple Sensors And Relay
Link	NOC:Embedded System Design with ARM	Lecture 34 - Introduction To Internet Of Things
Link	NOC:Embedded System Design with ARM	Lecture 35 - Gsm And Bluetooth
Link	NOC:Embedded System Design with ARM	Lecture 36 - Design Of A Home Automation System
Link	NOC:Embedded System Design with ARM	Lecture 37 - Design Of A Simple Alarm System Using Touch Sensor
Link	NOC:Embedded System Design with ARM	Lecture 38 - Accelerometer
Link	NOC:Embedded System Design with ARM	Lecture 39 - Experiment Using Accelerometer
Link	NOC:Embedded System Design with ARM	Lecture 40 - Experiment Using Bluetooth
Link	NOC:Embedded System Design with ARM	Lecture 41 - Experiment With Gas Sensor
Link	NOC:Embedded System Design with ARM	Lecture 42 - Summarization Of The Course
Link	NOC:Hardware Security	Lecture 1 - Introduction to Hardware Security - Part 1
Link	NOC:Hardware Security	Lecture 2 - Introduction to Hardware Security - Part 2
Link	NOC:Hardware Security	Lecture 3 - Algorithm to Hardware
Link	NOC:Hardware Security	Lecture 4 - Finite Field Architectures - 1
Link	NOC:Hardware Security	Lecture 5 - Finite Field Architectures - 1 (Continued...)
Link	NOC:Hardware Security	Lecture 6 - Hardware Design for Finite Field Inverse
Link	NOC:Hardware Security	Lecture 7 - Hardware Architecture for Finite Field Inverse
Link	NOC:Hardware Security	Lecture 8 - Background on Cryptography, Cryptanalysis and Advanced Encryption Standard (AES)
Link	NOC:Hardware Security	Lecture 9 - Advanced Encryption Standard (AES) andSide Channel Analysis
Link	NOC:Hardware Security	Lecture 10 - Field Isomorphisms
Link	NOC:Hardware Security	Lecture 11 - Field Isomorphisms (Continued...)
Link	NOC:Hardware Security	Lecture 12 - Hardware Implementation of Advanced Encryption
Link	NOC:Hardware Security	Lecture 13 - Hardware Implementation of Advanced Encryption
Link	NOC:Hardware Security	Lecture 14 - Hardware Implementation of Advanced Encryption (Continued...)
Link	NOC:Hardware Security	Lecture 15 - Compact AES-Box
Link	NOC:Hardware Security	Lecture 16 - Compact AES S-Box - Part II
Link	NOC:Hardware Security	Lecture 17 - Compact AES S-Box in Normal Basis - Part I
Link	NOC:Hardware Security	Lecture 18 - Compact AES S-Box in Normal Basis - Part II
Link	NOC:Hardware Security	Lecture 19 - Hardware for Elliptic Curve Cryptography - Part I
Link	NOC:Hardware Security	Lecture 20 - Hardware for Elliptic Curve Cryptography - Part II
Link	NOC:Hardware Security	Lecture 21 - Hardware for Elliptic Curve Cryptography - Part III
Link	NOC:Hardware Security	Lecture 22 - Hardware for Elliptic Curve Cryptography - Part IV
Link	NOC:Hardware Security	Lecture 23 - Hardware for Elliptic Curve Cryptography - Part V
Link	NOC:Hardware Security	Lecture 24 - Introduction to Side Channel Analysis
Link	NOC:Hardware Security	Lecture 25 - Power Analysis - Part I
Link	NOC:Hardware Security	Lecture 26 - Power Analysis - Part II
Link	NOC:Hardware Security	Lecture 27 - Power Analysis - Part III
Link	NOC:Hardware Security	Lecture 28 - Power Analysis - Part IV
Link	NOC:Hardware Security	Lecture 29 - Power Analysis - Part V
Link	NOC:Hardware Security	Lecture 30 - Power Analysis - Part VI
Link	NOC:Hardware Security	Lecture 31 - Power Analysis - Part VII
Link	NOC:Hardware Security	Lecture 32 - Power Analysis - Part VIII
Link	NOC:Hardware Security	Lecture 33 - Power Analysis - Part IX
Link	NOC:Hardware Security	Lecture 34 - Power Analysis - Part X
Link	NOC:Hardware Security	Lecture 35 - Power Analysis - Part XI
Link	NOC:Hardware Security	Lecture 36 - Power Analysis - Part XII
Link	NOC:Hardware Security	Lecture 37 - Power Analysis - Part XIII
Link	NOC:Hardware Security	Lecture 38 - Power Analysis - Part XIV
Link	NOC:Hardware Security	Lecture 39 - Power Analysis - Part XV
Link	NOC:Hardware Security	Lecture 40 - Power Analysis - Part XVI
Link	NOC:Hardware Security	Lecture 41 - Power Analysis - Part XVII
Link	NOC:Hardware Security	Lecture 42 - Power Analysis - Part XVIII
Link	NOC:Hardware Security	Lecture 43 - Power Analysis Countermeasures
Link	NOC:Hardware Security	Lecture 44 - Power Analysis Countermeasures (Continued...)
Link	NOC:Hardware Security	Lecture 45 - Power Analysis Countermeasures (Continued...)
Link	NOC:Hardware Security	Lecture 46 - Fault Analysis of Cryptosystems
Link	NOC:Hardware Security	Lecture 47 - Improved DFA of AES
Link	NOC:Hardware Security	Lecture 48 - Multi-Byte and key Scheduling Based Fault Analysis of AES
Link	NOC:Hardware Security	Lecture 49 - Multi-Byte and key Scheduling Based Fault Analysis of AES (Continued...)
Link	NOC:Hardware Security	Lecture 50 - Redundaney Based Fault Intensity
Link	NOC:Hardware Security	Lecture 51 - Reundancy Base Fault Countermeasures and Differential Faut Intensity Attacks (Continued...)
Link	NOC:Hardware Security	Lecture 52 - Infective Countermeasures for DFA
Link	NOC:Hardware Security	Lecture 53 - Infective Countermeasures for DFA (Continued...)
Link	NOC:Hardware Security	Lecture 54 - Infective Countermeasures for DFA (Continued...)
Link	NOC:Hardware Security	Lecture 55 - Microarchitectural attacks: Part I cache Timing attacks on Block ciphers
Link	NOC:Hardware Security	Lecture 56 - Microarchitectural attacks: Part I cache Timing attacks on Block ciphers (Continued...)
Link	NOC:Hardware Security	Lecture 57 - Microarchitectural attacks: Part II Branch Prediction Attacks
Link	NOC:Hardware Security	Lecture 58 - Microarchitectural attacks: Part II Branch Prediction Attacks (Continued...)
Link	NOC:Hardware Security	Lecture 59 - Microarchitectural attacks: Part III Row Hammer Attacks
Link	NOC:Hardware Security	Lecture 60 - Microarchitectural attacks: Part III Row Hammer Attacks (Continued...)
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 1 - Introduction: Sensing and Actuation
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 2 - Introduction: IoT Connectivity - Part 1
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 3 - Introduction: IoT Connectivity - Part 2
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 4 - Introduction: IoT Networking - Part 1
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 5 - Introduction: IoT Networking - Part 2
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 6 - Industry 4.0: The Fourth Revolution
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 7 - Industry 4.0: Sustainability Assessment of Manufacturing Industry
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 8 - Industry 4.0: Lean Production System
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 9 - Industry 4.0: Smart and Connected Business Perspective
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 10 - Industry 4.0: Smart Factories
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 11 - Industry 4.0: Cyber-Physical Systems and Next-Generation Sensors
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 12 - Industry 4.0: Collaboration Platform and Product Lifecycle Management
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 13 - Industry 4.0: Augmented Reality and Virtual Reality
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 14 - Industry 4.0: Artificial Intelligence
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 15 - Industry 4.0: Big Data and Advanced Analysis
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 16 - Industry 4.0: Cybersecurity
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 17 - Basics of Industrial IoT: Introduction
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 18 - Basics of Industrial IoT: Industrial Internet Systems
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 19 - Basics of IIoT: Industrial Sensing and Actuation
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 20 - Basics of Industrial IoT: Industrial Processes - Part 1
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 21 - Basics of Industrial IoT: Industrial Processes - Part 2
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 22 - Business Models and Reference Architecture for IIoT: Business Models - Part 1
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 23 - Business Models and Reference Architecture for IIoT: Business Models - Part 2
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 24 - Business Models and Reference Architecture for IIoT: Reference Architecture - Part 1
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 25 - Business Models and Reference Architecture for IIoT: Reference Architecture - Part 2
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 26 - Key Enablers of Industrial IoT: Sensing - Part 1
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 27 - Key Enablers of Industrial IoT: Sensing - Part 2
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 28 - Key Enablers of Industrial IoT: Connectivity - Part 1
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 29 - Key Enablers of Industrial IoT: Connectivity - Part 2
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 30 - Key Enablers of Industrial IoT: Connectivity - Part 3
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 31 - Key Enablers of Industrial IoT: Connectivity - Part 4
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 32 - Key Enablers of Industrial IoT: Connectivity - Part 5
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 33 - Key Enablers of Industrial IoT: Processing - Part 1
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 34 - Key Enablers of Industrial IoT: Processing - Part 2
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 35 - Key Enablers of Industrial IoT: Process Control
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 36 - IIoT Analytics and Data Management: Introduction
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 37 - IIoT Analytics and Data Management: Machine Learning and Data Science - Part 1
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 38 - IIoT Analytics and Data Management: Machine Learning and Data Science - Part 2
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 39 - IIoT Analytics and Data Management: Cloud Computing in IIoT - Part 1
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 40 - IIoT Analytics and Data Management: Cloud Computing in IIoT - Part 2
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 41 - Analytics and Data Management: Fog Computing in IIoT
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 42 - IIoT Analytics and Data Management: Tutorial for R and Julia Programming
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 43 - IIoT Analytics and Data Management: Data Management with Hadoop
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 44 - IIoT Analytics and Data Management: Data Center Networks
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 45 - Advanced Technologies: Software-Defined Networking (SDN) in IIoT - Part 1
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 46 - Advanced Technologies: Software-Defined Networking (SDN) in IIoT - Part 2
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 47 - Advanced Technologies: Security in IIoT - Part 1
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 48 - Advanced Technologies: Security in IIoT - Part 2
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 49 - IIoT Applications: Factories and Assembly Line
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 50 - IIoT Applications: Food Industry
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 51 - IIoT Applications: Healthcare
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 52 - IIoT Applications: Power Plants
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 53 - IIoT Applications: Inventory Management and Quality Control
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 54 - IIoT Applications: Plant Security and Safety
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 55 - IIoT Applications: Facility Management
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 56 - IIoT Applications: Oil, Chemical and Pharmaceutical Industry
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 57 - IIoT Applications: UAVs in Industries
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 58 - Case Studies for Industry 4.0 and IIoT
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 59 - Milk Processing and Packaging Industries
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 60 - Manufacturing Industries - Part I
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 61 - Manufacturing Industries - Part II
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 62 - Student Projects - Part I
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 63 - Student Projects - Part II
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 64 - Virtual Reality Lab
Link	NOC:Introduction to Industry 4.0 and Industrial Internet of Things	Lecture 65 - Steel Technology Lab
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 1 - Deterministic Finite Automata (DFA)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 2 - Input alphabet
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 3 - Extended transition function
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 4 - Language of DFA
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 5 - Building DFA
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 6 - Building DFA (Continued...)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 7 - NFA (Nondeterministic Finite Automata)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 8 - Language of a NFA
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 9 - Equivalence of DFAs and NFAs
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 10 - Subset Construction
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 11 - Ïµ-NFA
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 12 - Extended transition function of NFA
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 13 - Language of NFA
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 14 - NFA to NFA
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 15 - NFA to DFA
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 16 - Regular expression
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 17 - Regular expression (Continued...)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 18 - More on regular expression
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 19 - Equivalence of NFA and regular expression
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 20 - Equivalence of NFA and regular expression (Continued...)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 21 - DFA to Regular expression
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 22 - DFA to Regular expression (Continued...)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 23 - Construction of regular expression from a DFA (example)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 24 - Closure properties of Regular Set
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 25 - Closure properties of Regular Set (Continued...)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 26 - Substitution
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 27 - Pumping Lemma
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 28 - Application of the pumping lemma
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 29 - More on Pumping lemma
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 30 - Ardens Theorem
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 31 - Minimization of FA
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 32 - Minimization of FA (Continued...)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 33 - Two way FA
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 34 - Finite automata with output
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 35 - Equivalence of Moore and Mealy machine
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 36 - Context free grammars (CFG)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 37 - Context free language (CFL)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 38 - More example on CFL
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 39 - More on CFG
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 40 - Derivation Tree/Parse Tree
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 41 - Leftmost and Rightmost derivations
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 42 - Ambiguity in CFG
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 43 - Simplification of CFG
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 44 - Algorithms to construct reduced grammar
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 45 - Elimination of Null and Unit productions
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 46 - Chomsky Normal Form (CNF)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 47 - Greibach Normal Form (GNF)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 48 - Pushdown Automata (PDA)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 49 - Language accepted by PDA
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 50 - Example of a language accepted by PDA
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 51 - Deterministic PDA
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 52 - Equivalence of language accepted
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 53 - Equivalence PDA
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 54 - Equivalence PDA and CFL
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 55 - Equivalence PDA and CFL (Continued...)
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 56 - Relationship between regular language and CFL
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 57 - Pumping lemma for CFLs
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 58 - Closer properties of CFLs
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 59 - Turning Machine
Link	NOC:Introduction to Automata, Languages and Computation	Lecture 60 - Language accepted by a Turning machine
Link	NOC:Operating System Fundamentals	Lecture 1 - Introduction
Link	NOC:Operating System Fundamentals	Lecture 2 - Introduction (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 3 - Introduction (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 4 - Introduction (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 5 - Introduction (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 6 - Introduction (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 7 - Operating System Structures
Link	NOC:Operating System Fundamentals	Lecture 8 - Operating System Structures (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 9 - Operating System Structures (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 10 - Operating System Structures (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 11 - Operating System Structures (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 12 - Processes
Link	NOC:Operating System Fundamentals	Lecture 13 - Processes (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 14 - Processes (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 15 - Processes (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 16 - Processes (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 17 - Processes (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 18 - Processes (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 19 - Threads
Link	NOC:Operating System Fundamentals	Lecture 20 - Threads (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 21 - Threads (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 22 - Threads (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 23 - Threads, Scheduling
Link	NOC:Operating System Fundamentals	Lecture 24 - Scheduling
Link	NOC:Operating System Fundamentals	Lecture 25 - Scheduling (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 26 - Scheduling (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 27 - Scheduling (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 28 - Scheduling (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 29 - Process Synchronization
Link	NOC:Operating System Fundamentals	Lecture 30 - Process Synchronization (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 31 - Process Synchronization (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 32 - Process Synchronization (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 33 - Process Synchronization (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 34 - Process Synchronization (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 35 - Synchronization Examples
Link	NOC:Operating System Fundamentals	Lecture 36 - Synchronization Examples, Deadlock
Link	NOC:Operating System Fundamentals	Lecture 37 - Deadlock
Link	NOC:Operating System Fundamentals	Lecture 38 - Deadlock (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 39 - Deadlock (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 40 - Deadlock (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 41 - Memory Management
Link	NOC:Operating System Fundamentals	Lecture 42 - Memory Management (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 43 - Memory Management (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 44 - Memory Management (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 45 - Memory Management (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 46 - Memory Management (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 47 - Memory Management (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 48 - Memory Management (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 49 - Virtual Memory
Link	NOC:Operating System Fundamentals	Lecture 50 - Virtual Memory (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 51 - Virtual Memory (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 52 - Virtual Memory (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 53 - Virtual Memory (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 54 - Virtual Memory (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 55 - Virtual Memory (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 56 - Virtual Memory (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 57 - File System and Secondary Storage
Link	NOC:Operating System Fundamentals	Lecture 58 - File System and Secondary Storage (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 59 - File System and Secondary Storage (Continued...)
Link	NOC:Operating System Fundamentals	Lecture 60 - File System and Secondary Storage (Continued...)
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 1 - Introduction
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 2 - Feature Descriptor - I
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 3 - Feature Descriptor - II
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 4 - Bayesian Learning - I
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 5 - Bayesian Learning - II
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 6 - Discriminant Function - I
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 7 - Discriminant Function - II
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 8 - Discriminant Function - III
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 9 - Linear Classifier - I
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 10 - Linear Classifier - II
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 11 - Support Vector Machine - I
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 12 - Support Vector Machine - II
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 13 - Linear Machine
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 14 - Multiclass Support Vector Machine - I
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 15 - Multiclass Support Vector Machine - II
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 16 - Optimization
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 17 - Optimization Techniques in Machine Learning
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 18 - Nonlinear Functions
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 19 - Introduction to Neural Network
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 20 - Neural Network - II
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 21 - Multilayer Perceptron - I
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 22 - Multilayer Perceptron - II
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 23 - Backpropagation Learning
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 24 - Loss Function
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 25 - Backpropagation Learning- Example - I
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 26 - Backpropagation Learning- Example - II
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 27 - Backpropagation Learning- Example - III
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 28 - Autoencoder
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 29 - Autoencoder Vs PCA - I
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 30 - Autoencoder Vs PCA - II
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 31 - Autoencoder Training
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 32 - Autoencoder Variants - I
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 33 - Autoencoder Variants - II
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 34 - Convolution
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 35 - Cross Correlation
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 36 - CNN Architecture
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 37 - MLP versus CNN, Popular CNN Architecture: LeNet
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 38 - Popular CNN Architecture: AlexNet
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 39 - Popular CNN Architecture: VGG16, Transfer Learning
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 40 - Vanishing and Exploding Gradient
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 41 - GoogleNet
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 42 - ResNet, Optimisers: Momentum Optimiser
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 43 - Optimisers: Momentum and Nesterov Accelerated Gradient (NAG) Optimiser
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 44 - Optimisers: Adagrad Optimiser
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 45 - Optimisers: RMSProp, AdaDelta and Adam Optimiser
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 46 - Normalization
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 47 - Batch Normalization - I
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 48 - Batch Normalization - II
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 49 - Layer, Instance, Group Normalization
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 50 - Training Trick, Regularization,Early Stopping
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 51 - Face Recognition
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 52 - Deconvolution Layer
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 53 - Semantic Segmentation - I
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 54 - Semantic Segmentation - II
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 55 - Semantic Segmentation - III
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 56 - Image Denoising
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 57 - Variational Autoencoder - I
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 58 - Variational Autoencoder - II
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 59 - Variational Autoencoder - III
Link	NOC:Deep Learning (Prof. P.K. Biswas)	Lecture 60 - Generative Adversarial Network
Link	NOC:Computer Vision	Lecture 1 - Fundamentals of Image Processing - Part I
Link	NOC:Computer Vision	Lecture 2 - Fundamentals of Imagr Processing - Part II
Link	NOC:Computer Vision	Lecture 3 - Image Transform - Part I
Link	NOC:Computer Vision	Lecture 4 - Image Transform - Part II
Link	NOC:Computer Vision	Lecture 5 - Projective Geometry - Part I
Link	NOC:Computer Vision	Lecture 6 - Projective Geometry - Part II
Link	NOC:Computer Vision	Lecture 7 - Projective Transformation
Link	NOC:Computer Vision	Lecture 8 - Homography: Properties - Part I
Link	NOC:Computer Vision	Lecture 9 - Homography: Properties - Part II
Link	NOC:Computer Vision	Lecture 10 - Homography: Properties - Part III
Link	NOC:Computer Vision	Lecture 11 - Camera Geometry - Part I
Link	NOC:Computer Vision	Lecture 12 - Camera Geometry - Part II
Link	NOC:Computer Vision	Lecture 13 - Camera Geometry - Part III
Link	NOC:Computer Vision	Lecture 14 - Camera Geometry - Part IV
Link	NOC:Computer Vision	Lecture 15 - Camera Geometry - Part V
Link	NOC:Computer Vision	Lecture 16 - Stereo Geometry - Part I
Link	NOC:Computer Vision	Lecture 17 - Stereo Geometry - Part II
Link	NOC:Computer Vision	Lecture 18 - Stereo Geometry - Part III
Link	NOC:Computer Vision	Lecture 19 - Stereo Geometry - Part IV
Link	NOC:Computer Vision	Lecture 20 - Stereo Geometry - Part V
Link	NOC:Computer Vision	Lecture 21 - Stereo Geometry - Part VI
Link	NOC:Computer Vision	Lecture 22 - Stereo Geometry - Part VII
Link	NOC:Computer Vision	Lecture 23 - Stereo Geometry - Part VIII
Link	NOC:Computer Vision	Lecture 24 - Feature Detection And Description - Part I
Link	NOC:Computer Vision	Lecture 25 - Feature Detection And Description - Part II
Link	NOC:Computer Vision	Lecture 26 - Feature Detection And Description - Part III
Link	NOC:Computer Vision	Lecture 27 - Feature Detection And Description - Part IV
Link	NOC:Computer Vision	Lecture 28 - Feature Detection And Description - Part V
Link	NOC:Computer Vision	Lecture 29 - Feature Matching And Model Fitting- Part I
Link	NOC:Computer Vision	Lecture 30 - Feature Matching And Model Fitting- Part II
Link	NOC:Computer Vision	Lecture 31 - Feature Matching And Model Fitting- Part III
Link	NOC:Computer Vision	Lecture 32 - Feature Matching And Model Fitting- Part IV
Link	NOC:Computer Vision	Lecture 33 - Feature Matching And Model Fitting- Part V
Link	NOC:Computer Vision	Lecture 34 - Color Fundamentals And Processing-Part I
Link	NOC:Computer Vision	Lecture 35 - Color Fundamentals And Processing-Part II
Link	NOC:Computer Vision	Lecture 36 - Color Fundamentals And Processing-Part III
Link	NOC:Computer Vision	Lecture 37 - Color Fundamentals And Processing-Part IV
Link	NOC:Computer Vision	Lecture 38 - Color Fundamentals And Processing-Part V
Link	NOC:Computer Vision	Lecture 39 - Color Fundamentals And Processing-Part VI
Link	NOC:Computer Vision	Lecture 40 - Color Fundamentals And Processing-Part VII
Link	NOC:Computer Vision	Lecture 41 - Range Image Processing - Part I
Link	NOC:Computer Vision	Lecture 42 - Range Image Processing - Part II
Link	NOC:Computer Vision	Lecture 43 - Range Image Processing - Part III
Link	NOC:Computer Vision	Lecture 44 - Range Image Processing - Part IV
Link	NOC:Computer Vision	Lecture 45 - Range Image Processing - Part V
Link	NOC:Computer Vision	Lecture 46 - Clustering and Classification - Part I
Link	NOC:Computer Vision	Lecture 47 - Clustering and Classification - Part II
Link	NOC:Computer Vision	Lecture 48 - Clustering and Classification - Part III
Link	NOC:Computer Vision	Lecture 49 - Clustering and Classification - Part IV
Link	NOC:Computer Vision	Lecture 50 - Clustering and Classification - Part V
Link	NOC:Computer Vision	Lecture 51 - Dimensional Reduction And Sparse Representation - Part I
Link	NOC:Computer Vision	Lecture 52 - Dimensional Reduction And Sparse Representation - Part II
Link	NOC:Computer Vision	Lecture 53 - Dimensional Reduction And Sparse Representation - Part III
Link	NOC:Computer Vision	Lecture 54 - Dimensional Reduction And Sparse Representation - Part IV
Link	NOC:Computer Vision	Lecture 55 - Deep Neural Architecture And Applications - Part I
Link	NOC:Computer Vision	Lecture 56 - Deep Neural Architecture And Applications - Part II
Link	NOC:Computer Vision	Lecture 57 - Deep Neural Architecture And Applications - Part III
Link	NOC:Computer Vision	Lecture 58 - Deep Neural Architecture And Applications - Part IV
Link	NOC:Computer Vision	Lecture 59 - Deep Neural Architecture And Applications - Part V
Link	NOC:Computer Vision	Lecture 60 - Deep Neural Architecture And Applications - Part VI
Link	NOC:Ethical Hacking	Lecture 1 - Introduction to Ethical Hacking
Link	NOC:Ethical Hacking	Lecture 2 - Basic Concepts of Networking - Part I
Link	NOC:Ethical Hacking	Lecture 3 - Basic Concepts of Networking - Part II
Link	NOC:Ethical Hacking	Lecture 4 - TCP/IP Protocol Stack - Part I
Link	NOC:Ethical Hacking	Lecture 5 - TCP/IP Protocol Stack - Part II
Link	NOC:Ethical Hacking	Lecture 6 - IP addressing and routing - Part I
Link	NOC:Ethical Hacking	Lecture 7 - IP addressing and routing - Part II
Link	NOC:Ethical Hacking	Lecture 8 - TCP and UDP - Part I
Link	NOC:Ethical Hacking	Lecture 9 - TCP and UDP - Part II
Link	NOC:Ethical Hacking	Lecture 10 - IP subnetting
Link	NOC:Ethical Hacking	Lecture 11 - Routing protocols - Part I
Link	NOC:Ethical Hacking	Lecture 12 - Routing protocols - Part II
Link	NOC:Ethical Hacking	Lecture 13 - Routing protocols - Part III
Link	NOC:Ethical Hacking	Lecture 14 - IP version 6
Link	NOC:Ethical Hacking	Lecture 15 - Routing examples
Link	NOC:Ethical Hacking	Lecture 16 - Demonstration - Part I
Link	NOC:Ethical Hacking	Lecture 17 - Demonstration - Part II
Link	NOC:Ethical Hacking	Lecture 18 - Demonstration - Part III
Link	NOC:Ethical Hacking	Lecture 19 - Nessus Installation
Link	NOC:Ethical Hacking	Lecture 20 - How to use nessus
Link	NOC:Ethical Hacking	Lecture 21 - Metasploit Exploiting System Software - I
Link	NOC:Ethical Hacking	Lecture 22 - Metasploit Exploiting System Software - II
Link	NOC:Ethical Hacking	Lecture 23 - Metasploit Exploiting System Software and Privilege
Link	NOC:Ethical Hacking	Lecture 24 - Metasploit Social Eng Attack
Link	NOC:Ethical Hacking	Lecture 25 - MITM (Man in The middle) Attack
Link	NOC:Ethical Hacking	Lecture 26 - Basic concepts of cryptography
Link	NOC:Ethical Hacking	Lecture 27 - Private-key cryptography - Part I
Link	NOC:Ethical Hacking	Lecture 28 - Private-key cryptography - Part II
Link	NOC:Ethical Hacking	Lecture 29 - Public-key cryptography - Part I
Link	NOC:Ethical Hacking	Lecture 30 - Public-key cryptography - Part II
Link	NOC:Ethical Hacking	Lecture 31 - Cryptographic hash functions - Part I
Link	NOC:Ethical Hacking	Lecture 32 - Cryptographic hash functions - Part II
Link	NOC:Ethical Hacking	Lecture 33 - Digital signature and certificate
Link	NOC:Ethical Hacking	Lecture 34 - Applications - Part I
Link	NOC:Ethical Hacking	Lecture 35 - Applications - Part II
Link	NOC:Ethical Hacking	Lecture 36 - Steganography
Link	NOC:Ethical Hacking	Lecture 37 - Biometrics
Link	NOC:Ethical Hacking	Lecture 38 - Network Based Attacks - Part I
Link	NOC:Ethical Hacking	Lecture 39 - Network Based Attacks - Part II
Link	NOC:Ethical Hacking	Lecture 40 - DNS and Email Security
Link	NOC:Ethical Hacking	Lecture 41 - Password cracking
Link	NOC:Ethical Hacking	Lecture 42 - Phishing attack
Link	NOC:Ethical Hacking	Lecture 43 - Maloeware
Link	NOC:Ethical Hacking	Lecture 44 - Wifi hacking
Link	NOC:Ethical Hacking	Lecture 45 - Dos and DDos attack
Link	NOC:Ethical Hacking	Lecture 46 - Elements of Hardware Security
Link	NOC:Ethical Hacking	Lecture 47 - Side Channel Attacks - Part I
Link	NOC:Ethical Hacking	Lecture 48 - Side Channel Attacks - Part II
Link	NOC:Ethical Hacking	Lecture 49 - Physical Unclonable Function
Link	NOC:Ethical Hacking	Lecture 50 - Hardware Trojan
Link	NOC:Ethical Hacking	Lecture 51 - Web Application Vulnerability Scanning
Link	NOC:Ethical Hacking	Lecture 52 - SQL Injection Authentication Bypass - Part 1
Link	NOC:Ethical Hacking	Lecture 53 - SQL Injection Error Based - Part 2
Link	NOC:Ethical Hacking	Lecture 54 - SQL Injection Error Based from Web Application - Part 3
Link	NOC:Ethical Hacking	Lecture 55 - SQLMAP
Link	NOC:Ethical Hacking	Lecture 56 - Cross Site Scripting
Link	NOC:Ethical Hacking	Lecture 57 - File Upload Vulnerability
Link	NOC:Ethical Hacking	Lecture 58 - The NMAP Tool: A Relook - Part I
Link	NOC:Ethical Hacking	Lecture 59 - The NMAP Tool: A Relook - Part II
Link	NOC:Ethical Hacking	Lecture 60 - The NMAP Tool: A Relook - Part III
Link	NOC:Ethical Hacking	Lecture 61 - Network Analysis using Wireshark
Link	NOC:Ethical Hacking	Lecture 62 - Summarization of the Course
Link	NOC:Software Project Management	Lecture 1 - Introduction - I
Link	NOC:Software Project Management	Lecture 2 - Introduction - II
Link	NOC:Software Project Management	Lecture 3 - Introduction - III
Link	NOC:Software Project Management	Lecture 4 - Project Management Standards
Link	NOC:Software Project Management	Lecture 5 - Life Cycle Models - I
Link	NOC:Software Project Management	Lecture 6 - Life Cycle Models - II
Link	NOC:Software Project Management	Lecture 7 - Life Cycle Models - III
Link	NOC:Software Project Management	Lecture 8 - Life Cycle Models - IV
Link	NOC:Software Project Management	Lecture 9 - Life Cycle Models - V
Link	NOC:Software Project Management	Lecture 10 - Life Cycle Models - VI
Link	NOC:Software Project Management	Lecture 11 - Project Evaluation and Programme Management
Link	NOC:Software Project Management	Lecture 12 - Project Evaluation and Programme Management (Continued...)
Link	NOC:Software Project Management	Lecture 13 - Project Evaluation and Programme Management (Continued...)
Link	NOC:Software Project Management	Lecture 14 - Project Evaluation and Programme Management (Continued...)
Link	NOC:Software Project Management	Lecture 15 - Project Evaluation and Programme Management (Continued...)
Link	NOC:Software Project Management	Lecture 16 - Project Estimation Techniques
Link	NOC:Software Project Management	Lecture 17 - Project Estimation Techniques (Continued...)
Link	NOC:Software Project Management	Lecture 18 - Project Estimation Techniques (Continued...)
Link	NOC:Software Project Management	Lecture 19 - Project Estimation Techniques (Continued...)
Link	NOC:Software Project Management	Lecture 20 - Project Estimation Techniques (Continued...)
Link	NOC:Software Project Management	Lecture 21 - Project Estimation Techniques (Continued...)
Link	NOC:Software Project Management	Lecture 22 - Project Estimation Techniques (Continued...)
Link	NOC:Software Project Management	Lecture 23 - Project Estimation Techniques (Continued...)
Link	NOC:Software Project Management	Lecture 24 - Project Estimation Techniques (Continued...)
Link	NOC:Software Project Management	Lecture 25 - Project Estimation Techniques (Continued...)
Link	NOC:Software Project Management	Lecture 26 - Project Scheduling
Link	NOC:Software Project Management	Lecture 27 - Project Scheduling Using PERT/CPM
Link	NOC:Software Project Management	Lecture 28 - Project Scheduling Using PERT/CPM (Continued...)
Link	NOC:Software Project Management	Lecture 29 - Computation of Project Characteristics Using PERT/CPM
Link	NOC:Software Project Management	Lecture 30 - Computation of Project Characteristics Using PERT/CPM: Illustration
Link	NOC:Software Project Management	Lecture 31 - PERT, Project Crashing
Link	NOC:Software Project Management	Lecture 32 - Team Management
Link	NOC:Software Project Management	Lecture 33 - Organization and Team Structure
Link	NOC:Software Project Management	Lecture 34 - Team Structure (Continued...) and Risk Management
Link	NOC:Software Project Management	Lecture 35 - Risk Management (Continued...) and Introduction to Software Quality
Link	NOC:Software Project Management	Lecture 36 - Resource Allocation
Link	NOC:Software Project Management	Lecture 37 - Resource Allocation (Continued...)
Link	NOC:Software Project Management	Lecture 38 - Resource Allocation (Continued...)
Link	NOC:Software Project Management	Lecture 39 - Project Monitoring and Control
Link	NOC:Software Project Management	Lecture 40 - Project Monitoring and Control (Continued...)
Link	NOC:Software Project Management	Lecture 41 - Project Monitoring and Control (Continued...)
Link	NOC:Software Project Management	Lecture 42 - Project Monitoring and Control (Continued...)
Link	NOC:Software Project Management	Lecture 43 - Project Monitoring and Control (Continued...)
Link	NOC:Software Project Management	Lecture 44 - Project Monitoring and Control (Continued...)
Link	NOC:Software Project Management	Lecture 45 - Project Monitoring and Control (Continued...)
Link	NOC:Software Project Management	Lecture 46 - Project Monitoring and Control (Continued...)
Link	NOC:Software Project Management	Lecture 47 - Project Monitoring and Control (Continued...)
Link	NOC:Software Project Management	Lecture 48 - Contract Management
Link	NOC:Software Project Management	Lecture 49 - Contract Management (Continued...)
Link	NOC:Software Project Management	Lecture 50 - Project Close Out
Link	NOC:Software Project Management	Lecture 51 - Software Quality Management
Link	NOC:Software Project Management	Lecture 52 - ISO 9000
Link	NOC:Software Project Management	Lecture 53 - ISO 9001, SEI CMM
Link	NOC:Software Project Management	Lecture 54 - SEI CMM (Continued...)
Link	NOC:Software Project Management	Lecture 55 - SEI CMM (Continued...)
Link	NOC:Software Project Management	Lecture 56 - Personal Software Process (PSP)
Link	NOC:Software Project Management	Lecture 57 - Software Reliability - I
Link	NOC:Software Project Management	Lecture 58 - Software Reliability - II
Link	NOC:Software Project Management	Lecture 59 - Software Reliability - III
Link	NOC:Software Project Management	Lecture 60 - Software Testing
Link	NOC:Spatial Informatics	Lecture 1 - Introduction
Link	NOC:Spatial Informatics	Lecture 2 - Spatial Data Models - 1
Link	NOC:Spatial Informatics	Lecture 3 - Spatial Data Models - 2
Link	NOC:Spatial Informatics	Lecture 4 - Spatial Data Models - 3
Link	NOC:Spatial Informatics	Lecture 5 - Spatial Data Models - 4
Link	NOC:Spatial Informatics	Lecture 6 - Spatial Web Services - 1
Link	NOC:Spatial Informatics	Lecture 7 - Spatial Web Services - 2
Link	NOC:Spatial Informatics	Lecture 8 - Spatial Web Services - 3
Link	NOC:Spatial Informatics	Lecture 9 - Spatial Web Services - 4
Link	NOC:Spatial Informatics	Lecture 10 - Spatial Web Services - Demo
Link	NOC:Spatial Informatics	Lecture 11 - Spatial Database: An Overview
Link	NOC:Spatial Informatics	Lecture 12 - Spatial Query Processing / SQL - 1
Link	NOC:Spatial Informatics	Lecture 13 - Spatial Query Processing / SQL - 2
Link	NOC:Spatial Informatics	Lecture 14 - Spatial Query Processing / SQL - 3
Link	NOC:Spatial Informatics	Lecture 15 - Spatial Query Processing / SQL - 4
Link	NOC:Spatial Informatics	Lecture 16 - Spatial Query Demo Tutorial
Link	NOC:Spatial Informatics	Lecture 17 - Spatial Indexing - I
Link	NOC:Spatial Informatics	Lecture 18 - Spatial Indexing - II
Link	NOC:Spatial Informatics	Lecture 19 - Spatial Indexing - III
Link	NOC:Spatial Informatics	Lecture 20 - Spatial Indexing - IV
Link	NOC:Spatial Informatics	Lecture 21 - Spatial Networks - I
Link	NOC:Spatial Informatics	Lecture 22 - Spatial Networks - II
Link	NOC:Spatial Informatics	Lecture 23 - Spatial Networks - III
Link	NOC:Spatial Informatics	Lecture 24 - Spatial Networks - IV
Link	NOC:Spatial Informatics	Lecture 25 - Spatial Networks - V
Link	NOC:Spatial Informatics	Lecture 26 - Spatial Analysis - I
Link	NOC:Spatial Informatics	Lecture 27 - Spatial Analysis - II
Link	NOC:Spatial Informatics	Lecture 28 - Spatial Analysis - III
Link	NOC:Spatial Informatics	Lecture 29 - Spatial Analysis - IV
Link	NOC:Spatial Informatics	Lecture 30 - Spatial Analysis - V
Link	NOC:Spatial Informatics	Lecture 31 - Remote Sensing and GIS - I
Link	NOC:Spatial Informatics	Lecture 32 - Remote Sensing and GIS - II
Link	NOC:Spatial Informatics	Lecture 33 - Remote Sensing and GIS - III
Link	NOC:Spatial Informatics	Lecture 34 - Remote Sensing and GIS - IV
Link	NOC:Spatial Informatics	Lecture 35 - Remote Sensing and GIS - V
Link	NOC:Spatial Informatics	Lecture 36 - SDS / Spatial Cloud / GeoViz - I
Link	NOC:Spatial Informatics	Lecture 37 - SDS / Spatial Cloud / GeoViz - II
Link	NOC:Spatial Informatics	Lecture 38 - SDS / Spatial Cloud / GeoViz - III
Link	NOC:Spatial Informatics	Lecture 39 - SDS / Spatial Cloud / GeoViz - IV
Link	NOC:Spatial Informatics	Lecture 40 - SDS / Spatial Cloud / GeoViz - V
Link	NOC:GPU Architectures and Programming	Lecture 1 - Review of basic COA w.r.t. performance
Link	NOC:GPU Architectures and Programming	Lecture 2 - Review of basic COA w.r.t. performance
Link	NOC:GPU Architectures and Programming	Lecture 3 - Review of basic COA w.r.t. performance
Link	NOC:GPU Architectures and Programming	Lecture 4 - Review of basic COA w.r.t. performance
Link	NOC:GPU Architectures and Programming	Lecture 5 - Intro to GPU architectures
Link	NOC:GPU Architectures and Programming	Lecture 6 - Intro to GPU architectures
Link	NOC:GPU Architectures and Programming	Lecture 7 - Intro to GPU architectures
Link	NOC:GPU Architectures and Programming	Lecture 8 - Intro to GPU architectures
Link	NOC:GPU Architectures and Programming	Lecture 9 - Intro to CUDA programming
Link	NOC:GPU Architectures and Programming	Lecture 10 - Intro to CUDA programming (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 11 - Intro to CUDA programming (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 12 - Intro to CUDA programming (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 13 - Multi-dimensional mapping of dataspace; Synchronization
Link	NOC:GPU Architectures and Programming	Lecture 14 - Multi-dimensional mapping of dataspace; Synchronization (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 15 - Multi-dimensional mapping of dataspace; Synchronization (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 16 - Warp Scheduling and Divergence
Link	NOC:GPU Architectures and Programming	Lecture 17 - Warp Scheduling and Divergence (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 18 - Warp Scheduling and Divergence (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 19 - Memory Access Coalescing
Link	NOC:GPU Architectures and Programming	Lecture 20 - Memory Access Coalescing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 21 - Memory Access Coalescing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 22 - Memory Access Coalescing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 23 - Memory Access Coalescing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 24 - Memory Access Coalescing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 25 - Memory Access Coalescing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 26 - Memory Access Coalescing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 27 - Memory Access Coalescing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 28 - Optimizing Reduction Kernels
Link	NOC:GPU Architectures and Programming	Lecture 29 - Optimizing Reduction Kernels (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 30 - Optimizing Reduction Kernels (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 31 - Optimizing Reduction Kernels (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 32 - Optimizing Reduction Kernels (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 33 - Optimizing Reduction Kernels (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 34 - Optimizing Reduction Kernels (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 35 - Kernel Fusion, Thread and Block Coarsening
Link	NOC:GPU Architectures and Programming	Lecture 36 - Kernel Fusion, Thread and Block Coarsening (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 37 - Kernel Fusion, Thread and Block Coarsening (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 38 - Kernel Fusion, Thread and Block Coarsening (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 39 - Kernel Fusion, Thread and Block Coarsening (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 40 - Kernel Fusion, Thread and Block Coarsening (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 41 - OpenCL - Runtime System
Link	NOC:GPU Architectures and Programming	Lecture 42 - OpenCL - Runtime System (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 43 - OpenCL - Runtime System (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 44 - OpenCL - Runtime System (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 45 - OpenCL - Runtime System (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 46 - OpenCL - Runtime System (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 47 - OpenCL - Runtime System (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 48 - OpenCL - Heterogeneous Computing
Link	NOC:GPU Architectures and Programming	Lecture 49 - OpenCL - Heterogeneous Computing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 50 - OpenCL - Heterogeneous Computing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 51 - OpenCL - Heterogeneous Computing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 52 - OpenCL - Heterogeneous Computing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 53 - OpenCL - Heterogeneous Computing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 54 - Efficient Neural Network Training/Inferencing
Link	NOC:GPU Architectures and Programming	Lecture 55 - Efficient Neural Network Training/Inferencing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 56 - Efficient Neural Network Training/Inferencing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 57 - Efficient Neural Network Training/Inferencing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 58 - Efficient Neural Network Training/Inferencing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 59 - Efficient Neural Network Training/Inferencing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 60 - Efficient Neural Network Training/Inferencing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 61 - Efficient Neural Network Training/Inferencing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 62 - Efficient Neural Network Training/Inferencing (Continued...)
Link	NOC:GPU Architectures and Programming	Lecture 63 - Efficient Neural Network Training/Inferencing (Continued...)
Link	NOC:Google Cloud Computing Foundation Course	Lecture 1 - Introduction to Cloud
Link	NOC:Google Cloud Computing Foundation Course	Lecture 2 - Cloud Computing
Link	NOC:Google Cloud Computing Foundation Course	Lecture 3 - Cloud vs Traditional Architecture
Link	NOC:Google Cloud Computing Foundation Course	Lecture 4 - Iaas, PaaS and SaaS
Link	NOC:Google Cloud Computing Foundation Course	Lecture 5 - Google Cloud Architecture
Link	NOC:Google Cloud Computing Foundation Course	Lecture 6 - Cloud Computing Recap Quiz
Link	NOC:Google Cloud Computing Foundation Course	Lecture 7 - Summary - Cloud Computing
Link	NOC:Google Cloud Computing Foundation Course	Lecture 8 - Introduction - Start with a Solid Platform
Link	NOC:Google Cloud Computing Foundation Course	Lecture 9 - The GCP Console
Link	NOC:Google Cloud Computing Foundation Course	Lecture 10 - Understanding Projects
Link	NOC:Google Cloud Computing Foundation Course	Lecture 11 - Billing in GCP
Link	NOC:Google Cloud Computing Foundation Course	Lecture 12 - Install and Configure Cloud SDK
Link	NOC:Google Cloud Computing Foundation Course	Lecture 13 - Use Cloud Shell
Link	NOC:Google Cloud Computing Foundation Course	Lecture 14 - GCP APIs
Link	NOC:Google Cloud Computing Foundation Course	Lecture 15 - Cloud Console Mobile App
Link	NOC:Google Cloud Computing Foundation Course	Lecture 16 - Recap Quiz - Start with a Solid Foundation
Link	NOC:Google Cloud Computing Foundation Course	Lecture 17 - Introduction
Link	NOC:Google Cloud Computing Foundation Course	Lecture 18 - Compute Options in the Cloud
Link	NOC:Google Cloud Computing Foundation Course	Lecture 19 - Exploring IaaS with Compute Engine
Link	NOC:Google Cloud Computing Foundation Course	Lecture 20 - Configuring Elastic Apps with Autoscaling
Link	NOC:Google Cloud Computing Foundation Course	Lecture 21 - Exploring PaaS with App Engine
Link	NOC:Google Cloud Computing Foundation Course	Lecture 22 - Event Driven Programs with Cloud Functions
Link	NOC:Google Cloud Computing Foundation Course	Lecture 23 - Containerizing and Orchestrating Apps with GKE
Link	NOC:Google Cloud Computing Foundation Course	Lecture 24 - Summary
Link	NOC:Google Cloud Computing Foundation Course	Lecture 25 - Introduction
Link	NOC:Google Cloud Computing Foundation Course	Lecture 26 - Storage Options in the Cloud
Link	NOC:Google Cloud Computing Foundation Course	Lecture 27 - Structured and Unstructured Storage in the Cloud
Link	NOC:Google Cloud Computing Foundation Course	Lecture 28 - Unstructured Storage using Cloud Storage
Link	NOC:Google Cloud Computing Foundation Course	Lecture 29 - SQL Managed Services
Link	NOC:Google Cloud Computing Foundation Course	Lecture 30 - Exploring Cloud SQL
Link	NOC:Google Cloud Computing Foundation Course	Lecture 31 - Cloud Spanner as a Managed Service
Link	NOC:Google Cloud Computing Foundation Course	Lecture 32 - NoSQL Managed Services Options
Link	NOC:Google Cloud Computing Foundation Course	Lecture 33 - Cloud Datastore a NoSQL Document Store
Link	NOC:Google Cloud Computing Foundation Course	Lecture 34 - Cloud Bigtable as a NoSQL Option
Link	NOC:Google Cloud Computing Foundation Course	Lecture 35 - Summary
Link	NOC:Google Cloud Computing Foundation Course	Lecture 36 - Introduction to API
Link	NOC:Google Cloud Computing Foundation Course	Lecture 37 - The Purpose of APIs
Link	NOC:Google Cloud Computing Foundation Course	Lecture 38 - Cloud Endpoints
Link	NOC:Google Cloud Computing Foundation Course	Lecture 39 - Using Apigee
Link	NOC:Google Cloud Computing Foundation Course	Lecture 40 - Managed Message Services
Link	NOC:Google Cloud Computing Foundation Course	Lecture 41 - Cloud Pub/Sub
Link	NOC:Google Cloud Computing Foundation Course	Lecture 42 - Recap Quiz - There's an API for that!
Link	NOC:Google Cloud Computing Foundation Course	Lecture 43 - Introduction - Cloud Security
Link	NOC:Google Cloud Computing Foundation Course	Lecture 44 - Introduction to security in the cloud
Link	NOC:Google Cloud Computing Foundation Course	Lecture 45 - Understanding the shared security model
Link	NOC:Google Cloud Computing Foundation Course	Lecture 46 - Explore encryption options
Link	NOC:Google Cloud Computing Foundation Course	Lecture 47 - Understand authentication and authorization
Link	NOC:Google Cloud Computing Foundation Course	Lecture 48 - Identify best practices for authorization
Link	NOC:Google Cloud Computing Foundation Course	Lecture 49 - Recap Quiz - Security
Link	NOC:Google Cloud Computing Foundation Course	Lecture 50 - Summary - Security
Link	NOC:Google Cloud Computing Foundation Course	Lecture 51 - Introduction
Link	NOC:Google Cloud Computing Foundation Course	Lecture 52 - Intro to Networking in the Cloud
Link	NOC:Google Cloud Computing Foundation Course	Lecture 53 - Defining a Virtual Private Cloud
Link	NOC:Google Cloud Computing Foundation Course	Lecture 54 - Public and Private IP Address Basics
Link	NOC:Google Cloud Computing Foundation Course	Lecture 55 - Googles Network Architecture
Link	NOC:Google Cloud Computing Foundation Course	Lecture 56 - Routes and Firewall Rules in the Cloud
Link	NOC:Google Cloud Computing Foundation Course	Lecture 57 - Multiple VPC Networks
Link	NOC:Google Cloud Computing Foundation Course	Lecture 58 - Building Hybrid Clouds
Link	NOC:Google Cloud Computing Foundation Course	Lecture 59 - Different Options for Load Balancing
Link	NOC:Google Cloud Computing Foundation Course	Lecture 60 - Recap Quiz
Link	NOC:Google Cloud Computing Foundation Course	Lecture 61 - Summary
Link	NOC:Google Cloud Computing Foundation Course	Lecture 62 - Introduction - Let Google keep an eye on things
Link	NOC:Google Cloud Computing Foundation Course	Lecture 63 - Introduction to IaC
Link	NOC:Google Cloud Computing Foundation Course	Lecture 64 - Cloud Deployment Manager
Link	NOC:Google Cloud Computing Foundation Course	Lecture 65 - Monitoring and Managing Your Services, Apps, and Infra
Link	NOC:Google Cloud Computing Foundation Course	Lecture 66 - Stackdriver
Link	NOC:Google Cloud Computing Foundation Course	Lecture 67 - Recap Quiz - Let Google keep an eye on things
Link	NOC:Google Cloud Computing Foundation Course	Lecture 68 - Summary - Let Google keep an eye on things
Link	NOC:Google Cloud Computing Foundation Course	Lecture 69 - Introduction - You have the data, but what are you doing with it?
Link	NOC:Google Cloud Computing Foundation Course	Lecture 70 - Intro to Big Data Managed Services in the Cloud
Link	NOC:Google Cloud Computing Foundation Course	Lecture 71 - Leverage Big Data Operations with Cloud Dataproc
Link	NOC:Google Cloud Computing Foundation Course	Lecture 72 - Build ETL Pipelines using Cloud Dataflow
Link	NOC:Google Cloud Computing Foundation Course	Lecture 73 - BigQuery Googles Enterprise Data Warehouse
Link	NOC:Google Cloud Computing Foundation Course	Lecture 74 - Recap Quiz - You have the data, but what are you doing with it?
Link	NOC:Google Cloud Computing Foundation Course	Lecture 75 - Summary - You have the data, but what are you doing with it?
Link	NOC:Google Cloud Computing Foundation Course	Lecture 76 - Introduction
Link	NOC:Google Cloud Computing Foundation Course	Lecture 77 - Introduction to ML
Link	NOC:Google Cloud Computing Foundation Course	Lecture 78 - ML and GCP
Link	NOC:Google Cloud Computing Foundation Course	Lecture 79 - Building Bespoke ML models
Link	NOC:Google Cloud Computing Foundation Course	Lecture 80 - Cloud AutoML
Link	NOC:Google Cloud Computing Foundation Course	Lecture 81 - Googles Pre-trained ML APIs
Link	NOC:Google Cloud Computing Foundation Course	Lecture 82 - Recap Quiz
Link	NOC:Google Cloud Computing Foundation Course	Lecture 83 - Summary
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 1 - Introduction
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 2 - Basic Concepts in UML
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 3 - Introduction to Use case Modelling
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 4 - Factoring Use Cases
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 5 - Use Case Examples
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 6 - Use Case Guidelines
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 7 - Class Diagram
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 8 - Class Relations
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 9 - Binary and Unary Associations
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 10 - Implementation of Association Relation in Java
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 11 - Implementation of Association in General Case
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 12 - Association Class and Ternary Association
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 13 - Qualified Association
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 14 - Aggregation and Composition
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 15 - Dependency Relation
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 16 - Class Diagram Exercises
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 17 - Interfaces, Packages and Abstract Classes
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 18 - Polymorphism
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 19 - State Machine Diagrams
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 20 - State Charts Overview
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 21 - Features of State Machine Model
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 22 - Example of State Machine Modelling
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 23 - Encoding a State Machine - I
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 24 - Encoding a State Machine - II
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 25 - Interaction Diagrams
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 26 - Sequence Diagram - I
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 27 - Sequence Diagram - II
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 28 - Activity Diagram
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 29 - Introduction to OOAD
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 30 - OOAD - I
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 31 - OOAD - II
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 32 - Example Application of OOAD
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 33 - CRD Cards
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 34 - Open/Closed Principle
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 35 - LSP, ISP Principles
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 36 - DIP Principle
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 37 - Introduction to Design Pattern
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 38 - GRASP Pattern: Introduction
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 39 - Expert and Creator Pattern
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 40 - Pure Fabrication, Law of Demeter
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 41 - Introduction to GOF Patterns
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 42 - Facade Pattern
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 43 - Observer Pattern - I
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 44 - Observer Pattern - II
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 45 - Singleton Pattern - I
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 46 - Singleton Pattern - II
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 47 - State Pattern - I
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 48 - State Pattern - II
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 49 - Composite Pattern - I
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 50 - Composite Pattern - II
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 51 - Adapter Pattern - I
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 52 - Adapter Pattern - II
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 53 - Bridge Pattern - I
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 54 - Bridge Pattern - II
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 55 - Proxy Pattern - I
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 56 - Proxy Pattern - II
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 57 - Decorator Pattern - I
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 58 - Decorator Pattern - II
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 59 - Decorator Pattern - III
Link	NOC:Object Oriented System Development using UML, Java and Patterns	Lecture 60 - Iterator Pattern
Link	NOC:Data Structure and Algorithms using Java	Lecture 1 - Introduction and Course Plan
Link	NOC:Data Structure and Algorithms using Java	Lecture 2 - Generic Methods
Link	NOC:Data Structure and Algorithms using Java	Lecture 3 - Basics of Generic Class
Link	NOC:Data Structure and Algorithms using Java	Lecture 4 - Parameterized Generic Class
Link	NOC:Data Structure and Algorithms using Java	Lecture 5 - Bounded Argument Generic Class
Link	NOC:Data Structure and Algorithms using Java	Lecture 6 - Basics of the Framework
Link	NOC:Data Structure and Algorithms using Java	Lecture 7 - Collection in JCF
Link	NOC:Data Structure and Algorithms using Java	Lecture 8 - Set of JCF
Link	NOC:Data Structure and Algorithms using Java	Lecture 9 - Map Framework
Link	NOC:Data Structure and Algorithms using Java	Lecture 10 - Java Legacy Classes
Link	NOC:Data Structure and Algorithms using Java	Lecture 11 - Array Data Structures
Link	NOC:Data Structure and Algorithms using Java	Lecture 12 - Programming for Arrays
Link	NOC:Data Structure and Algorithms using Java	Lecture 13 - Class ArrayList for Arrays
Link	NOC:Data Structure and Algorithms using Java	Lecture 14 - Arrays for Arrays
Link	NOC:Data Structure and Algorithms using Java	Lecture 15 - Vector Class for Arrays
Link	NOC:Data Structure and Algorithms using Java	Lecture 16 - Linked List Data Structure - Part I
Link	NOC:Data Structure and Algorithms using Java	Lecture 17 - Linked List Data Structure - Part II
Link	NOC:Data Structure and Algorithms using Java	Lecture 18 - Programming for Linked Lists - Part I
Link	NOC:Data Structure and Algorithms using Java	Lecture 19 - Programming for Linked Lists - Part II
Link	NOC:Data Structure and Algorithms using Java	Lecture 20 - Linked Lists Using JCF
Link	NOC:Data Structure and Algorithms using Java	Lecture 21 - Stack Data Structures
Link	NOC:Data Structure and Algorithms using Java	Lecture 22 - Programming for Stack
Link	NOC:Data Structure and Algorithms using Java	Lecture 23 - Stack Using JCF
Link	NOC:Data Structure and Algorithms using Java	Lecture 24 - Queue Data Structure
Link	NOC:Data Structure and Algorithms using Java	Lecture 25 - Programming for Queue
Link	NOC:Data Structure and Algorithms using Java	Lecture 26 - Queue Using JCF
Link	NOC:Data Structure and Algorithms using Java	Lecture 27 - Understanding Tree Data Structures
Link	NOC:Data Structure and Algorithms using Java	Lecture 28 - Operations on Binary Tree Data Structures
Link	NOC:Data Structure and Algorithms using Java	Lecture 29 - Binary Search Tree
Link	NOC:Data Structure and Algorithms using Java	Lecture 30 - Programming for Binary Search Tree
Link	NOC:Data Structure and Algorithms using Java	Lecture 31 - Height Balanced Binary Search Tree
Link	NOC:Data Structure and Algorithms using Java	Lecture 32 - Heap Tree
Link	NOC:Data Structure and Algorithms using Java	Lecture 33 - Programming for Heap Tree
Link	NOC:Data Structure and Algorithms using Java	Lecture 34 - Huffman Tree
Link	NOC:Data Structure and Algorithms using Java	Lecture 35 - Graph Structures
Link	NOC:Data Structure and Algorithms using Java	Lecture 36 - Graph Algorithms
Link	NOC:Data Structure and Algorithms using Java	Lecture 37 - Map Framework in Java
Link	NOC:Data Structure and Algorithms using Java	Lecture 38 - Applications of Map - Part I
Link	NOC:Data Structure and Algorithms using Java	Lecture 39 - Applications of Map - Part II
Link	NOC:Data Structure and Algorithms using Java	Lecture 40 - Collection Set
Link	NOC:Data Structure and Algorithms using Java	Lecture 41 - Operations on Set Collection
Link	NOC:Data Structure and Algorithms using Java	Lecture 42 - Introduction to java.io
Link	NOC:Data Structure and Algorithms using Java	Lecture 43 - IO with Byte Streams
Link	NOC:Data Structure and Algorithms using Java	Lecture 44 - IO with Character Streams
Link	NOC:Data Structure and Algorithms using Java	Lecture 45 - File Input-Output
Link	NOC:Data Structure and Algorithms using Java	Lecture 46 - Random Access File
Link	NOC:Data Structure and Algorithms using Java	Lecture 47 - Linear Searching Algorithms
Link	NOC:Data Structure and Algorithms using Java	Lecture 48 - Non-linear Searching Algorithms
Link	NOC:Data Structure and Algorithms using Java	Lecture 49 - Programs for Searching
Link	NOC:Data Structure and Algorithms using Java	Lecture 50 - Sorting Algorithms - Part I
Link	NOC:Data Structure and Algorithms using Java	Lecture 51 - Improved Sorting Algorithms
Link	NOC:Data Structure and Algorithms using Java	Lecture 52 - Advanced Sorting Algorithms
Link	NOC:Data Structure and Algorithms using Java	Lecture 53 - Programs for Sorting - Part I
Link	NOC:Data Structure and Algorithms using Java	Lecture 54 - Programs for Sorting - Part II
Link	NOC:Data Structure and Algorithms using Java	Lecture 55 - Sorting Using JCF
Link	NOC:Data Structure and Algorithms using Java	Lecture 56 - String Class
Link	NOC:Data Structure and Algorithms using Java	Lecture 57 - Applications of String
Link	NOC:Data Structure and Algorithms using Java	Lecture 58 - StringBuffer Class
Link	NOC:Data Structure and Algorithms using Java	Lecture 59 - Miscellaneous Utilities
Link	NOC:Data Structure and Algorithms using Java	Lecture 60 - Java Cursors
Link	NOC:Real-Time Systems	Lecture 1 - Introduction
Link	NOC:Real-Time Systems	Lecture 2 - Introduction
Link	NOC:Real-Time Systems	Lecture 3 - Characteristics of a real-time embedded system
Link	NOC:Real-Time Systems	Lecture 4 - Characteristics of a real-time embedded system
Link	NOC:Real-Time Systems	Lecture 5 - Types of real-time tasks
Link	NOC:Real-Time Systems	Lecture 6 - Events in a Real-Time System
Link	NOC:Real-Time Systems	Lecture 7 - Types of time constraints
Link	NOC:Real-Time Systems	Lecture 8 - Basics of Real-Time Task scheduling
Link	NOC:Real-Time Systems	Lecture 9 - Clock-driven schedulers
Link	NOC:Real-Time Systems	Lecture 10 - Basics of Cyclic schedulers
Link	NOC:Real-Time Systems	Lecture 11 - Cyclic Scheduler
Link	NOC:Real-Time Systems	Lecture 12 - Frame size constraints
Link	NOC:Real-Time Systems	Lecture 13 - Frame size selection: Examples
Link	NOC:Real-Time Systems	Lecture 14 - Event-driven scheduling
Link	NOC:Real-Time Systems	Lecture 15 - EDF scheduler
Link	NOC:Real-Time Systems	Lecture 16 - Variants of EDF and Rate Monotonic Scheduling
Link	NOC:Real-Time Systems	Lecture 17 - Rate Monotonic Schedulability Analysis
Link	NOC:Real-Time Systems	Lecture 18 - Rate Monotonic Schedulability Analysis
Link	NOC:Real-Time Systems	Lecture 19 - Rate Monotonic Scheduling: Miscellaneous issues
Link	NOC:Real-Time Systems	Lecture 20 - RMS Generalizations
Link	NOC:Real-Time Systems	Lecture 21 - RMS Generalizations
Link	NOC:Real-Time Systems	Lecture 22 - Handling aperiodic and sporadic tasks in rate monotonic scheduling
Link	NOC:Real-Time Systems	Lecture 23 - Handling aperiodic and sporadic tasks in rate monotonic scheduling
Link	NOC:Real-Time Systems	Lecture 24 - Coping up with Insufficient number of priorities
Link	NOC:Real-Time Systems	Lecture 25 - Handling task jitter and precedence ordering
Link	NOC:Real-Time Systems	Lecture 26 - Resource Sharing Among Real-Time Tasks
Link	NOC:Real-Time Systems	Lecture 27 - Basic priority inheritance protocol (PIP)
Link	NOC:Real-Time Systems	Lecture 28 - Highest Locker Protocol (HLP)
Link	NOC:Real-Time Systems	Lecture 29 - Priority Ceiling Protocol (PCP)
Link	NOC:Real-Time Systems	Lecture 30 - Working of Priority Ceiling Protocol
Link	NOC:Real-Time Systems	Lecture 31 - Analysis of Priority Ceiling Protocol
Link	NOC:Real-Time Systems	Lecture 32 - Introduction to Multiprocessor and Distributed Systems
Link	NOC:Real-Time Systems	Lecture 33 - Static Allocation of Tasks
Link	NOC:Real-Time Systems	Lecture 34 - Dynamic Allocation of Tasks
Link	NOC:Real-Time Systems	Lecture 35 - Centralized Clock Synchronization in Distributed RT Systems
Link	NOC:Real-Time Systems	Lecture 36 - Distributed Clock Synchronization in R-T Systems
Link	NOC:Real-Time Systems	Lecture 37 - A Few Basics in Real-Time Operating Systems
Link	NOC:Real-Time Systems	Lecture 38 - Time Services
Link	NOC:Real-Time Systems	Lecture 39 - Unix as a Real-Time Operating System
Link	NOC:Real-Time Systems	Lecture 40 - Unix as a Real-Time Operating System (Continued...)
Link	NOC:Real-Time Systems	Lecture 41 - Windows as RTOS
Link	NOC:Real-Time Systems	Lecture 42 - POSIX
Link	NOC:Real-Time Systems	Lecture 43 - Unix-Based Real-Time Operating Systems
Link	NOC:Real-Time Systems	Lecture 44 - A survey of some contemporary Real-Time Operating Systems
Link	NOC:Real-Time Systems	Lecture 45 - A survey of some contemporary Real-Time Operating Systems (Continued...)
Link	NOC:Real-Time Systems	Lecture 46 - Benchmarking Real-Time Systems
Link	NOC:Real-Time Systems	Lecture 47 - Introduction to Real-Time Communication
Link	NOC:Real-Time Systems	Lecture 48 - Basics of Real-Time Communication
Link	NOC:Real-Time Systems	Lecture 49 - Basics of Networking
Link	NOC:Real-Time Systems	Lecture 50 - Basics of Internet
Link	NOC:Real-Time Systems	Lecture 51 - Real-Time Communication in a LAN
Link	NOC:Real-Time Systems	Lecture 52 - Bounded Access Protocols for LANs
Link	NOC:Real-Time Systems	Lecture 53 - Performance Comparison and QoS Framework
Link	NOC:Real-Time Systems	Lecture 54 - Routing and Resource Reservation
Link	NOC:Real-Time Systems	Lecture 55 - Rate Control
Link	NOC:Real-Time Systems	Lecture 56 - QoS Models and Soft Real-Time Communication in a LAN
Link	NOC:Real-Time Systems	Lecture 57 - Review of Basic Database Concepts
Link	NOC:Real-Time Systems	Lecture 58 - Applications and Issues of Real-Time Database
Link	NOC:Real-Time Systems	Lecture 59 - Characteristics of Temporal Data
Link	NOC:Real-Time Systems	Lecture 60 - Locking-Based Concurrency Control In Real-Time Databases
Link	NOC:Real-Time Systems	Lecture 61 - Concurrency Control In Real-Time Databases and Commercial RT Databases
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 1 - Introduction on Proteins
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 2 - Introduction on Proteins (Continued...) and Sequence Database
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 3 - Protein Data Bank
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 4 - PDB Parsing
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 5 - Molecular Visualization Tools
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 6 - Representation and Data Structure
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 7 - Digitization of a Molecule
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 8 - Application to Protein Docking, FFT
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 9 - Implementation Details
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 10 - Hashing
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 11 - Geometric Hashing
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 12 - Geometric Hashing (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 13 - Geometric Hashing (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 14 - Molecular Surface
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 15 - Genetic Algorithm (GA) for Surface Comparison
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 16 - Monte Carlo (MC) Method
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 17 - Monte Carlo Method (Continued...) and Random Number
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 18 - Monte Carlo (MC) Method (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 19 - Protein Folding
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 20 - Protein Folding (Continued...) and Protein Design
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 21 - Protein Energy Landscape
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 22 - Protein Energy Landscape (Continued...), Limitation of MC
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 23 - Replica Exchange Monte Carlo (REMC)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 24 - Ab Initio Protein Folding
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 25 - Structure Alignment Measures
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 26 - Dynamic Programming
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 27 - Dynamic Programming (Continued...), Sequence Alignment
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 28 - Dynamic Programming (Continued...), Position Specific Scoring Matrix (PSSM)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 29 - Structure Alignment
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 30 - Structure Alignment (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 31 - Structural Classification of Proteins (SCOP)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 32 - SCOP (Continued...), Symmetry in Proteins
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 33 - Symmetry in Proteins
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 34 - Discriminating Biological Protein Interfaces from Crystal Artifacts
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 35 - Discriminating Biological Protein Interfaces from Crystal Artifacts (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 36 - Discriminating Biological Protein Interfaces from Crystal Artifacts (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 37 - Discriminating Biological Protein Interfaces from Crystal Artifacts (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 38 - Symmetry-Based Protein Complex Modeling
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 39 - Some Protein Docking Methods
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 40 - Some Protein Docking Methods (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 41 - Computational Protein Design (CPD)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 42 - Computational Protein Design (CPD) (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 43 - Protein Design Energy Function
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 44 - Protein Design Analysis
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 45 - Application of Protein Design on Drug Design
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 46 - RECM in Protein Design
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 47 - Application of Protein Design on Drug Design
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 48 - Application of Protein Design on Drug Design (Continued...), Protein Modification
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 49 - Protein Modification (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 50 - Protein Modification (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 51 - Assigning Secondary Structure to Protein Sequence
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 52 - Assigning Secondary Structure to Protein Sequence (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 53 - Machine Learning to Predict the Secondary Structure from Amino Acid Sequences
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 54 - Machine Learning to Predict the Secondary Structure from Amino Acid Sequences (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 55 - Post Translational Modification
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 56 - Predicting Protein Phosphorylation Sites
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 57 - Predicting Protein Phosphorylation Sites (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 58 - Summarizing Protein Folding and Protein Docking
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 59 - Summarizing Protein Folding and Protein Docking (Continued...)
Link	NOC:Algorithms for Protein Modelling and Engineering	Lecture 60 - Summarizing Potein Engineering
Link	NOC:Programming in Modern C++	Lecture 1 - Course Outline
Link	NOC:Programming in Modern C++	Lecture 2 - Quick Recap 01: Recap of C/1
Link	NOC:Programming in Modern C++	Lecture 3 - Quick Recap 02: Recap of C/2
Link	NOC:Programming in Modern C++	Lecture 4 - Course Overview
Link	NOC:Programming in Modern C++	Lecture 5 - IO and Loop
Link	NOC:Programming in Modern C++	Lecture 6 - Arrays and Strings
Link	NOC:Programming in Modern C++	Lecture 7 - Sorting and Searching
Link	NOC:Programming in Modern C++	Lecture 8 - Stack and Common Data Structures/Containers
Link	NOC:Programming in Modern C++	Lecture 9 - Tutorial 1: How to build a C/C++ program?: Part 1: C Preprocessor (CPP)
Link	NOC:Programming in Modern C++	Lecture 10 - Constants and Inline Functions
Link	NOC:Programming in Modern C++	Lecture 11 - Reference and Pointer
Link	NOC:Programming in Modern C++	Lecture 12 - Default Parameters and Function Overloading
Link	NOC:Programming in Modern C++	Lecture 13 - Operator Overloading
Link	NOC:Programming in Modern C++	Lecture 14 - Dynamic Memory Management
Link	NOC:Programming in Modern C++	Lecture 15 - Tutorial 2: How to build a C/C++ program?: Part 2: Build Pipeline
Link	NOC:Programming in Modern C++	Lecture 16 - Static Members
Link	NOC:Programming in Modern C++	Lecture 17 - Classes and Objects
Link	NOC:Programming in Modern C++	Lecture 18 - Access Specifiers
Link	NOC:Programming in Modern C++	Lecture 19 - Constructors, Destructors and Object Lifetime
Link	NOC:Programming in Modern C++	Lecture 20 - Copy Constructor and Copy Assignment Operator
Link	NOC:Programming in Modern C++	Lecture 21 - Const-ness
Link	NOC:Programming in Modern C++	Lecture 22 - Tutorial 3: How to build a C/C++ program?: Part 3: make Utility
Link	NOC:Programming in Modern C++	Lecture 23 - Inheritance: Part 3 (Constructor and Destructor - Object Lifetime)
Link	NOC:Programming in Modern C++	Lecture 24 - Friend Function and Friend Class
Link	NOC:Programming in Modern C++	Lecture 25 - Overloading Operator for User-Defined Types: Part 1
Link	NOC:Programming in Modern C++	Lecture 26 - Overloading Operator for User-Defined Types: Part 2
Link	NOC:Programming in Modern C++	Lecture 27 - Namespace
Link	NOC:Programming in Modern C++	Lecture 28 - Tutorial 4: How to build a C/C++ program?: Part 4: Static and Dynamic Library
Link	NOC:Programming in Modern C++	Lecture 29 - Inheritance: Part 2 (Data Member and Member Function - Override and Overload)
Link	NOC:Programming in Modern C++	Lecture 30 - Inheritance: Part 3 (Constructor and Destructor - Object Lifetime)
Link	NOC:Programming in Modern C++	Lecture 31 - Inheritance: Part 4: Phone Hierarchy
Link	NOC:Programming in Modern C++	Lecture 32 - Inheritance: Part 5: private and protected Inheritance
Link	NOC:Programming in Modern C++	Lecture 33 - Tutorial 5: Mixing C and C++ Code: Part 1: Issues and Resolutions
Link	NOC:Programming in Modern C++	Lecture 34 - Polymorphism: Part 1: Type Casting
Link	NOC:Programming in Modern C++	Lecture 35 - Polymorphism: Part 2: Static and Dynamic Binding
Link	NOC:Programming in Modern C++	Lecture 36 - Polymorphism: Part 3: Abstract Base Class
Link	NOC:Programming in Modern C++	Lecture 37 - Polymorphism: Part 4: Staff Salary Processing using C
Link	NOC:Programming in Modern C++	Lecture 38 - Polymorphism: Part 5: Staff Salary Processing using C++
Link	NOC:Programming in Modern C++	Lecture 39 - Tutorial 6: Mixing C and C++ Code: Part 2: Project Example
Link	NOC:Programming in Modern C++	Lecture 40 - Virtual Function Table
Link	NOC:Programming in Modern C++	Lecture 41 - Type Casting and Cast Operators: Part 1
Link	NOC:Programming in Modern C++	Lecture 42 - Type Casting and Cast Operators: Part 2
Link	NOC:Programming in Modern C++	Lecture 43 - Type Casting and Cast Operators: Part 3
Link	NOC:Programming in Modern C++	Lecture 44 - Multiple Inheritance
Link	NOC:Programming in Modern C++	Lecture 45 - Tutorial 7: How to design a UDT like built-in types?: Part 1: Fraction UDT
Link	NOC:Programming in Modern C++	Lecture 46 - Exceptions (Error handling in C): Part 1
Link	NOC:Programming in Modern C++	Lecture 47 - Exceptions (Error handling in C++): Part 2
Link	NOC:Programming in Modern C++	Lecture 48 - Template (Function Template): Part 1
Link	NOC:Programming in Modern C++	Lecture 49 - Template (Class Template): Part 2
Link	NOC:Programming in Modern C++	Lecture 50 - Functors: Function Objects
Link	NOC:Programming in Modern C++	Lecture 51 - Tutorial 8: How to design a UDT like built-in types?: Part 2: Int and Poly UDT
Link	NOC:Programming in Modern C++	Lecture 52 - Input-Output: File Handling in C
Link	NOC:Programming in Modern C++	Lecture 53 - Input-Output: Streams in C++
Link	NOC:Programming in Modern C++	Lecture 54 - C++ Standard Library: Part 1 (Generic Programming)
Link	NOC:Programming in Modern C++	Lecture 55 - C++ Standard Library: Part 2 (STL)
Link	NOC:Programming in Modern C++	Lecture 56 - C++ Standard Library: Part 3 (STL)
Link	NOC:Programming in Modern C++	Lecture 57 - Tutorial 9: How to design a UDT like built-in types?: Part 3: Updates and Mixes of UDTs
Link	NOC:Programming in Modern C++	Lecture 58 - C++11 and beyond: General Features: Part 1
Link	NOC:Programming in Modern C++	Lecture 59 - C++11 and beyond: General Features: Part 2
Link	NOC:Programming in Modern C++	Lecture 60 - C++11 and beyond: General Features: Part 3
Link	NOC:Programming in Modern C++	Lecture 61 - C++11 and beyond: General Features: Part 4: Rvalue and Move/1
Link	NOC:Programming in Modern C++	Lecture 62 - C++11 and beyond: General Features: Part 5: Rvalue and Move/2
Link	NOC:Programming in Modern C++	Lecture 63 - Tutorial 10: How to optimize C++11 programs using Rvalue and Move Semantics?
Link	NOC:Programming in Modern C++	Lecture 64 - C++11 and beyond: General Features: Part 6: Rvalue and Perfect Forwarding
Link	NOC:Programming in Modern C++	Lecture 65 - C++11 and beyond: General Features: Part 7: Lambda in C++/1
Link	NOC:Programming in Modern C++	Lecture 66 - C++11 and beyond: General Features: Part 8: Lambda in C++/2
Link	NOC:Programming in Modern C++	Lecture 67 - C++11 and beyond: Class Features
Link	NOC:Programming in Modern C++	Lecture 68 - C++11 and beyond: Non-class Types and Template Features
Link	NOC:Programming in Modern C++	Lecture 69 - Tutorial 11: Compatibility of C and C++: Part 1: Significant Features
Link	NOC:Programming in Modern C++	Lecture 70 - C++11 and beyond: Resource Management by Smart Pointers: Part 1
Link	NOC:Programming in Modern C++	Lecture 71 - C++11 and beyond: Resource Management by Smart Pointers: Part 2
Link	NOC:Programming in Modern C++	Lecture 72 - C++11 and beyond: Concurrency: Part 1
Link	NOC:Programming in Modern C++	Lecture 73 - C++11 and beyond: Concurrency: Part 2
Link	NOC:Programming in Modern C++	Lecture 74 - Closing Comments
Link	NOC:Programming in Modern C++	Lecture 75 - Tutorial 12: Compatibility of C and C++: Part 2: Summary
Link	NOC:Blockchain and its Applications	Lecture 1 - The Model of Decentralization
Link	NOC:Blockchain and its Applications	Lecture 2 - What is Blockchain
Link	NOC:Blockchain and its Applications	Lecture 3 - Basic Cryptographic Primitives - I
Link	NOC:Blockchain and its Applications	Lecture 4 - Basic Cryptographic Primitives - II
Link	NOC:Blockchain and its Applications	Lecture 5 - Basic Cryptographic Primitives - III
Link	NOC:Blockchain and its Applications	Lecture 6 - Basic Cryptographic Primitives - IV
Link	NOC:Blockchain and its Applications	Lecture 7 - Basic Cryptographic Primitives - V
Link	NOC:Blockchain and its Applications	Lecture 8 - Distributed Systems for Decentralization - The Beginning
Link	NOC:Blockchain and its Applications	Lecture 9 - The Evolution of Cryptocurrencies
Link	NOC:Blockchain and its Applications	Lecture 10 - Open Consensus and Bitcoin
Link	NOC:Blockchain and its Applications	Lecture 11 - Bitcoin Mining and Beyond
Link	NOC:Blockchain and its Applications	Lecture 12 - Smart Contracts and the Permissioned Models of Blockchain
Link	NOC:Blockchain and its Applications	Lecture 13 - Blockchain Elements - I
Link	NOC:Blockchain and its Applications	Lecture 14 - Blockchain Elements - II
Link	NOC:Blockchain and its Applications	Lecture 15 - Blockchain Elements - III
Link	NOC:Blockchain and its Applications	Lecture 16 - Blockchain Elements - IV
Link	NOC:Blockchain and its Applications	Lecture 17 - Blockchain Elements - V
Link	NOC:Blockchain and its Applications	Lecture 18 - Permissionless Model and Open Consensus
Link	NOC:Blockchain and its Applications	Lecture 19 - Nakamoto Consensus (Proof of Work)
Link	NOC:Blockchain and its Applications	Lecture 20 - Limitations of PoW: Forking and Security
Link	NOC:Blockchain and its Applications	Lecture 21 - Beyond PoW
Link	NOC:Blockchain and its Applications	Lecture 22 - Ethereum 1
Link	NOC:Blockchain and its Applications	Lecture 23 - Ethereum 2
Link	NOC:Blockchain and its Applications	Lecture 24 - Ethereum 3
Link	NOC:Blockchain and its Applications	Lecture 25 - Ethereum 4
Link	NOC:Blockchain and its Applications	Lecture 26 - Consensus for Permissioned Models
Link	NOC:Blockchain and its Applications	Lecture 27 - State Machine Replication as Distributed Consensus
Link	NOC:Blockchain and its Applications	Lecture 28 - Paxos
Link	NOC:Blockchain and its Applications	Lecture 29 - Paxos - Safety and Liveness
Link	NOC:Blockchain and its Applications	Lecture 30 - Byzantine Faults
Link	NOC:Blockchain and its Applications	Lecture 31 - Byzantine Agreement Protocols
Link	NOC:Blockchain and its Applications	Lecture 32 - Safety and Liveness of PBFT
Link	NOC:Blockchain and its Applications	Lecture 33 - Enterprise Blockchains
Link	NOC:Blockchain and its Applications	Lecture 34 - Hyperledger Fabric 1
Link	NOC:Blockchain and its Applications	Lecture 35 - Hyperledger Fabric 2
Link	NOC:Blockchain and its Applications	Lecture 36 - Hyperledger Fabric 3
Link	NOC:Blockchain and its Applications	Lecture 37 - Hyperledger Fabric 4
Link	NOC:Blockchain and its Applications	Lecture 38 - Consensus Scalability
Link	NOC:Blockchain and its Applications	Lecture 39 - Bitcoin-NG
Link	NOC:Blockchain and its Applications	Lecture 40 - Collective Signing (CoSi)
Link	NOC:Blockchain and its Applications	Lecture 41 - ByzCoin
Link	NOC:Blockchain and its Applications	Lecture 42 - Algorand
Link	NOC:Blockchain and its Applications	Lecture 43 - Identity Management - I
Link	NOC:Blockchain and its Applications	Lecture 44 - Identity Management - II
Link	NOC:Blockchain and its Applications	Lecture 45 - Identity Management - III
Link	NOC:Blockchain and its Applications	Lecture 46 - Blockchain Interoperability - I
Link	NOC:Blockchain and its Applications	Lecture 47 - Blockchain Interoperability - II
Link	NOC:Blockchain and its Applications	Lecture 48 - Blockchain Interoperability - III
Link	NOC:Blockchain and its Applications	Lecture 49 - Hyperledger Indy - I
Link	NOC:Blockchain and its Applications	Lecture 50 - Hyperledger Indy - II
Link	NOC:Blockchain and its Applications	Lecture 51 - Hyperledger Aries
Link	NOC:Blockchain and its Applications	Lecture 52 - Blockchain Security - I
Link	NOC:Blockchain and its Applications	Lecture 53 - Blockchain Security - II
Link	NOC:Blockchain and its Applications	Lecture 54 - Blockchain Security - III
Link	NOC:Blockchain and its Applications	Lecture 55 - Use Cases
Link	NOC:Blockchain and its Applications	Lecture 56 - A Potential Use Case From a Critics Perspective
Link	NOC:Blockchain and its Applications	Lecture 57 - Blockchain in Financial Services
Link	NOC:Blockchain and its Applications	Lecture 58 - Public Sector Use Cases
Link	NOC:Blockchain and its Applications	Lecture 59 - Blockchain for Decentralized Marketplace - Part 1
Link	NOC:Blockchain and its Applications	Lecture 60 - Blockchain for Decentralized Marketplace - Part 2
Link	NOC:Algorithmic Game Theory	Lecture 1 - Introduction
Link	NOC:Algorithmic Game Theory	Lecture 2 - Assumptions of Game Theory
Link	NOC:Algorithmic Game Theory	Lecture 3 - Examples of Games
Link	NOC:Algorithmic Game Theory	Lecture 4 - Equilibrium Concepts
Link	NOC:Algorithmic Game Theory	Lecture 5 - Nash Equilibrium
Link	NOC:Algorithmic Game Theory	Lecture 6 - Indifference Principle
Link	NOC:Algorithmic Game Theory	Lecture 7 - Security of Players
Link	NOC:Algorithmic Game Theory	Lecture 8 - Minmax Theorem
Link	NOC:Algorithmic Game Theory	Lecture 9 - Implications of Minmax Theorem
Link	NOC:Algorithmic Game Theory	Lecture 10 - MSNEs of Matrix Games
Link	NOC:Algorithmic Game Theory	Lecture 11 - Iterative Eliminations of Dominated Strategies
Link	NOC:Algorithmic Game Theory	Lecture 12 - Iterative Eliminations of Dominated Strategies (Continued...)
Link	NOC:Algorithmic Game Theory	Lecture 13 - Braess's paradox
Link	NOC:Algorithmic Game Theory	Lecture 14 - Yao's Lemma and its applications
Link	NOC:Algorithmic Game Theory	Lecture 15 - Support Enumeration Algorithm
Link	NOC:Algorithmic Game Theory	Lecture 16 - Succinct game
Link	NOC:Algorithmic Game Theory	Lecture 17 - Potential Games
Link	NOC:Algorithmic Game Theory	Lecture 18 - Best Response Dynamics
Link	NOC:Algorithmic Game Theory	Lecture 19 - Fast Convergence of Best Response Dynamics
Link	NOC:Algorithmic Game Theory	Lecture 20 - Computing Îµ-PSNE for Network Congestion Games
Link	NOC:Algorithmic Game Theory	Lecture 21 - PSNE for Congestion Games
Link	NOC:Algorithmic Game Theory	Lecture 22 - PSNE for Symmetric Congestion Games
Link	NOC:Algorithmic Game Theory	Lecture 23 - Functional NP
Link	NOC:Algorithmic Game Theory	Lecture 24 - PPAD Class
Link	NOC:Algorithmic Game Theory	Lecture 25 - Sperner's Lemma
Link	NOC:Algorithmic Game Theory	Lecture 26 - Approximate MSNE Computation
Link	NOC:Algorithmic Game Theory	Lecture 27 - Correlated Equilibrium
Link	NOC:Algorithmic Game Theory	Lecture 28 - Coarse Correlated Equilibrium
Link	NOC:Algorithmic Game Theory	Lecture 29 - External Regret Framework
Link	NOC:Algorithmic Game Theory	Lecture 30 - Multiplicative Weight Algorithm
Link	NOC:Algorithmic Game Theory	Lecture 31 - Multiplicative Weight Algorithm (Continued....)
Link	NOC:Algorithmic Game Theory	Lecture 32 - Swap Regret and Correlated Equilibrium
Link	NOC:Algorithmic Game Theory	Lecture 33 - Swap Regret to External Regret Reduction
Link	NOC:Algorithmic Game Theory	Lecture 34 - Braess's paradox and Pigou's Network
Link	NOC:Algorithmic Game Theory	Lecture 35 - PoA of Selfish Routing Game
Link	NOC:Algorithmic Game Theory	Lecture 36 - PoA of Selfish Load Balancing Game
Link	NOC:Algorithmic Game Theory	Lecture 37 - Bayesian Game
Link	NOC:Algorithmic Game Theory	Lecture 38 - BNE of First Price Auction
Link	NOC:Algorithmic Game Theory	Lecture 39 - Extensive Form Game
Link	NOC:Algorithmic Game Theory	Lecture 40 - Mechanism Design Introduction
Link	NOC:Algorithmic Game Theory	Lecture 41 - Implementation of Social Choice Functions
Link	NOC:Algorithmic Game Theory	Lecture 42 - Revelation Principle
Link	NOC:Algorithmic Game Theory	Lecture 43 - Properties of Social Choice Function
Link	NOC:Algorithmic Game Theory	Lecture 44 - Gibbard-Satterthwaite Theorem
Link	NOC:Algorithmic Game Theory	Lecture 45 - Quasilinear Environment
Link	NOC:Algorithmic Game Theory	Lecture 46 - Ex-Post Efficiency
Link	NOC:Algorithmic Game Theory	Lecture 47 - VCG Mechanism
Link	NOC:Algorithmic Game Theory	Lecture 48 - Example of VCG Mechanism
Link	NOC:Algorithmic Game Theory	Lecture 49 - Weighted VCG
Link	NOC:Algorithmic Game Theory	Lecture 50 - Affine Maximizer
Link	NOC:Algorithmic Game Theory	Lecture 51 - Recap of Topics Discussed so Far
Link	NOC:Algorithmic Game Theory	Lecture 52 - Single Parameter Domain
Link	NOC:Algorithmic Game Theory	Lecture 53 - DSIC in Single Parameter Domain
Link	NOC:Algorithmic Game Theory	Lecture 54 - Mayerson's Lemma
Link	NOC:Algorithmic Game Theory	Lecture 55 - Sponsored Search Auction
Link	NOC:Algorithmic Game Theory	Lecture 56 - Intermediate Domain
Link	NOC:Algorithmic Game Theory	Lecture 57 - Algorithmic Mechanism Design
Link	NOC:Algorithmic Game Theory	Lecture 58 - Stable Matching
Link	NOC:Algorithmic Game Theory	Lecture 59 - Gale-Shapley Algorithm
Link	NOC:Algorithmic Game Theory	Lecture 60 - Properties of Stable Matching
Link	NOC:Machine Learning for Earth System Sciences	Lecture 1 - Introduction
Link	NOC:Machine Learning for Earth System Sciences	Lecture 2 - Basics of Spatio-Temporal Modeling
Link	NOC:Machine Learning for Earth System Sciences	Lecture 3 - Geostatistical Equation for Spatio-Temporal Process
Link	NOC:Machine Learning for Earth System Sciences	Lecture 4 - Gaussian Process Regression and Inverse Problems
Link	NOC:Machine Learning for Earth System Sciences	Lecture 5 - Anomaly Event Detection
Link	NOC:Machine Learning for Earth System Sciences	Lecture 6 - Extreme Events
Link	NOC:Machine Learning for Earth System Sciences	Lecture 7 - Extreme Value Theory
Link	NOC:Machine Learning for Earth System Sciences	Lecture 8 - Causality
Link	NOC:Machine Learning for Earth System Sciences	Lecture 9 - Networks
Link	NOC:Machine Learning for Earth System Sciences	Lecture 10 - Data Assimilation
Link	NOC:Machine Learning for Earth System Sciences	Lecture 11 - Challenges and Opportunities for ML in ESS
Link	NOC:Machine Learning for Earth System Sciences	Lecture 12 - Types of Machine Learning Problems in ESS
Link	NOC:Machine Learning for Earth System Sciences	Lecture 13 - Convolutional Networks for Spatial Problems
Link	NOC:Machine Learning for Earth System Sciences	Lecture 14 - Sequential Models for Temporal Problems
Link	NOC:Machine Learning for Earth System Sciences	Lecture 15 - Probabilistic Models for Earth System Science
Link	NOC:Machine Learning for Earth System Sciences	Lecture 16 - Identification of Indian Monsoon Predictors
Link	NOC:Machine Learning for Earth System Sciences	Lecture 17 - Statistical Downscaling of Rainfall with Machine Learning
Link	NOC:Machine Learning for Earth System Sciences	Lecture 18 - Detection of Anomaly and Extreme Events
Link	NOC:Machine Learning for Earth System Sciences	Lecture 19 - Identifying Causal Relations from Time-Series - 1
Link	NOC:Machine Learning for Earth System Sciences	Lecture 20 - Identifying Causal Relations from Time-Series - 2
Link	NOC:Machine Learning for Earth System Sciences	Lecture 21 - Spatio-Temporal Modelling of Extremes
Link	NOC:Machine Learning for Earth System Sciences	Lecture 22 - Hierarchical Bayesian Models for Spatio-Temporal Processes
Link	NOC:Machine Learning for Earth System Sciences	Lecture 23 - Geostatistical modelling for mapping based on in-situ measurements
Link	NOC:Machine Learning for Earth System Sciences	Lecture 24 - Nowcasting of Extreme Weather Events
Link	NOC:Machine Learning for Earth System Sciences	Lecture 25 - Discovering Clustered Weather Patterns
Link	NOC:Machine Learning for Earth System Sciences	Lecture 26 - Interpretable Machine Learning for Earth System Science
Link	NOC:Machine Learning for Earth System Sciences	Lecture 27 - Object Detection in Satellite Imagery - 1
Link	NOC:Machine Learning for Earth System Sciences	Lecture 28 - Object Detection in Satellite Imagery - 2
Link	NOC:Machine Learning for Earth System Sciences	Lecture 29 - Image Fusion from Multiple Sources for Remote Sensing
Link	NOC:Machine Learning for Earth System Sciences	Lecture 30 - Image Segmentation for Remote Sensing
Link	NOC:Machine Learning for Earth System Sciences	Lecture 31 - Satellite Imagery as a Proxy for Geophysical Measurements
Link	NOC:Machine Learning for Earth System Sciences	Lecture 32 - Precipitation Nowcasting from Remote Sensing
Link	NOC:Machine Learning for Earth System Sciences	Lecture 33 - Deep Domain Adaptation for Remote Sensing
Link	NOC:Machine Learning for Earth System Sciences	Lecture 34 - Introduction to Earth System Modelling
Link	NOC:Machine Learning for Earth System Sciences	Lecture 35 - Stochastic Weather Generator
Link	NOC:Machine Learning for Earth System Sciences	Lecture 36 - Physics-Inspired Machine Learning for Process Models - 1
Link	NOC:Machine Learning for Earth System Sciences	Lecture 37 - Physics-Inspired Machine Learning for Process Models - 2
Link	NOC:Machine Learning for Earth System Sciences	Lecture 38 - Parameterizations for Sub-Grid Processes Using ML
Link	NOC:Machine Learning for Earth System Sciences	Lecture 39 - Data Assimilation for Earth System Model Correction
Link	NOC:Machine Learning for Earth System Sciences	Lecture 40 - ML for Climate Change Projection and Course Conclusion
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 1 - Introduction to Reliability Engineering
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 2 - Introduction to Statistical Methods in Reliability
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 3 - Concept of Probability and Probability Theory
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 4 - Tutorial on Introduction to RE, SL and Probability Theory - Part I
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 5 - Conditional, Total and Reverse Probability
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 6 - Tutorial on Conditional Probability and Total Probability
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 7 - Introduction to Probability Distributions
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 8 - Introduction to Probability Distributions (Continued...)
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 9 - Discrete Probability Distribution - Part 1
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 10 - Discrete Probability Distribution - Part 2
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 11 - Tutorial on Discrete Probability Distributions
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 12 - Continuous Probability Distributions - Part 1
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 13 - Continuous Probability Distributions - Part 2
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 14 - Tutorial on Continuous Probability Distribution Functions - Part 1
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 15 - Tutorial on Continuous Probability Distribution Functions - Part 2
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 16 - Sampling Distributions - Part 1
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 17 - Sampling Distributions - Part 2
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 18 - Sampling Distributions - Part 3
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 19 - Sampling Distributions - Part 4
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 20 - Sampling Distributions - Part 5
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 21 - Tutorial on Sampling Distributions
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 22 - Statistical Inference - Part 1
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 23 - Statistical Inference - Part 2
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 24 - Statistical Inference - Part 3
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 25 - Tutorial on Statistical Inference
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 26 - Statistical Inference - Part 4
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 27 - Statistical Inference - Part 5
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 28 - Tutorial on Confidence Interval
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 29 - Statistical Inference - Part 6
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 30 - Statistical Inference - Part 7
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 31 - Statistical Inference - Part 8
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 32 - ANOVA - I
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 33 - ANOVA - II
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 34 - ANOVA - III
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 35 - ANOVA - IV
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 36 - ANOVA - V
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 37 - ANOVA - VI
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 38 - Correlation Analysis - Part I
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 39 - Correlation Analysis - Part II
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 40 - Regression Analysis - Part I
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 41 - Regression Analysis - Part II
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 42 - Regression Analysis - Part III
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 43 - Tutorial on Relation Analysis
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 44 - Auto-Regression Analysis
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 45 - Logistic Regression - Part I
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 46 - Logistic Regression - Part II
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 47 - Logistic Regression - Part III
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 48 - Tutorial on Logistic Regression
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 49 - Introduction
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 50 - Bayesian Classification - Part I
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 51 - Bayesian Classification - Part II
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 52 - k-Nearest Neighbor Classification
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 53 - Tutorial on Classification Techniques
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 54 - Support Vector Machine - Part I
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 55 - Support Vector Machine - Part II
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 56 - Support Vector Machine - Part III
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 57 - Support Vector Machine - Part IV
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 58 - Support Vector Machine - Part V
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 59 - Support Vector Machine - Part VI
Link	NOC:Statistical Learning for Reliability Analysis	Lecture 60 - Tutorial on SVM
Link	NOC:Foundations of Cyber Physical Systems	Lecture 1 - CPS: Motivational examples and compute platforms
Link	NOC:Foundations of Cyber Physical Systems	Lecture 2 - CPS: Motivational examples and compute platforms (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 3 - CPS: Motivational examples and compute platforms (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 4 - CPS: Motivational examples and compute platforms (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 5 - CPS: Motivational examples and compute platforms (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 6 - Real time sensing and communication for CPS
Link	NOC:Foundations of Cyber Physical Systems	Lecture 7 - Real time sensing and communication for CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 8 - Real time sensing and communication for CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 9 - Real time sensing and communication for CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 10 - Real time task scheduling for CPS
Link	NOC:Foundations of Cyber Physical Systems	Lecture 11 - Real time task scheduling for CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 12 - Real time task scheduling for CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 13 - Real time task scheduling for CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 14 - Real time task scheduling for CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 15 - Real time task scheduling for CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 16 - Real time task scheduling for CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 17 - Real time task scheduling for CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 18 - Dynamical system modeling, stability, controller design
Link	NOC:Foundations of Cyber Physical Systems	Lecture 19 - Dynamical system modeling, stability, controller design (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 20 - Dynamical system modeling, stability, controller design (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 21 - Dynamical system modeling, stability, controller design (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 22 - Dynamical system modeling, stability, controller design (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 23 - Dynamical system modeling, stability, controller design (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 24 - Delay-aware Design; Platform effect on Stability/Performance
Link	NOC:Foundations of Cyber Physical Systems	Lecture 25 - Delay-aware Design; Platform effect on Stability/Performance (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 26 - Delay-aware Design; Platform effect on Stability/Performance (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 27 - Delay-aware Design; Platform effect on Stability/Performance (Continued...) Corrigendum
Link	NOC:Foundations of Cyber Physical Systems	Lecture 28 - Hybrid Automata based modelling of CPS
Link	NOC:Foundations of Cyber Physical Systems	Lecture 29 - Hybrid Automata based modelling of CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 30 - Hybrid Automata based modelling of CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 31 - Hybrid Automata based modelling of CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 32 - Hybrid Automata based modelling of CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 33 - Reachability analysis
Link	NOC:Foundations of Cyber Physical Systems	Lecture 34 - Reachability analysis (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 35 - Reachability analysis (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 36 - Reachability analysis (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 37 - Lyapunov Stability, Barrier Functions
Link	NOC:Foundations of Cyber Physical Systems	Lecture 38 - Lyapunov Stability, Barrier Functions (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 39 - Lyapunov Stability, Barrier Functions (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 40 - Lyapunov Stability, Barrier Functions (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 41 - Lyapunov Stability, Barrier Functions (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 42 - Lyapunov Stability, Barrier Functions (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 43 - Quadratic Program based safe Controller Design
Link	NOC:Foundations of Cyber Physical Systems	Lecture 44 - Quadratic Program based safe Controller Design (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 45 - Quadratic Program based safe Controller Design (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 46 - Quadratic Program based safe Controller Design (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 47 - Neural Network (NN) Based controllers in CPS
Link	NOC:Foundations of Cyber Physical Systems	Lecture 48 - Neural Network (NN) Based controllers in CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 49 - Neural Network (NN) Based controllers in CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 50 - State Estimation using Kalman Filters (KF)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 51 - State Estimation using Kalman Filters (KF) (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 52 - Attack Detection and Mitigation in CPS
Link	NOC:Foundations of Cyber Physical Systems	Lecture 53 - Attack Detection and Mitigation in CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 54 - Attack Detection and Mitigation in CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 55 - Attack Detection and Mitigation in CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 56 - Attack Detection and Mitigation in CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 57 - Attack Detection and Mitigation in CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 58 - Attack Detection and Mitigation in CPS (Continued...)
Link	NOC:Foundations of Cyber Physical Systems	Lecture 59 - Attack Detection and Mitigation in CPS (Continued...)
Link	NOC:Selected Topics in Algorithms	Lecture 1 - Introduction to Maximum Flow
Link	NOC:Selected Topics in Algorithms	Lecture 2 - Ford - Fulkerson Method
Link	NOC:Selected Topics in Algorithms	Lecture 3 - Edmond - Karp Algorithm
Link	NOC:Selected Topics in Algorithms	Lecture 4 - Edmond - Karp Algorithm (Continued...)
Link	NOC:Selected Topics in Algorithms	Lecture 5 - Flow Decomposition
Link	NOC:Selected Topics in Algorithms	Lecture 6 - Maximum Bipartite Matching, Fattest Augmenting Path
Link	NOC:Selected Topics in Algorithms	Lecture 7 - Karger's Algorithm
Link	NOC:Selected Topics in Algorithms	Lecture 8 - Augmenting Path
Link	NOC:Selected Topics in Algorithms	Lecture 9 - Edmonds Blossom Algorithm
Link	NOC:Selected Topics in Algorithms	Lecture 10 - Edmond - Karp Algorithm (Continued...)
Link	NOC:Selected Topics in Algorithms	Lecture 11 - Introduction to Randomized Algorithm
Link	NOC:Selected Topics in Algorithms	Lecture 12 - Polynomial Identity Testing
Link	NOC:Selected Topics in Algorithms	Lecture 13 - Perfect Bipartite Matching, Randomized Quicksort
Link	NOC:Selected Topics in Algorithms	Lecture 14 - Concentration Inequalities: Markov, Chebyshev, Chernoff
Link	NOC:Selected Topics in Algorithms	Lecture 15 - Proof of Chernoff Bound
Link	NOC:Selected Topics in Algorithms	Lecture 16 - Coupon Collector Problem
Link	NOC:Selected Topics in Algorithms	Lecture 17 - Balls and Bins
Link	NOC:Selected Topics in Algorithms	Lecture 18 - Balls and Bins (Continued...)
Link	NOC:Selected Topics in Algorithms	Lecture 19 - Two Point Sampling
Link	NOC:Selected Topics in Algorithms	Lecture 20 - Randomized Algorithm for 2 SAT
Link	NOC:Selected Topics in Algorithms	Lecture 21 - Markov Chain, Periodicity, Stationary Distribution
Link	NOC:Selected Topics in Algorithms	Lecture 22 - Mixing Time, Reversible Markov Chain
Link	NOC:Selected Topics in Algorithms	Lecture 23 - Metropolis Algorithm, Markov Chain on Independent Sets
Link	NOC:Selected Topics in Algorithms	Lecture 24 - Random Walk on Cycles
Link	NOC:Selected Topics in Algorithms	Lecture 25 - Shuffling Cards
Link	NOC:Selected Topics in Algorithms	Lecture 26 - Monte Carlo Method, Hitting Time, Cover Time
Link	NOC:Selected Topics in Algorithms	Lecture 27 - DNF Counting
Link	NOC:Selected Topics in Algorithms	Lecture 28 - DNF Counting (Continued...)
Link	NOC:Selected Topics in Algorithms	Lecture 29 - Counting Independent Sets of a Graph
Link	NOC:Selected Topics in Algorithms	Lecture 30 - Counting Independent Sets of a Graph (Continued...)
Link	NOC:Selected Topics in Algorithms	Lecture 31 - Introduction of NP, co-NP, and P
Link	NOC:Selected Topics in Algorithms	Lecture 32 - Turing Reduction, Karp Reduction
Link	NOC:Selected Topics in Algorithms	Lecture 33 - NP - Completeness of 3SAT
Link	NOC:Selected Topics in Algorithms	Lecture 34 - NP - Completeness of Independent Set
Link	NOC:Selected Topics in Algorithms	Lecture 35 - NP - Completeness of vertex cover and clique
Link	NOC:Selected Topics in Algorithms	Lecture 36 - NP - Completeness of 3-coloring
Link	NOC:Selected Topics in Algorithms	Lecture 37 - NP - Completeness of Subset sum and Knapsack
Link	NOC:Selected Topics in Algorithms	Lecture 38 - NP - Completeness of set cover, Weak and Strong NP - completeness
Link	NOC:Selected Topics in Algorithms	Lecture 39 - Self Reduction
Link	NOC:Selected Topics in Algorithms	Lecture 40 - Randomized Approximation Algorithm
Link	NOC:Selected Topics in Algorithms	Lecture 41 - Derandomization
Link	NOC:Selected Topics in Algorithms	Lecture 42 - Travelling Salesman Problem
Link	NOC:Selected Topics in Algorithms	Lecture 43 - 2-Factor Approximation Algorithm for Metric TSP
Link	NOC:Selected Topics in Algorithms	Lecture 44 - 1.5-Factor Approximation Algorithm for Metric TSP
Link	NOC:Selected Topics in Algorithms	Lecture 45 - Approximation Algorithm for Set Cover
Link	NOC:Selected Topics in Algorithms	Lecture 46 - FPTAS for Knapsack
Link	NOC:Selected Topics in Algorithms	Lecture 47 - Introduction to Linear Program
Link	NOC:Selected Topics in Algorithms	Lecture 48 - Introduction to Linear Program (Continued...,)
Link	NOC:Selected Topics in Algorithms	Lecture 49 - Dual Fitting
Link	NOC:Selected Topics in Algorithms	Lecture 50 - Dual Fitting (Continued...)
Link	NOC:Selected Topics in Algorithms	Lecture 51 - Dual Fitting
Link	NOC:Selected Topics in Algorithms	Lecture 52 - Set Cover using LP rounding
Link	NOC:Selected Topics in Algorithms	Lecture 53 - Vertex Cover using reduction to set cover
Link	NOC:Selected Topics in Algorithms	Lecture 54 - Vertex Cover LP
Link	NOC:Selected Topics in Algorithms	Lecture 55 - Randomized Rounding
Link	NOC:Selected Topics in Algorithms	Lecture 56 - Primal Dual Scheme
Link	NOC:Selected Topics in Algorithms	Lecture 57 - Introduction to Parameterized Algorithm
Link	NOC:Selected Topics in Algorithms	Lecture 58 - Faster FPT Algorithm for Vertex Cover
Link	NOC:Selected Topics in Algorithms	Lecture 59 - Introduction to Kernelization
Link	NOC:Selected Topics in Algorithms	Lecture 60 - Linear Programming Based Kernels
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 1 - AI/ML চারপাশের নানা উদাহরণ
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 2 - AI/ML এর উপকরণ
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 3 - Supervised and Unsupervised Learning (তত্ত্বাবধানে ও তত্ত্বাবধানহীন শিক্ষা)
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 4 - ML Model ও Algorithm/লেকচার 04 : এমএল মডেল ও অ্যালগরিদম
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 5 - AI/ML problem -এর গঠন /এআই/এমএল সমস্যা - এর গঠন
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 6 - K-nearest-neighbor classification/regression/K-নিকটবর্তী-প্রতিবেশী শ্রেণীবিভাগ/রিগ্রেশন
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 7 - নৈপুণ্যের পরিমাপ : Accuracy, Precision, Recall, Confusion
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 8 - Discriminative Feature Selection
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 9 - Decision Tree Algorithm/সিদ্ধান্তলতিকা
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 10 - Classifier -এর সমষ্টি ও Random Forests
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 11 - Probability Theory িফের έদখ
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 12 - Bayesian এবং Naïve Bayes Classifier
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 13 - Linear Algebra িফের έদখা
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 14 - Linear Classifiers এবং Perceptron Algorithm
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 15 - Multi-class Linear Classifier এবং Logistic Regression
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 16 - Optimization িফের έদখা
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 17 - Linear (সরল) ও Regularized (পিরেশািধত) Regression
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 18 - Max-margin Linear Classification/সেবাЗκ বҝবধােনর έϜণীিবভাজন
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 19 - কৃΝϏম ѹায়ুতϴ/Basic Neural Networks
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 20 - Neural Network গঠন ও Backpropagation
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 21 - Overfitting and Underfitting
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 22 - Boosting-এর মাধҝেম সমΜѭবд অনুমান
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 23 - Data র মাϏা (dimensionality) িনয়ϴণ
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 24 - লেকচার ২৪ঃ শ্রেণী ও বৈশিষ্টের মানের অসাম্য
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 25 - Supervised Learning অিভযান
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 26 - Hierarchical Clustering/স্তরভিত্তিক গোষ্ঠীকরণ
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 27 - K-means Clustering/ K-গড় গোষ্ঠীকরণ
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 28 - Evaluation of Clustering/গোষ্ঠীকরণের মূল্যায়ন
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 29 - Mean-shift এবং DB-Scan গোষ্ঠীকরণ
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 30 - Graph-based Clustering/গোষ্ঠীকরণ
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 31 - Time-series/সময়ক্রমের বিশ্লেষণ
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 32 - ব্যতিক্রমী উদাহরণ চিহ্নিতকরণ
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 33 - Image/চিত্র বিশ্লেষণ
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 34 - Neural Features for Images
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 35 - লিখিত Data ও ভাষা বিশ্লেষণ
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 36 - Sequential Neural Models and Natural Language Processing
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 37 - সৃষ্টিমূলক/Generative Models, Reinforcement Learning
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 38 - Transfer Learning and Domain Adaptation
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 39 - নীতি, নিরপেক্ষতা ও বোধগম্যতা
Link	NOC:Foundations and Applications of Machine Learning (Bengali)	Lecture 40 - Machine Learning for Climate Sciences
Link	NOC:Artificial Intelligence for Economics	Lecture 1 - Network Data - Some Stories !!
Link	NOC:Artificial Intelligence for Economics	Lecture 2 - The Stable Matching Algorithm
Link	NOC:Artificial Intelligence for Economics	Lecture 3 - Uncertainty in Financial Markets : Idea of Hedging
Link	NOC:Artificial Intelligence for Economics	Lecture 4 - Uncertainty in Financial Markets : Idea of Hedging (Continued...)
Link	NOC:Artificial Intelligence for Economics	Lecture 5 - Uncertainty in Financial Markets : Idea of Hedging (Continued...)
Link	NOC:Artificial Intelligence for Economics	Lecture 6 - Unconstrained Optimization
Link	NOC:Artificial Intelligence for Economics	Lecture 7 - Constrained Optimization
Link	NOC:Artificial Intelligence for Economics	Lecture 8 - Heuristic Search Techniques
Link	NOC:Artificial Intelligence for Economics	Lecture 9 - Multi-objective Heuristic Search and Game Trees
Link	NOC:Artificial Intelligence for Economics	Lecture 10 - Clustering and Segmentation
Link	NOC:Artificial Intelligence for Economics	Lecture 11 - Decision Tree and Random Forest
Link	NOC:Artificial Intelligence for Economics	Lecture 12 - Linear Regression and Classifiers
Link	NOC:Artificial Intelligence for Economics	Lecture 13 - Uncertainty Modeling
Link	NOC:Artificial Intelligence for Economics	Lecture 14 - Neural Networks
Link	NOC:Artificial Intelligence for Economics	Lecture 15 - Deep Learning for Time Series Forecasting
Link	NOC:Artificial Intelligence for Economics	Lecture 16 - Causality in Time-Series
Link	NOC:Artificial Intelligence for Economics	Lecture 17 - Interventional Causality and Attribution
Link	NOC:Artificial Intelligence for Economics	Lecture 18 - Game Theory
Link	NOC:Artificial Intelligence for Economics	Lecture 19 - Game Theory (Continued...)
Link	NOC:Artificial Intelligence for Economics	Lecture 20 - Game Theory (Continued...) Games with Incomplete Information
Link	NOC:Artificial Intelligence for Economics	Lecture 21 - Game Theory (Continued...) Games with Incomplete Information (Continued...)
Link	NOC:Artificial Intelligence for Economics	Lecture 22 - Game Theory - Sequential Games
Link	NOC:Artificial Intelligence for Economics	Lecture 23 - Game Theory - Rubenstein Bargaining
Link	NOC:Artificial Intelligence for Economics	Lecture 24 - Network Economics
Link	NOC:Artificial Intelligence for Economics	Lecture 25 - Network Economics (Continued...)
Link	NOC:Artificial Intelligence for Economics	Lecture 26 - Introduction to Auction Theory
Link	NOC:Artificial Intelligence for Economics	Lecture 27 - Second Price Auction
Link	NOC:Artificial Intelligence for Economics	Lecture 28 - First Price Auction
Link	NOC:Artificial Intelligence for Economics	Lecture 29 - Overview of Mechanism Design
Link	NOC:Artificial Intelligence for Economics	Lecture 30 - Groves Mechanism
Link	NOC:Artificial Intelligence for Economics	Lecture 31 - VCG Mechanism
Link	NOC:Artificial Intelligence for Economics	Lecture 32 - Single Parameter Domain and Myerson Lemma
Link	NOC:Artificial Intelligence for Economics	Lecture 33 - Sponsored Search Auction
Link	NOC:Artificial Intelligence for Economics	Lecture 34 - Single Peaked Domain and Median Voting
Link	NOC:Artificial Intelligence for Economics	Lecture 35 - Dimensionality Reduction (Principal Component Analysis) – The Math Prerequisites
Link	NOC:Artificial Intelligence for Economics	Lecture 36 - Dimensionality Reduction (Principal Component Analysis) – The Technique
Link	NOC:Artificial Intelligence for Economics	Lecture 37 - Agent-based Modeling for Economics
Link	NOC:Artificial Intelligence for Economics	Lecture 38 - Computer Vision for Economics
Link	NOC:Artificial Intelligence for Economics	Lecture 39 - Text Mining and NLP for Economics
Link	NOC:Artificial Intelligence for Economics	Lecture 40 - Bias, Fairness, Ethics and Interpretability in AI
Link	NOC:Approximation Algorithm	Lecture 1 - Overview of NP-completeness and How to Tackle It
Link	NOC:Approximation Algorithm	Lecture 2 - Deterministic Rounding of Linear Program: An Approximation Algorithm for Weighted
Link	NOC:Approximation Algorithm	Lecture 3 - Overview of LP Duality and Complementary Slackness
Link	NOC:Approximation Algorithm	Lecture 4 - Dual Rounding: An Approximation Algorithm for Weighted Set Cover
Link	NOC:Approximation Algorithm	Lecture 5 - Primal dual method for Weighted Set Cover
Link	NOC:Approximation Algorithm	Lecture 6 - Greedy algorithm for Weighted Set Cover
Link	NOC:Approximation Algorithm	Lecture 7 - Dual Fitting Analysis of Greedy Set Cover
Link	NOC:Approximation Algorithm	Lecture 8 - Randomized Rounding Algorithm for Weighted Set Cover
Link	NOC:Approximation Algorithm	Lecture 9 - Scheduling Jobs with Deadlines and Release Dates on a Single Machine
Link	NOC:Approximation Algorithm	Lecture 10 - The k-Center Problem
Link	NOC:Approximation Algorithm	Lecture 11 - Local Search Algorithm for Scheduling Jobs on Multiple Identical Machines
Link	NOC:Approximation Algorithm	Lecture 12 - Greedy Algorithm for Scheduling Jobs on Multiple Identical Machines
Link	NOC:Approximation Algorithm	Lecture 13 - Inapproximability of the Traveling Salesman problem
Link	NOC:Approximation Algorithm	Lecture 14 - 2-Approximation Algorithm for Metric TSP
Link	NOC:Approximation Algorithm	Lecture 15 - 1.5-Approximation Algorithm for Metric TSP
Link	NOC:Approximation Algorithm	Lecture 16 - Edge Coloring
Link	NOC:Approximation Algorithm	Lecture 17 - Pseudo Polynomial Time Algorithm for Knapsack
Link	NOC:Approximation Algorithm	Lecture 18 - FPTAS for Knapsack
Link	NOC:Approximation Algorithm	Lecture 19 - PTAS for Minimizing Makespan for Scheduling Jobs on Constant Number of Machines
Link	NOC:Approximation Algorithm	Lecture 20 - PTAS for Minimizing Makespan for Scheduling Jobs on Parallel Identical Machines
Link	NOC:Approximation Algorithm	Lecture 21 - PTAS for Minimizing Makespan for Scheduling Jobs on Parallel Identical Machines (Continued...)
Link	NOC:Approximation Algorithm	Lecture 22 - An APTAS for Bin Packing
Link	NOC:Approximation Algorithm	Lecture 23 - An APTAS for Bin Packing (Continued...)
Link	NOC:Approximation Algorithm	Lecture 24 - 2 Factor Approximation Algorithm for Scheduling Unweighted Jobs on a Single Machine
Link	NOC:Approximation Algorithm	Lecture 25 - 3 Factor Approximation Algorithm for Scheduling Weighted Jobs on a Single Machine
Link	NOC:Approximation Algorithm	Lecture 26 - A Polynomial Time Separation Oracle for Scheduling Weighted Jobs on a Single Machine
Link	NOC:Approximation Algorithm	Lecture 27 - 3 Factor Approximation Algorithm for Prize Collecting Steiner Tree
Link	NOC:Approximation Algorithm	Lecture 28 - 3 Factor Approximation Algorithm for Prize Collecting Steiner Tree (Continued...)
Link	NOC:Approximation Algorithm	Lecture 29 - A 4 Factor Approximation Algorithm for Uncapacitated Facility Location Problem
Link	NOC:Approximation Algorithm	Lecture 30 - A 4 Factor Approximation Algorithm for Uncapacitated Facility Location Problem (Continued...)
Link	NOC:Approximation Algorithm	Lecture 31 - A 4 Factor Approximation Algorithm for Uncapacitated Facility Location Problem (Continued...)
Link	NOC:Approximation Algorithm	Lecture 32 - Randomized 1/2 Factor Approximation Algorithm for MAX-SAT and MAX-CUT
Link	NOC:Approximation Algorithm	Lecture 33 - Derandomization using Method of Conditional Expectation
Link	NOC:Approximation Algorithm	Lecture 34 - Flipping Biased Coin for Better Than .5 Approximation Algorithm for Max-SAT
Link	NOC:Approximation Algorithm	Lecture 35 - Randomized Rounding Based (1-1/e) Factor Approximation Algorithm for Max-SAT
Link	NOC:Approximation Algorithm	Lecture 36 - Best of Two Solutions for Max-SAT
Link	NOC:Approximation Algorithm	Lecture 37 - Nonlinear Rounding for Max-SAT
Link	NOC:Approximation Algorithm	Lecture 38 - Randomized Rounding for Prize Collecting Steiner Tree
Link	NOC:Approximation Algorithm	Lecture 39 - Randomized Rounding for Prize Collecting Steiner Tree (Continued...)
Link	NOC:Approximation Algorithm	Lecture 40 - Randomized Rounding for Uncapacitated Facility Location
Link	NOC:Approximation Algorithm	Lecture 41 - Chernoff Bound
Link	NOC:Approximation Algorithm	Lecture 42 - Chernoff Bound (Continued...)
Link	NOC:Approximation Algorithm	Lecture 43 - Integer Multicommodity Flow
Link	NOC:Approximation Algorithm	Lecture 44 - Primal-dual Algorithm for Minimum Weighted Feedback Vertex Set
Link	NOC:Approximation Algorithm	Lecture 45 - Primal-dual Algorithm for Minimum Weighted Feedback Vertex Set (Continued...)
Link	NOC:Approximation Algorithm	Lecture 46 - Primal-dual Algorithm for Minimum Weighted Feedback Vertex Set (Continued...)
Link	NOC:Approximation Algorithm	Lecture 47 - Primal-dual Algorithm for Steiner Forest
Link	NOC:Approximation Algorithm	Lecture 48 - Primal-dual Algorithm for Steiner Forest (Continued...)
Link	NOC:Approximation Algorithm	Lecture 49 - Primal-dual Algorithm for Steiner Forest (Continued...)
Link	NOC:Approximation Algorithm	Lecture 50 - 2-Approximation Algorithm for Multiway Cut
Link	NOC:Approximation Algorithm	Lecture 51 - 3/2-Approximation Algorithm for Multiway Cut
Link	NOC:Approximation Algorithm	Lecture 52 - 3/2-Approximation Algorithm for Multiway Cut (Continued...)
Link	NOC:Approximation Algorithm	Lecture 53 - Approximation Algorithm for Multicut
Link	NOC:Approximation Algorithm	Lecture 54 - Approximation Algorithm for Multicut (Continued...)
Link	NOC:Approximation Algorithm	Lecture 55 - Approximation Algorithm for Multicut (Continued...)
Link	NOC:Approximation Algorithm	Lecture 56 - Introduction to Semidefinite Program
Link	NOC:Approximation Algorithm	Lecture 57 - SDP Based Approximation Algorithm for Max Cut
Link	NOC:Approximation Algorithm	Lecture 58 - SDP Based Approximation Algorithm for Max Cut (Continued...)
Link	NOC:Approximation Algorithm	Lecture 59 - Inapproximability of Scheduling Jobs on Multiple Non-identical Machines
Link	NOC:Approximation Algorithm	Lecture 60 - Inapproximability of Edge Disjoint Path
Link	Pattern Recognition	Lecture 1 - Principles of Pattern Recognition I (Introduction and Uses)
Link	Pattern Recognition	Lecture 2 - Principles of Pattern Recognition II (Mathematics)
Link	Pattern Recognition	Lecture 3 - Principles of Pattern Recognition III (Classification and Bayes Decision Rule)
Link	Pattern Recognition	Lecture 4 - Clustering vs. Classification
Link	Pattern Recognition	Lecture 5 - Relevant Basics of Linear Algebra, Vector Spaces
Link	Pattern Recognition	Lecture 6 - Eigen Value and Eigen Vectors
Link	Pattern Recognition	Lecture 7 - Vector Spaces
Link	Pattern Recognition	Lecture 8 - Rank of Matrix and SVD
Link	Pattern Recognition	Lecture 9 - Types of Errors
Link	Pattern Recognition	Lecture 10 - Examples of Bayes Decision Rule
Link	Pattern Recognition	Lecture 11 - Normal Distribution and Parameter Estimation
Link	Pattern Recognition	Lecture 12 - Training Set, Test Set
Link	Pattern Recognition	Lecture 13 - Standardization, Normalization, Clustering and Metric Space
Link	Pattern Recognition	Lecture 14 - Normal Distribution and Decision Boundaries I
Link	Pattern Recognition	Lecture 15 - Normal Distribution and Decision Boundaries II
Link	Pattern Recognition	Lecture 16 - Bayes Theorem
Link	Pattern Recognition	Lecture 17 - Linear Discriminant Function and Perceptron
Link	Pattern Recognition	Lecture 18 - Perceptron Learning and Decision Boundaries
Link	Pattern Recognition	Lecture 19 - Linear and Non-Linear Decision Boundaries
Link	Pattern Recognition	Lecture 20 - K-NN Classifier
Link	Pattern Recognition	Lecture 21 - Principal Component Analysis (PCA)
Link	Pattern Recognition	Lecture 22 - Fisher’s LDA
Link	Pattern Recognition	Lecture 23 - Gaussian Mixture Model (GMM)
Link	Pattern Recognition	Lecture 24 - Assignments
Link	Pattern Recognition	Lecture 25 - Basics of Clustering, Similarity/Dissimilarity Measures, Clustering Criteria.
Link	Pattern Recognition	Lecture 26 - K-Means Algorithm and Hierarchical Clustering
Link	Pattern Recognition	Lecture 27 - K-Medoids and DBSCAN
Link	Pattern Recognition	Lecture 28 - Feature Selection : Problem statement and Uses
Link	Pattern Recognition	Lecture 29 - Feature Selection : Branch and Bound Algorithm
Link	Pattern Recognition	Lecture 30 - Feature Selection : Sequential Forward and Backward Selection
Link	Pattern Recognition	Lecture 31 - Cauchy Schwartz Inequality
Link	Pattern Recognition	Lecture 32 - Feature Selection Criteria Function: Probabilistic Separability Based
Link	Pattern Recognition	Lecture 33 - Feature Selection Criteria Function: Interclass Distance Based
Link	Pattern Recognition	Lecture 34 - Principal Components
Link	Pattern Recognition	Lecture 35 - Comparison Between Performance of Classifiers
Link	Pattern Recognition	Lecture 36 - Basics of Statistics, Covariance, and their Properties
Link	Pattern Recognition	Lecture 37 - Data Condensation, Feature Clustering, Data Visualization
Link	Pattern Recognition	Lecture 38 - Probability Density Estimation
Link	Pattern Recognition	Lecture 39 - Visualization and Aggregation
Link	Pattern Recognition	Lecture 40 - Support Vector Machine (SVM)
Link	Pattern Recognition	Lecture 41 - FCM and Soft-Computing Techniques
Link	Pattern Recognition	Lecture 42 - Examples of Uses or Application of Pattern Recognition; And When to do clustering
Link	Pattern Recognition	Lecture 43 - Examples of Real-Life Dataset
Link	Performance Evaluation of Computer Systems	Lecture 1 - Introduction to performance evaluation of computer systems
Link	Performance Evaluation of Computer Systems	Lecture 2 - How to avoid common mistakes
Link	Performance Evaluation of Computer Systems	Lecture 3 - Selection of techniques and metrics
Link	Performance Evaluation of Computer Systems	Lecture 4 - Case study: Selection of techniques and metrics
Link	Performance Evaluation of Computer Systems	Lecture 5 - Random Variables and probability distributions
Link	Performance Evaluation of Computer Systems	Lecture 6 - Probability distributions - I
Link	Performance Evaluation of Computer Systems	Lecture 7 - Probability distributions - II
Link	Performance Evaluation of Computer Systems	Lecture 8 - Probability distributions - III
Link	Performance Evaluation of Computer Systems	Lecture 9 - Stochastic process
Link	Performance Evaluation of Computer Systems	Lecture 10 - Markov Chain
Link	Performance Evaluation of Computer Systems	Lecture 11 - Slotted Aloha protocol model and discrete-time birth death process
Link	Performance Evaluation of Computer Systems	Lecture 12 - Continuous time Markov chain and queuing theory - I
Link	Performance Evaluation of Computer Systems	Lecture 13 - Queuing theory - I (Continued)
Link	Performance Evaluation of Computer Systems	Lecture 14 - Queuing theory - II
Link	Performance Evaluation of Computer Systems	Lecture 15 - Queuing theory - III
Link	Performance Evaluation of Computer Systems	Lecture 16 - Queuing theory - IV
Link	Performance Evaluation of Computer Systems	Lecture 17 - Queuing theory - V
Link	Performance Evaluation of Computer Systems	Lecture 18 - Queuing theory - VI
Link	Performance Evaluation of Computer Systems	Lecture 19 - Queuing networks - I
Link	Performance Evaluation of Computer Systems	Lecture 20 - Queuing networks - II
Link	Performance Evaluation of Computer Systems	Lecture 21 - Slotted Aloha Markov model
Link	Performance Evaluation of Computer Systems	Lecture 22 - Simulations - I
Link	Performance Evaluation of Computer Systems	Lecture 23 - Simulations - II
Link	Performance Evaluation of Computer Systems	Lecture 24 - Simulations - III
Link	Performance Evaluation of Computer Systems	Lecture 25 - Operational laws - I
Link	Performance Evaluation of Computer Systems	Lecture 26 - Operational laws - II
Link	Performance Evaluation of Computer Systems	Lecture 27 - Open and closed queuing networks
Link	Performance Evaluation of Computer Systems	Lecture 28 - Approximate MVA
Link	Performance Evaluation of Computer Systems	Lecture 29 - Convolution algorithm - I
Link	Performance Evaluation of Computer Systems	Lecture 30 - Convolution algorithm - II
Link	Performance Evaluation of Computer Systems	Lecture 31 - Load-dependent service centers
Link	Performance Evaluation of Computer Systems	Lecture 32 - Hierarchical decomposition
Link	Performance Evaluation of Computer Systems	Lecture 33 - Balanced Job Bounds
Link	Performance Evaluation of Computer Systems	Lecture 34 - Confidence interval for propotions and introduction to experimental design
Link	Performance Evaluation of Computer Systems	Lecture 35 - 2k factorial design
Link	Performance Evaluation of Computer Systems	Lecture 36 - 2k r factorial design and 2k-p fractional factorial design
Link	Performance Evaluation of Computer Systems	Lecture 37 - Programming aspects of discrete-event simulations - I
Link	Performance Evaluation of Computer Systems	Lecture 38 - Programming aspects of discrete-event simulations - II
Link	Performance Evaluation of Computer Systems	Lecture 39 - Discrete-event simulations - III
Link	Performance Evaluation of Computer Systems	Lecture 40 - PetriNets - I
Link	Performance Evaluation of Computer Systems	Lecture 41 - PetriNets - II
Link	Performance Evaluation of Computer Systems	Lecture 42 - PetriNets - III
Link	Theory of Automata, Formal Languages and Computation	Lecture 1 - Grammars and Natural Language Processing
Link	Theory of Automata, Formal Languages and Computation	Lecture 2 - Grammars and Languages Generated
Link	Theory of Automata, Formal Languages and Computation	Lecture 3 - Grammars and Languages Generated (Continued.)
Link	Theory of Automata, Formal Languages and Computation	Lecture 4 - Ambiguity in CFG
Link	Theory of Automata, Formal Languages and Computation	Lecture 5 - Simplication of CFG
Link	Theory of Automata, Formal Languages and Computation	Lecture 6 - Removal of Unit Productions, Chomsky Normal Form for CFG
Link	Theory of Automata, Formal Languages and Computation	Lecture 7 - Greibach Normal Form for CFG
Link	Theory of Automata, Formal Languages and Computation	Lecture 8 - Final State Automata
Link	Theory of Automata, Formal Languages and Computation	Lecture 9 - Non Deterministic FSA
Link	Theory of Automata, Formal Languages and Computation	Lecture 10 - Non Deterministic FSA (Continued.)
Link	Theory of Automata, Formal Languages and Computation	Lecture 11 - Non Deterministic FSA with E(Epsilon)- Moves
Link	Theory of Automata, Formal Languages and Computation	Lecture 12 - Equivalence Between FSA and Type 3 Grammars
Link	Theory of Automata, Formal Languages and Computation	Lecture 13 - Regular Expressions, Regular Expressions to NFSA
Link	Theory of Automata, Formal Languages and Computation	Lecture 14 - DFSA to Regular Expressions
Link	Theory of Automata, Formal Languages and Computation	Lecture 15 - Problems and Solutions - I
Link	Theory of Automata, Formal Languages and Computation	Lecture 16 - Pumping Lemmas for Regular Sets and CFL
Link	Theory of Automata, Formal Languages and Computation	Lecture 17 - MYHILL - Nerode Theorem
Link	Theory of Automata, Formal Languages and Computation	Lecture 18 - Minimization of DFSA
Link	Theory of Automata, Formal Languages and Computation	Lecture 19 - FSA with output Moore and Mealy Machines
Link	Theory of Automata, Formal Languages and Computation	Lecture 20 - Pushdown Automata
Link	Theory of Automata, Formal Languages and Computation	Lecture 21 - Pushdown Automata, Equivalence Between Acceptance by Empty Store and Acceptance by Final State
Link	Theory of Automata, Formal Languages and Computation	Lecture 22 - Pushdown Automata CFG to PDA
Link	Theory of Automata, Formal Languages and Computation	Lecture 23 - Pushdown Automata PDA to CFG
Link	Theory of Automata, Formal Languages and Computation	Lecture 24 - Problems and Solutions - II
Link	Theory of Automata, Formal Languages and Computation	Lecture 25 - Problems and Solutions - III
Link	Theory of Automata, Formal Languages and Computation	Lecture 26 - Turing Machines
Link	Theory of Automata, Formal Languages and Computation	Lecture 27 - Turing Machines (Continued.)
Link	Theory of Automata, Formal Languages and Computation	Lecture 28 - Turing Machine as Acceptor, Techniques for TM Construction
Link	Theory of Automata, Formal Languages and Computation	Lecture 29 - Generalized Versions of Turing Machines
Link	Theory of Automata, Formal Languages and Computation	Lecture 30 - Turing Machine as a Generating Device
Link	Theory of Automata, Formal Languages and Computation	Lecture 31 - Recursive Sets, Recursively Innumerable Sets, Encoding of TM, Halting Problem
Link	Theory of Automata, Formal Languages and Computation	Lecture 32 - Problems and Instances, Universal TM, Decidability
Link	Theory of Automata, Formal Languages and Computation	Lecture 33 - RICE'S Theorem, Linear Bounded Automata, Properties of TM
Link	Theory of Automata, Formal Languages and Computation	Lecture 34 - POST'S Correspondence Problems
Link	Theory of Automata, Formal Languages and Computation	Lecture 35 - POST'S Correspondence Problems (Continued.), Time and Tape Complexity of TM
Link	Theory of Automata, Formal Languages and Computation	Lecture 36 - NP - Complete Problems, Cook's Theorem
Link	Theory of Automata, Formal Languages and Computation	Lecture 37 - NP - Complete Problems (Continued.)
Link	Theory of Automata, Formal Languages and Computation	Lecture 38 - Regulated Rewriting
Link	Theory of Automata, Formal Languages and Computation	Lecture 39 - L-Systems
Link	Theory of Automata, Formal Languages and Computation	Lecture 40 - Grammar Systems
Link	Theory of Automata, Formal Languages and Computation	Lecture 41 - DNA Computing
Link	Theory of Automata, Formal Languages and Computation	Lecture 42 - Membrane Computing
Link	Computer Graphics	Lecture 1 - Introduction
Link	Computer Graphics	Lecture 2 - CRT Display Devices
Link	Computer Graphics	Lecture 3 - CRT Display Devices (Continued...)
Link	Computer Graphics	Lecture 4 - CRT Display Devices (Continued...)
Link	Computer Graphics	Lecture 5 - CRT Display Devices (Continued...)
Link	Computer Graphics	Lecture 6 - Transformations in 2D
Link	Computer Graphics	Lecture 7 - Transformations in 2D (Continued...)
Link	Computer Graphics	Lecture 8 - Three Dimensional Graphics
Link	Computer Graphics	Lecture 9 - Three Dimensional Graphics (Continued...)
Link	Computer Graphics	Lecture 10 - Three Dimensional Graphics (Continued...)
Link	Computer Graphics	Lecture 11 - Projection Transformations And Viewing Pipeline
Link	Computer Graphics	Lecture 12 - 3D Viewing - Projection Transformations And Viewing Pipeline
Link	Computer Graphics	Lecture 13 - Scan Converting Lines, Circles And Ellipses
Link	Computer Graphics	Lecture 14 - Scan Converting Lines, Circles And Ellipses (Continued...)
Link	Computer Graphics	Lecture 15 - Scan Converting Lines, Circles And Ellipses (Continued...)
Link	Computer Graphics	Lecture 16 - Scan Converting Lines, Circles And Ellipses (Continued...)
Link	Computer Graphics	Lecture 17 - Scan Converting Lines, Circles And Ellipses (Continued...)
Link	Computer Graphics	Lecture 18 - Polyfill- Scan Conversion Of A Polygon
Link	Computer Graphics	Lecture 19 - Scan Conversion Of A Polygon (Continued...)
Link	Computer Graphics	Lecture 20 - Clipping - Lines And Polygons
Link	Computer Graphics	Lecture 21 - Clipping Lines And Polygons
Link	Computer Graphics	Lecture 22 - Clipping Lines
Link	Computer Graphics	Lecture 23 - Solid Modelling
Link	Computer Graphics	Lecture 24 - Solid Modelling
Link	Computer Graphics	Lecture 25 - Solid Modelling (Continued...)
Link	Computer Graphics	Lecture 26 - Visible Surface Detection
Link	Computer Graphics	Lecture 27 - Visible Surface Detection (Continued...)
Link	Computer Graphics	Lecture 28 - Visible Surface Detection (Continued...)
Link	Computer Graphics	Lecture 29 - Visible Surface Detection (Continued...)
Link	Computer Graphics	Lecture 30 - Visible Surface Detection (Continued...)
Link	Computer Graphics	Lecture 31 - Visible Surface Detection (Continued...)
Link	Computer Graphics	Lecture 32 - Visible Surface Detection (Continued...)
Link	Computer Graphics	Lecture 33 - Illumination And Shading
Link	Computer Graphics	Lecture 34 - Illumination And Shading (Continued...)
Link	Computer Graphics	Lecture 35 - Illumination And Shading (Continued...)
Link	Computer Graphics	Lecture 36 - Curve Representation
Link	Computer Graphics	Lecture 37 - Curve Representation (Continued...)
Link	Computer Graphics	Lecture 38 - Curves And Surface Representation
Link	Computer Graphics	Lecture 39 - Graphics Programming Using Open GL
Link	Computer Graphics	Lecture 40 - Graphics Programming Using Open GL (Continued...)
Link	Computer Graphics	Lecture 41 - Advanced Topics: Anti Aliasing,Color,Soft Objects,Animation,Visual Effects,System Architectures
Link	Computer Graphics	Lecture 42 - Digital Image Processing Image Compression-Jpeg-Enhancements
Link	Computer Graphics	Lecture 43 - Digital Image Processing (Continued...)
Link	Computer Organization	Lecture 1 - Introduction To Computing
Link	Computer Organization	Lecture 2 - Introduction To System : Software
Link	Computer Organization	Lecture 3 - Introduction To System : Hardware
Link	Computer Organization	Lecture 4 - Processor Activities
Link	Computer Organization	Lecture 5 - Processor As a State Machine
Link	Computer Organization	Lecture 6 - Data Path Architecture
Link	Computer Organization	Lecture 7 - Data Path Controller : Micro Programmed
Link	Computer Organization	Lecture 8 - State Machine Design
Link	Computer Organization	Lecture 9 - Controller Design: Microprogrammed and Hardwired
Link	Computer Organization	Lecture 10 - Controller Design (Contd)
Link	Computer Organization	Lecture 11 - Typical Micro Instructions
Link	Computer Organization	Lecture 12 - Addressing Modes
Link	Computer Organization	Lecture 13 - Problem Exercise
Link	Computer Organization	Lecture 14 - Problem Exercise
Link	Computer Organization	Lecture 15 - Introduction to memory system
Link	Computer Organization	Lecture 16 - CPU - Memory Interaction
Link	Computer Organization	Lecture 17 - Cache Organization
Link	Computer Organization	Lecture 18 - Cache Organization
Link	Computer Organization	Lecture 19 - Virtual Memory
Link	Computer Organization	Lecture 20 - Virtual Memory
Link	Computer Organization	Lecture 21 - Performance Calculation
Link	Computer Organization	Lecture 22 - Segmentation
Link	Computer Organization	Lecture 23 - Address Translation and Protection
Link	Computer Organization	Lecture 24 - Programmed I/O
Link	Computer Organization	Lecture 25 - Interrupt Driven I/O
Link	Computer Organization	Lecture 26 - DMA : Direct Memory Access
Link	Computer Organization	Lecture 27 - Device Service Routines
Link	Computer Organization	Lecture 28 - Evolution Of I/O
Link	Computer Organization	Lecture 29 - I/O Devices
Link	Computer Organization	Lecture 30 - I/O Devices - Contd
Link	Computer Organization	Lecture 31 - Buses
Link	Computer Organization	Lecture 32 - Buses Contd
Link	Computer Organization	Lecture 33 - Conclusion
Link	Database Design	Lecture 1 - Introduction to Database Management System
Link	Database Design	Lecture 2 - Conceptual Designs
Link	Database Design	Lecture 3 - Conceptual Designs
Link	Database Design	Lecture 4 - Relational Model
Link	Database Design	Lecture 5 - Relational Model
Link	Database Design	Lecture 6 - Structured Query Language - I
Link	Database Design	Lecture 7 - Structured Query Language - II
Link	Database Design	Lecture 8 - ER Model to Relational Mapping
Link	Database Design	Lecture 9 - Functional Dependencies and Normal Form
Link	Database Design	Lecture 10 - ER Model to Relational Model Mapping
Link	Database Design	Lecture 11 - Storage Structures
Link	Database Design	Lecture 12 - Indexing Techniques Single Level
Link	Database Design	Lecture 13 - Indexing Techniques Multi Level
Link	Database Design	Lecture 14 - Constraints and Triggers
Link	Database Design	Lecture 15 - Query Processing and Optimization
Link	Database Design	Lecture 16 - Query Processing and Optimization - II
Link	Database Design	Lecture 17 - Query Processing and Optimization - III
Link	Database Design	Lecture 18 - Transaction Processing Concepts
Link	Database Design	Lecture 19 - Transaction Processing and Database Manager
Link	Database Design	Lecture 20 - Foundation for Concurrency Control
Link	Database Design	Lecture 21 - Concurrency Control Part - 1
Link	Database Design	Lecture 22 - Concurrency Control Part - 2
Link	Database Design	Lecture 23 - Concurrency Control Part - 3
Link	Database Design	Lecture 24 - Concurrency Control Part - 4
Link	Database Design	Lecture 25 - Distributed Transaction Models
Link	Database Design	Lecture 26 - Basic 2-Phase and 3-phase commit protocol
Link	Database Design	Lecture 27 - Concurrency Control for Distributed Transaction
Link	Database Design	Lecture 28 - Introduction to Transaction Recovery
Link	Database Design	Lecture 29 - Recovery Mechanisms - II
Link	Database Design	Lecture 30 - Recovery Mechanisms - III
Link	Database Design	Lecture 31 - Introduction to Data Warehousing and OLAP
Link	Database Design	Lecture 32 - Introduction to Data Warehousing and OLAP
Link	Database Design	Lecture 33 - Case Study : MySQL
Link	Database Design	Lecture 34 - Case Study ORACLE and Microsoft Access
Link	Database Design	Lecture 35 - Data Mining and Knowledge Discovery
Link	Database Design	Lecture 36 - Data Mining and Knowledge Discovery Part - II
Link	Database Design	Lecture 37 - Object Oriented Databases
Link	Database Design	Lecture 38 - Object Oriented Databases - II
Link	Database Design	Lecture 39 - XML - Introductory Concepts
Link	Database Design	Lecture 40 - XML - Advanced Concepts
Link	Database Design	Lecture 41 - XML - Databases
Link	Database Design	Lecture 42 - Case Study - Part One - Database Design
Link	Database Design	Lecture 43 - Case Study - Part Two - Database Design
Link	Discrete Mathematical Structures	Lecture 1 - Propositional Logic
Link	Discrete Mathematical Structures	Lecture 2 - Propositional Logic (Continued)
Link	Discrete Mathematical Structures	Lecture 3 - Predicates & Quantifiers
Link	Discrete Mathematical Structures	Lecture 4 - Predicates & Quantifiers (Continued)
Link	Discrete Mathematical Structures	Lecture 5 - Logical Inference
Link	Discrete Mathematical Structures	Lecture 6 - Resolution Principles & Application to PROLOG
Link	Discrete Mathematical Structures	Lecture 7 - Methods of Proof
Link	Discrete Mathematical Structures	Lecture 8 - Normal Forms
Link	Discrete Mathematical Structures	Lecture 9 - Proving Programs Correct (Continued)
Link	Discrete Mathematical Structures	Lecture 10 - Sets
Link	Discrete Mathematical Structures	Lecture 11 - Induction
Link	Discrete Mathematical Structures	Lecture 12 - Set Operations On Strings
Link	Discrete Mathematical Structures	Lecture 13 - Relations
Link	Discrete Mathematical Structures	Lecture 14 - Graphs
Link	Discrete Mathematical Structures	Lecture 15 - Graphs (Continued)
Link	Discrete Mathematical Structures	Lecture 16 - Trees
Link	Discrete Mathematical Structures	Lecture 17 - Trees And Graphs
Link	Discrete Mathematical Structures	Lecture 18 - Special Properties Of Relations
Link	Discrete Mathematical Structures	Lecture 19 - Closure Of Relations
Link	Discrete Mathematical Structures	Lecture 20 - Closure Properties Of Relations
Link	Discrete Mathematical Structures	Lecture 21 - Order Relations
Link	Discrete Mathematical Structures	Lecture 22 - Order Relations And Equivalence Relations
Link	Discrete Mathematical Structures	Lecture 23 - Equivalence Relations And Partitions
Link	Discrete Mathematical Structures	Lecture 24 - Functions
Link	Discrete Mathematical Structures	Lecture 25 - Functions (Continued)
Link	Discrete Mathematical Structures	Lecture 26 - Functions (Continued)
Link	Discrete Mathematical Structures	Lecture 27 - Pigeonhole Principle
Link	Discrete Mathematical Structures	Lecture 28 - Permutations And Combinations
Link	Discrete Mathematical Structures	Lecture 29 - Permutations And Combinations (Continued)
Link	Discrete Mathematical Structures	Lecture 30 - Generating Functions
Link	Discrete Mathematical Structures	Lecture 31 - Generating Functions (Continued)
Link	Discrete Mathematical Structures	Lecture 32 - Recurrence Relations
Link	Discrete Mathematical Structures	Lecture 33 - Recurrence Relations (Continued)
Link	Discrete Mathematical Structures	Lecture 34 - Recurrence Relations (Continued)
Link	Discrete Mathematical Structures	Lecture 35 - Algebras
Link	Discrete Mathematical Structures	Lecture 36 - Algebras (Continued)
Link	Discrete Mathematical Structures	Lecture 37 - Algebras (Continued)
Link	Discrete Mathematical Structures	Lecture 38 - Finite State Automaton
Link	Discrete Mathematical Structures	Lecture 39 - Finite State Automaton (Continued)
Link	Discrete Mathematical Structures	Lecture 40 - Lattices
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 1 - Artificial Intelligence: Introduction
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 2 - Introduction to AI
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 3 - AI Introduction: Philosophy
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 4 - AI Introduction
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 5 - Introduction: Philosophy
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 6 - State Space Search - Introduction
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 7 - Search - DFS and BFS
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 8 - Search DFID
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 9 - Heuristic Search
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 10 - Hill Climbing
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 11 - Solution Space Search, Beam Search
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 12 - TSP Greedy Methods
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 13 - Tabu Search
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 14 - Optimization - I (Simulated Annealing)
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 15 - Optimization - II (Genetic Algorithms)
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 16 - Population based methods for Optimization
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 17 - Population Based Methods II
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 18 - Branch and Bound, Dijkstra's Algorithm
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 19 - A* Algorithm
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 20 - Admissibility of A*
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 21 - A* Monotone Property, Iterative Deeping A*
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 22 - Recursive Best First Search, Sequence Allignment
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 23 - Pruning the Open and Closed lists
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 24 - Problem Decomposition with Goal Trees
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 25 - AO* Algorithm
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 26 - Game Playing
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 27 - Game Playing - Minimax Search
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 28 - Game Playing - AlphaBeta
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 29 - Game Playing - SSS *
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 30 - Rule Based Systems
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 31 - Inference Engines
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 32 - Rete Algorithm
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 33 - Planning
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 34 - Planning FSSP, BSSP
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 35 - Goal Stack Planning. Sussman's Anomaly
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 36 - Non-linear planning
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 37 - Plan Space Planning
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 38 - GraphPlan
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 39 - Constraint Satisfaction Problems
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 40 - CSP continued
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 41 - Knowledge-based systems
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 42 - Knowledge-based Systems, PL
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 43 - Propositional Logic
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 44 - Resolution Refutation for PL
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 45 - First-order Logic (FOL)
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 46 - Reasoning in FOL
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 47 - Backward chaining
Link	Artificial Intelligence (Prof. Deepak Khemani)	Lecture 48 - Resolution for FOL
Link	NOC:Programming, Data Structures and Algorithms	Lecture 1 - Introduction to Computers and Programming
Link	NOC:Programming, Data Structures and Algorithms	Lecture 2 - Writing your first program
Link	NOC:Programming, Data Structures and Algorithms	Lecture 3 - Variables, Operators and Expressions
Link	NOC:Programming, Data Structures and Algorithms	Lecture 4 - Variable declarations, more operators and precedence
Link	NOC:Programming, Data Structures and Algorithms	Lecture 5 - Input and Output Statements
Link	NOC:Programming, Data Structures and Algorithms	Lecture 6 - Conditionals
Link	NOC:Programming, Data Structures and Algorithms	Lecture 7 - Loops
Link	NOC:Programming, Data Structures and Algorithms	Lecture 8 - Video Solution to Digital Root Programming Assignment
Link	NOC:Programming, Data Structures and Algorithms	Lecture 9 - Introduction to arrays
Link	NOC:Programming, Data Structures and Algorithms	Lecture 10 - Working with 1D arrays
Link	NOC:Programming, Data Structures and Algorithms	Lecture 11 - Find prime numbers
Link	NOC:Programming, Data Structures and Algorithms	Lecture 12 - Debugging demo
Link	NOC:Programming, Data Structures and Algorithms	Lecture 13 - Multi-dimensional arrays
Link	NOC:Programming, Data Structures and Algorithms	Lecture 14 - Pointers
Link	NOC:Programming, Data Structures and Algorithms	Lecture 15 - More on pointers
Link	NOC:Programming, Data Structures and Algorithms	Lecture 16 - Arrays and pointer arithmetic
Link	NOC:Programming, Data Structures and Algorithms	Lecture 17 - Introduction to Strings
Link	NOC:Programming, Data Structures and Algorithms	Lecture 18 - More on Strings
Link	NOC:Programming, Data Structures and Algorithms	Lecture 19 - Video Solution to Print Elements of a Matrix in Spiral Order Programming Assignment
Link	NOC:Programming, Data Structures and Algorithms	Lecture 20 - Introduction to functions
Link	NOC:Programming, Data Structures and Algorithms	Lecture 21 - More details on functions
Link	NOC:Programming, Data Structures and Algorithms	Lecture 22 - Arguments, variables and parameters
Link	NOC:Programming, Data Structures and Algorithms	Lecture 23 - Pass parameters by reference
Link	NOC:Programming, Data Structures and Algorithms	Lecture 24 - Recursive functions
Link	NOC:Programming, Data Structures and Algorithms	Lecture 25 - Running time of a program
Link	NOC:Programming, Data Structures and Algorithms	Lecture 26 - Computing time complexity
Link	NOC:Programming, Data Structures and Algorithms	Lecture 27 - Video Solution to Palindrome Checker Programming Assignment
Link	NOC:Programming, Data Structures and Algorithms	Lecture 28 - Algorithms and Powering
Link	NOC:Programming, Data Structures and Algorithms	Lecture 29 - Polynomial evaluation and multiplication
Link	NOC:Programming, Data Structures and Algorithms	Lecture 30 - Linear and Binary Search Analysis
Link	NOC:Programming, Data Structures and Algorithms	Lecture 31 - Analysis of minimum and maximum in an array
Link	NOC:Programming, Data Structures and Algorithms	Lecture 32 - Sorting I: Insertion, Merge
Link	NOC:Programming, Data Structures and Algorithms	Lecture 33 - Sorting II: Counting, Radix
Link	NOC:Programming, Data Structures and Algorithms	Lecture 34 - Finding i-th smallest number
Link	NOC:Programming, Data Structures and Algorithms	Lecture 35 - Video Solution to Sorting words Programming Assignment
Link	NOC:Programming, Data Structures and Algorithms	Lecture 36 - Structures
Link	NOC:Programming, Data Structures and Algorithms	Lecture 37 - More on structures
Link	NOC:Programming, Data Structures and Algorithms	Lecture 38 - Using structures and pointers to structures
Link	NOC:Programming, Data Structures and Algorithms	Lecture 39 - Dynamic memory allocation
Link	NOC:Programming, Data Structures and Algorithms	Lecture 40 - Linked Lists
Link	NOC:Programming, Data Structures and Algorithms	Lecture 41 - Brief introduction to C++: Classes and objects
Link	NOC:Programming, Data Structures and Algorithms	Lecture 42 - Data Structures: Abstract Data Type
Link	NOC:Programming, Data Structures and Algorithms	Lecture 43 - Lists
Link	NOC:Programming, Data Structures and Algorithms	Lecture 44 - Supplementary Lesson
Link	NOC:Programming, Data Structures and Algorithms	Lecture 45 - Video Solution to Implementing a Hash Table ADT Programming Assignment
Link	NOC:Programming, Data Structures and Algorithms	Lecture 46 - Stacks: Last In First Out
Link	NOC:Programming, Data Structures and Algorithms	Lecture 47 - Queues: First In First Out
Link	NOC:Programming, Data Structures and Algorithms	Lecture 48 - Trees
Link	NOC:Programming, Data Structures and Algorithms	Lecture 49 - Tree traversal
Link	NOC:Programming, Data Structures and Algorithms	Lecture 50 - Binary Search Trees
Link	NOC:Programming, Data Structures and Algorithms	Lecture 51 - Heaps
Link	NOC:Programming, Data Structures and Algorithms	Lecture 52 - Graphs and Representation
Link	NOC:Programming, Data Structures and Algorithms	Lecture 53 - Supplementary Lesson
Link	NOC:Programming, Data Structures and Algorithms	Lecture 54 - Video Solution to the Queue in a Hospital Programming Assignment
Link	NOC:Programming, Data Structures and Algorithms	Lecture 55 - Greedy Algorithms
Link	NOC:Programming, Data Structures and Algorithms	Lecture 56 - Dynamic Programming
Link	NOC:Programming, Data Structures and Algorithms	Lecture 57 - Matrix Chain Multiplication
Link	NOC:Programming, Data Structures and Algorithms	Lecture 58 - Dijkstra's Algorithm
Link	NOC:Programming, Data Structures and Algorithms	Lecture 59 - Boyer-Moore String Matching Algorithm
Link	NOC:Programming, Data Structures and Algorithms	Lecture 60 - File I/O
Link	NOC:Programming, Data Structures and Algorithms	Lecture 61 - Modular Programming
Link	NOC:Introduction to Information Security I	Lecture 1 - Module 1 - Part 0 - Introduction to the Course
Link	NOC:Introduction to Information Security I	Lecture 2 - Module 1 - Part 1 - Definition of Information Security
Link	NOC:Introduction to Information Security I	Lecture 3 - Module 1 - Part 2 - Information Security Terminologies
Link	NOC:Introduction to Information Security I	Lecture 4 - Module 1 - Part 3 - Goals of Information Security
Link	NOC:Introduction to Information Security I	Lecture 5 - Module 1 - Part 4 - Implementation Issues of the Goals of Information Security - I
Link	NOC:Introduction to Information Security I	Lecture 6 - Module 1 - Part 5 - Implementation Issues of the Goals of Information Security - II
Link	NOC:Introduction to Information Security I	Lecture 7 - Module 1 - Part 6 - Control Mechanisms for Information Security - I
Link	NOC:Introduction to Information Security I	Lecture 8 - Module 1 - Part 7 - Access Control - Administrative and Technical
Link	NOC:Introduction to Information Security I	Lecture 9 - Module 1 - Part 8 - Passwords - Are they secure? - I
Link	NOC:Introduction to Information Security I	Lecture 10 - Module 1 - Part 9 - Access Control - Administrative and Technical
Link	NOC:Introduction to Information Security I	Lecture 11 - Module 1 - Part 10 - Passwords - Are they secure? - III
Link	NOC:Introduction to Information Security I	Lecture 12 - Module 1 - Part 11 - Multifactor Authentication - Challenges
Link	NOC:Introduction to Information Security I	Lecture 13 - Module 1 - Part 12 - Application Level Control and Information Security Planning
Link	NOC:Introduction to Information Security I	Lecture 14 - Module 1 - Part 13 - Information Security - Policy, Standard and Practice
Link	NOC:Introduction to Information Security I	Lecture 15 - Module 1 - Part 14 - Policies governing Issues, Roles and Responsibilities
Link	NOC:Introduction to Information Security I	Lecture 16 - Module 1 - Part 15 - Managing changes in Information Security Policies
Link	NOC:Introduction to Information Security I	Lecture 17 - Module 1 - Part 16 - Spheres of Information Security
Link	NOC:Introduction to Information Security I	Lecture 18 - Module 2 - Part 1 - Protecting your Personal Computer - I
Link	NOC:Introduction to Information Security I	Lecture 19 - Module 2 - part 2 - Protecting your Personal Computer - II
Link	NOC:Introduction to Information Security I	Lecture 20 - Module 2 - Part 3 - Protecting your Personal Computer - III
Link	NOC:Introduction to Information Security I	Lecture 21 - Module 2 - Part 4 - Cloud Computing (Basic Definitions) - I
Link	NOC:Introduction to Information Security I	Lecture 22 - Module 2 - Part 5 - Cloud Computing (Deployment) - II
Link	NOC:Introduction to Information Security I	Lecture 23 - Module 2 - Part 6 - Cloud Computing (Security Issues) - III
Link	NOC:Introduction to Information Security I	Lecture 24 - Module 2 - Part 7 - Cloud Computing (Trust and Risk) - IV
Link	NOC:Introduction to Information Security I	Lecture 25 - Module 2 - Part 8 - Cloud Computing (Security and Privacy Issues) - V
Link	NOC:Introduction to Information Security I	Lecture 26 - Module 2 - Part 9 - Cloud Computing (Security and Privacy Issues) - VI
Link	NOC:Introduction to Information Security I	Lecture 27 - Module 2 - Part 10 - Cloud Computing (Application and Data level security) - VII
Link	NOC:Introduction to Information Security I	Lecture 28 - Module 2 - Part 11 - Cloud Computing (Summary) - VIII
Link	NOC:Introduction to Information Security I	Lecture 29 - Module 2 - Part 12 - Standard I
Link	NOC:Introduction to Information Security I	Lecture 30 - Module 2 - Part 13 - Standard II
Link	NOC:Introduction to Information Security I	Lecture 31 - Module 2 - Part 14 - Standard III
Link	NOC:Introduction to Information Security I	Lecture 32 - Module 3 - Part 1
Link	NOC:Introduction to Information Security I	Lecture 33 - Module 3 - Part 2
Link	NOC:Introduction to Information Security I	Lecture 34 - Module 3 - Part 3
Link	NOC:Introduction to Information Security I	Lecture 35 - Module 3 - Part 4
Link	NOC:Introduction to Information Security I	Lecture 36 - Module 3 - Part 5
Link	NOC:Introduction to Information Security I	Lecture 37 - Module 3 - Part 6
Link	NOC:Introduction to Information Security I	Lecture 38 - Module 3 - Part 7
Link	NOC:Introduction to Information Security I	Lecture 39 - Module 3 - Part 8
Link	NOC:Introduction to Information Security I	Lecture 40 - Module 3 - Part 9
Link	NOC:Introduction to Information Security I	Lecture 41 - Module 4 - Part 1
Link	NOC:Introduction to Information Security I	Lecture 42 - module 4 - Part 2
Link	NOC:Introduction to Information Security I	Lecture 43 - Module 4 - Part 3
Link	NOC:Introduction to Information Security I	Lecture 44 - Module 4 - Part 4
Link	NOC:Introduction to Information Security I	Lecture 45 - Module 4 - Part 5
Link	NOC:Introduction to Information Security I	Lecture 46 - Module 4 - Part 6
Link	NOC:Introduction to Information Security I	Lecture 47 - Module 4 - Part 7
Link	NOC:Introduction to Information Security I	Lecture 48 - Module 4 - Part 8
Link	NOC:Introduction to Information Security I	Lecture 49 - Module 4 - Part 9
Link	NOC:Introduction to Information Security I	Lecture 50 - Module 4 - Part 10
Link	NOC:Introduction to Information Security I	Lecture 51 - Module 5 - Part 1
Link	NOC:Introduction to Information Security I	Lecture 52 - Module 5 - Part 2
Link	NOC:Introduction to Information Security I	Lecture 53 - Module 5 - Part 3
Link	NOC:Introduction to Information Security I	Lecture 54 - Module 5 - Part 4
Link	NOC:Introduction to Information Security I	Lecture 55 - Module 5 - Part 5
Link	NOC:Introduction to Information Security I	Lecture 56 - Module 5 - Part 6
Link	NOC:Introduction to Information Security I	Lecture 57 - Module 5 - Part 7
Link	NOC:Introduction to Information Security I	Lecture 58 - Module 6 - Part 1
Link	NOC:Introduction to Information Security I	Lecture 59 - Module 6 - Part 2
Link	NOC:Introduction to Information Security I	Lecture 60 - Module 6 - Part 3
Link	NOC:Introduction to Information Security I	Lecture 61 - Module 6 - Part 4
Link	NOC:Introduction to Information Security I	Lecture 62 - Module 6 - Part 5
Link	NOC:Introduction to Information Security I	Lecture 63 - Module 6 - Part 6
Link	NOC:Introduction to Information Security I	Lecture 64 - Module 6 - Part 7
Link	NOC:Introduction to Information Security I	Lecture 65 - Module 6 - Part 8
Link	NOC:Programming and Data structures (PDS)	Lecture 1 - A Simple C Program for Sorting
Link	NOC:Programming and Data structures (PDS)	Lecture 2 - Review of Structures, Pointers and Functions
Link	NOC:Programming and Data structures (PDS)	Lecture 3 - Recursion
Link	NOC:Programming and Data structures (PDS)	Lecture 4 - Abstract Data Types-Data + Methods
Link	NOC:Programming and Data structures (PDS)	Lecture 5 - List Data Type
Link	NOC:Programming and Data structures (PDS)	Lecture 6 - Access and update methods
Link	NOC:Programming and Data structures (PDS)	Lecture 7 - Doubly Linked List Data Type
Link	NOC:Programming and Data structures (PDS)	Lecture 8 - Doubly Linked Lists and Arrays
Link	NOC:Programming and Data structures (PDS)	Lecture 9 - ADT Stacks
Link	NOC:Programming and Data structures (PDS)	Lecture 10 - Checking of Balanced Parenthesis
Link	NOC:Programming and Data structures (PDS)	Lecture 11 - Infix and Postfix expressions and Expression evaluation
Link	NOC:Programming and Data structures (PDS)	Lecture 12 - Queue ADT Definition and Implementation
Link	NOC:Programming and Data structures (PDS)	Lecture 13 - Merging using Queue ADT and Queue types
Link	NOC:Programming and Data structures (PDS)	Lecture 14 - Tree ADT and Traversals
Link	NOC:Programming and Data structures (PDS)	Lecture 15 - Binary Tree ADT and traversals
Link	NOC:Programming and Data structures (PDS)	Lecture 16 - Tree Applications
Link	NOC:Programming and Data structures (PDS)	Lecture 17 - Binary Search Trees
Link	NOC:Programming and Data structures (PDS)	Lecture 18 - Heaps
Link	NOC:Design and Analysis of Algorithms	Lecture 1 - Course Outline
Link	NOC:Design and Analysis of Algorithms	Lecture 2 - Example: Air Travel
Link	NOC:Design and Analysis of Algorithms	Lecture 3 - Example: Xerox shop
Link	NOC:Design and Analysis of Algorithms	Lecture 4 - Example: Document similarity
Link	NOC:Design and Analysis of Algorithms	Lecture 5 - Introduction and motivation
Link	NOC:Design and Analysis of Algorithms	Lecture 6 - Input size, worst case, average case
Link	NOC:Design and Analysis of Algorithms	Lecture 7 - Quantifying efficiency: O( ), Omega( ), Theta( )
Link	NOC:Design and Analysis of Algorithms	Lecture 8 - Examples: Analysis of iterative and recursive algorithms
Link	NOC:Design and Analysis of Algorithms	Lecture 9 - Arrays and lists
Link	NOC:Design and Analysis of Algorithms	Lecture 10 - Searching in an array
Link	NOC:Design and Analysis of Algorithms	Lecture 11 - Selection Sort
Link	NOC:Design and Analysis of Algorithms	Lecture 12 - Insertion sort
Link	NOC:Design and Analysis of Algorithms	Lecture 13 - Merge sort
Link	NOC:Design and Analysis of Algorithms	Lecture 14 - Merge sort - analysis
Link	NOC:Design and Analysis of Algorithms	Lecture 15 - Quicksort
Link	NOC:Design and Analysis of Algorithms	Lecture 16 - Quicksort - analysis
Link	NOC:Design and Analysis of Algorithms	Lecture 17 - Sorting - Concluding remarks
Link	NOC:Design and Analysis of Algorithms	Lecture 18 - Introduction to graphs
Link	NOC:Design and Analysis of Algorithms	Lecture 19 - Representing graphs
Link	NOC:Design and Analysis of Algorithms	Lecture 20 - Breadth first search (BFS)
Link	NOC:Design and Analysis of Algorithms	Lecture 21 - Depth first search (DFS)
Link	NOC:Design and Analysis of Algorithms	Lecture 22 - Applications of BFS and DFS
Link	NOC:Design and Analysis of Algorithms	Lecture 23 - Directed acylic graphs: topological sort
Link	NOC:Design and Analysis of Algorithms	Lecture 24 - Directed acylic graphs: longest paths
Link	NOC:Design and Analysis of Algorithms	Lecture 25 - Single source shortest paths: Dijkstras algorithm
Link	NOC:Design and Analysis of Algorithms	Lecture 26 - Dijkstras algorithm: analysis
Link	NOC:Design and Analysis of Algorithms	Lecture 27 - Negative edge weights: Bellman-Ford algorithm
Link	NOC:Design and Analysis of Algorithms	Lecture 28 - All pairs shortest paths
Link	NOC:Design and Analysis of Algorithms	Lecture 29 - Minimum Cost Spanning Trees
Link	NOC:Design and Analysis of Algorithms	Lecture 30 - Prims Algorithm
Link	NOC:Design and Analysis of Algorithms	Lecture 31 - Kruskals algorithm
Link	NOC:Design and Analysis of Algorithms	Lecture 32 - Union-Find using arrays
Link	NOC:Design and Analysis of Algorithms	Lecture 33 - Union-Find using pointers
Link	NOC:Design and Analysis of Algorithms	Lecture 34 - Priority queues
Link	NOC:Design and Analysis of Algorithms	Lecture 35 - Heaps
Link	NOC:Design and Analysis of Algorithms	Lecture 36 - Heaps: Updating values, sorting
Link	NOC:Design and Analysis of Algorithms	Lecture 37 - Counting inversions
Link	NOC:Design and Analysis of Algorithms	Lecture 38 - Closest pair of points
Link	NOC:Design and Analysis of Algorithms	Lecture 39 - Binary Search Trees
Link	NOC:Design and Analysis of Algorithms	Lecture 40 - Balanced search trees
Link	NOC:Design and Analysis of Algorithms	Lecture 41 - Interval scheduling
Link	NOC:Design and Analysis of Algorithms	Lecture 42 - Scheduling with deadlines: minimizing lateness
Link	NOC:Design and Analysis of Algorithms	Lecture 43 - Huffman codes
Link	NOC:Design and Analysis of Algorithms	Lecture 44 - Introduction to dynamic programming
Link	NOC:Design and Analysis of Algorithms	Lecture 45 - Memoization
Link	NOC:Design and Analysis of Algorithms	Lecture 46 - Grid Paths
Link	NOC:Design and Analysis of Algorithms	Lecture 47 - Common subwords and subsequences
Link	NOC:Design and Analysis of Algorithms	Lecture 48 - Edit distance
Link	NOC:Design and Analysis of Algorithms	Lecture 49 - Matrix multiplication
Link	NOC:Design and Analysis of Algorithms	Lecture 50 - Linear Programming
Link	NOC:Design and Analysis of Algorithms	Lecture 51 - LP modelling: Production Planning
Link	NOC:Design and Analysis of Algorithms	Lecture 52 - LP modelling: Bandwidth allocation
Link	NOC:Design and Analysis of Algorithms	Lecture 53 - Network Flows
Link	NOC:Design and Analysis of Algorithms	Lecture 54 - Reductions
Link	NOC:Design and Analysis of Algorithms	Lecture 55 - Checking Algorithms
Link	NOC:Design and Analysis of Algorithms	Lecture 56 - P and NP
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 1 - Introduction to Computers and Programming
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 2 - Writing your first program
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 3 - Variables, Operators and Expressions
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 4 - Variable declarations, more operators and precedence
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 5 - Input and Output Statements
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 6 - Conditionals
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 7 - Loops
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 8 - Introduction to arrays
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 9 - Working with 1D arrays
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 10 - Find prime numbers
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 11 - Debugging demo
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 12 - Multi-dimensional arrays
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 13 - Pointers
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 14 - More on pointers
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 15 - Arrays and pointer arithmetic
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 16 - Introduction to Strings
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 17 - More on Strings
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 18 - Introduction to functions
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 19 - More details on functions
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 20 - Arguments, variables and parameters
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 21 - Pass parameters by reference
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 22 - Recursive Functions
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 23 - C control structures, functional specification of programs
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 24 - Complexity Analysis using Sum and Product Rule
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 25 - Complexity Analysis of Recursive Functions
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 26 - Algorithms and Powering
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 27 - Polynomial evaluation and multiplication
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 28 - Linear and Binary Search Analysis
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 29 - Analysis of minimum and maximum in an array
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 30 - Sorting I: Insertion, Merge
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 31 - Sorting II: Counting, Radix
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 32 - Finding i-th smallest number
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 33 - Structures
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 34 - More on Structures
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 35 - Using structures and pointers to structures
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 36 - Dynamic memory allocation
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 37 - Linked List
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 38 - Brief introduction to C++: Classes and objects
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 39 - Abstract Data Types
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 40 - More on ADT
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 41 - Stacks: Last In First Out
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 42 - Queues: First In First
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 43 - Trees
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 44 - Tree Traversal
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 45 - Binary Search
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 46 - Heaps
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 47 - Graphs and Representations
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 48 - Greedy Algorithms
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 49 - Dynamic Programming
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 50 - Matrix Chain Multiplication
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 51 - Hash Tables
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 52 - Graph Algorithms: Dijkstras Algorithm and Prims Algorithm
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 53 - Graph Traversals: BFS,DFS and Articulation Points
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 54 - File I/O
Link	NOC:Programming, Data Structures and Algorithms (Aricent)	Lecture 55 - Modular Programming
Link	NOC:Computer Architecture	Lecture 1 - Introduction to Computer Architecture
Link	NOC:Computer Architecture	Lecture 2 - Quantitative Principles of Computer Design
Link	NOC:Computer Architecture	Lecture 3 - Instruction Set Principles-Part 1
Link	NOC:Computer Architecture	Lecture 4 - Instruction Set Principles-Part 2
Link	NOC:Computer Architecture	Lecture 5 - Instruction Set Principles-Part 3
Link	NOC:Computer Architecture	Lecture 6 - Cache Memory Hierarchy - Part 1
Link	NOC:Computer Architecture	Lecture 7 - Cache Memory Hierarchy - Part 2
Link	NOC:Computer Architecture	Lecture 8 - Cache Memory Hierarchy - Part 3
Link	NOC:Computer Architecture	Lecture 9 - Cache Memory Hierarchy - Part 4
Link	NOC:Computer Architecture	Lecture 10 - Main Memory Design - Part 1
Link	NOC:Computer Architecture	Lecture 11 - Main Memory Design - Part 2
Link	NOC:Computer Architecture	Lecture 12 - Main Memory Design - Part 3
Link	NOC:Computer Architecture	Lecture 13 - Fundamentals of Pipelining - Part 1
Link	NOC:Computer Architecture	Lecture 14 - Fundamentals of Pipelining - Part 2
Link	NOC:Computer Architecture	Lecture 15 - Fundamentals of Pipelining - Part 3
Link	NOC:Computer Architecture	Lecture 16 - Fundamentals of Pipelining - Part 4
Link	NOC:Computer Architecture	Lecture 17 - Fundamentals of Pipelining - Part 5
Link	NOC:Computer Architecture	Lecture 18 - Scalar to Superscalar pipeline
Link	NOC:Computer Architecture	Lecture 19 - Instruction Dependencies
Link	NOC:Computer Architecture	Lecture 20 - Compiler optimizations for Exposing ILP
Link	NOC:Computer Architecture	Lecture 21 - Advanced Branch Prediction Techniques - Part 1
Link	NOC:Computer Architecture	Lecture 22 - Advanced Branch Prediction Techniques - Part 2
Link	NOC:Computer Architecture	Lecture 23 - Superscalar Organization
Link	NOC:Computer Architecture	Lecture 24 - Register Renaming
Link	NOC:Computer Architecture	Lecture 25 - Tomasulo Algorithm
Link	NOC:Computer Architecture	Lecture 26 - Dynamic Execution Core
Link	NOC:Computer Architecture	Lecture 27 - Multi threading
Link	NOC:Computer Architecture	Lecture 28 - Multicore Processor Architecture
Link	NOC:Computer Architecture	Lecture 29 - Cache Coherence
Link	NOC:Computer Architecture	Lecture 30 - Cache Coherence Protocol Design
Link	NOC:Computer Architecture	Lecture 31 - Synchronization
Link	NOC:Computer Architecture	Lecture 32 - Memory Consistency - Part 1
Link	NOC:Computer Architecture	Lecture 33 - Memory Consistency - Part 2
Link	NOC:Model Checking	Lecture 1 - Course Overview
Link	NOC:Model Checking	Lecture 2 - Module 1 - Modeling code behaviour
Link	NOC:Model Checking	Lecture 3 - Module 2 - Modeling hardware circuits
Link	NOC:Model Checking	Lecture 4 - Module 3 - Modeling data-dependent programs
Link	NOC:Model Checking	Lecture 5 - Module 4 - Modeling concurrent systems
Link	NOC:Model Checking	Lecture 6 - Summary
Link	NOC:Model Checking	Lecture 7 - Module 1 - Model checking tools
Link	NOC:Model Checking	Lecture 8 - Module 2 - Simple models in NuSMV
Link	NOC:Model Checking	Lecture 9 - Module 3 - Hardware verification using NuSMV
Link	NOC:Model Checking	Lecture 10 - Module 4 - Modeling concurrent systems in NuSMV
Link	NOC:Model Checking	Lecture 11 - Summary.
Link	NOC:Model Checking	Lecture 12 - Module 1 - A problem in concurrency
Link	NOC:Model Checking	Lecture 13 - Module 2 - What is a property?
Link	NOC:Model Checking	Lecture 14 - Module 3 - Invariants
Link	NOC:Model Checking	Lecture 15 - Module 4 - Safety properties
Link	NOC:Model Checking	Lecture 16 - Module 5 - Liveness properties
Link	NOC:Model Checking	Lecture 17 - Summary..
Link	NOC:Model Checking	Lecture 18 - Module 1 - Road map
Link	NOC:Model Checking	Lecture 19 - Module 2 - A gentle introduction to automata
Link	NOC:Model Checking	Lecture 20 - Module 3 - Simple properties of finite automata
Link	NOC:Model Checking	Lecture 21 - Module 4 - Safety properties described by automata
Link	NOC:Model Checking	Lecture 22 - Summary...
Link	NOC:Model Checking	Lecture 23 - Module 1 - Specifying properties
Link	NOC:Model Checking	Lecture 24 - Module 2 - Omega-regular expressions
Link	NOC:Model Checking	Lecture 25 - Module 3 - Bchi automata
Link	NOC:Model Checking	Lecture 26 - Module 4 - Simple properties of Bchi automata
Link	NOC:Model Checking	Lecture 27 - Summary....
Link	NOC:Model Checking	Lecture 28 - Module 1 - Overview
Link	NOC:Model Checking	Lecture 29 - Module 2 - Omega-regular expressions to NBA
Link	NOC:Model Checking	Lecture 30 - Module 3 - Checking emptiness of NBA
Link	NOC:Model Checking	Lecture 31 - Module 4 - Generalized NBA
Link	NOC:Model Checking	Lecture 32 - Summary.....
Link	NOC:Model Checking	Lecture 33 - Module 1 - Introduction to LTL
Link	NOC:Model Checking	Lecture 34 - Module 2 - Semantics of LTL
Link	NOC:Model Checking	Lecture 35 - Module 3 - A puzzle
Link	NOC:Model Checking	Lecture 36 - Summary.
Link	NOC:Model Checking	Lecture 37 - Module 1 - Automata based LTL model-checking
Link	NOC:Model Checking	Lecture 38 - Module 2 - LTL to NBA
Link	NOC:Model Checking	Lecture 39 - Module 3 - Automaton construction
Link	NOC:Model Checking	Lecture 40 - Summary..
Link	NOC:Model Checking	Lecture 41 - Module 1 - Tree view of a transition system
Link	NOC:Model Checking	Lecture 42 - Module 2 - CTL*
Link	NOC:Model Checking	Lecture 43 - Module 3 - CTL
Link	NOC:Model Checking	Lecture 44 - summary...
Link	NOC:Model Checking	Lecture 45 - Module 1 - Adequate CTL formulae
Link	NOC:Model Checking	Lecture 46 - Module 2 - EX, EU, EG
Link	NOC:Model Checking	Lecture 47 - Module 3 - Final algorithm
Link	NOC:Model Checking	Lecture 48 - Module 4 - State-space explosion
Link	NOC:Model Checking	Lecture 49 - Summary....
Link	NOC:Model Checking	Lecture 50 - Module 1 - Introduction to BDDs
Link	NOC:Model Checking	Lecture 51 - Module 2 - Ordered BDDs
Link	NOC:Model Checking	Lecture 52 - Module 3 - Representing transition systems as OBDDs
Link	NOC:Model Checking	Lecture 53 - Summary.....
Link	NOC:Model Checking	Lecture 54 - Timed transition systems
Link	NOC:Model Checking	Lecture 55 - Concluding remarks
Link	NOC:Functional Programming in Haskell	Lecture 1 - Functions
Link	NOC:Functional Programming in Haskell	Lecture 2 - Types
Link	NOC:Functional Programming in Haskell	Lecture 3 - Haskell
Link	NOC:Functional Programming in Haskell	Lecture 4 - Running Haskell programs
Link	NOC:Functional Programming in Haskell	Lecture 5 - Currying
Link	NOC:Functional Programming in Haskell	Lecture 6 - Examples
Link	NOC:Functional Programming in Haskell	Lecture 7 - Lists
Link	NOC:Functional Programming in Haskell	Lecture 8 - Functions on lists
Link	NOC:Functional Programming in Haskell	Lecture 9 - Characters and strings
Link	NOC:Functional Programming in Haskell	Lecture 10 - Tuples
Link	NOC:Functional Programming in Haskell	Lecture 11 - Computation as rewriting
Link	NOC:Functional Programming in Haskell	Lecture 12 - Polymorphism and higher-order functions
Link	NOC:Functional Programming in Haskell	Lecture 13 - Map and filter
Link	NOC:Functional Programming in Haskell	Lecture 14 - List comprehension
Link	NOC:Functional Programming in Haskell	Lecture 15 - Folding through a list
Link	NOC:Functional Programming in Haskell	Lecture 16 - Measuring efficiency
Link	NOC:Functional Programming in Haskell	Lecture 17 - Sorting
Link	NOC:Functional Programming in Haskell	Lecture 18 - Using infinite lists
Link	NOC:Functional Programming in Haskell	Lecture 19 - Conditional polymorphism
Link	NOC:Functional Programming in Haskell	Lecture 20 - Defining functions in ghci
Link	NOC:Functional Programming in Haskell	Lecture 21 - User-defined datatypes
Link	NOC:Functional Programming in Haskell	Lecture 22 - Abstract datatypes
Link	NOC:Functional Programming in Haskell	Lecture 23 - Modules
Link	NOC:Functional Programming in Haskell	Lecture 24 - Recursive data types
Link	NOC:Functional Programming in Haskell	Lecture 25 - Binary search trees
Link	NOC:Functional Programming in Haskell	Lecture 26 - Balanced search trees
Link	NOC:Functional Programming in Haskell	Lecture 27 - Arrays
Link	NOC:Functional Programming in Haskell	Lecture 28 - Input/Output
Link	Virtual Reality	Lecture 1 - Course mechanics
Link	Virtual Reality	Lecture 2 - Goals and VR definitions
Link	Virtual Reality	Lecture 3 - Historical perspective
Link	Virtual Reality	Lecture 4 - Birds-eye view (general)
Link	Virtual Reality	Lecture 5 - Birds-eye view (general) (Continued...)
Link	Virtual Reality	Lecture 6 - Birds-eye view (hardware)
Link	Virtual Reality	Lecture 7 - Birds-eye view (software)
Link	Virtual Reality	Lecture 8 - Birds-eye view (sensation and perception)
Link	Virtual Reality	Lecture 9 - Geometric modeling
Link	Virtual Reality	Lecture 10 - Transforming models
Link	Virtual Reality	Lecture 11 - Matrix algebra and 2D rotations
Link	Virtual Reality	Lecture 12 - 3D rotations and yaw, pitch, and roll
Link	Virtual Reality	Lecture 13 - 3D rotations and yaw, pitch, and roll (Continued...)
Link	Virtual Reality	Lecture 14 - Axis-angle representations
Link	Virtual Reality	Lecture 15 - Quaternions
Link	Virtual Reality	Lecture 16 - Converting and multiplying rotations
Link	Virtual Reality	Lecture 17 - Converting and multiplying rotations (Continued...)
Link	Virtual Reality	Lecture 18 - Homogeneous transforms
Link	Virtual Reality	Lecture 19 - The chain of viewing transforms
Link	Virtual Reality	Lecture 20 - Eye transforms
Link	Virtual Reality	Lecture 21 - Eye transforms (Continued...)
Link	Virtual Reality	Lecture 22 - Canonical view transform
Link	Virtual Reality	Lecture 23 - Viewport transform
Link	Virtual Reality	Lecture 24 - Viewport transform (Continued...)
Link	Virtual Reality	Lecture 25 - Three interpretations of light
Link	Virtual Reality	Lecture 26 - Refraction
Link	Virtual Reality	Lecture 27 - Simple lenses
Link	Virtual Reality	Lecture 28 - Diopters
Link	Virtual Reality	Lecture 29 - Imaging properties of lenses
Link	Virtual Reality	Lecture 30 - Lens aberrations
Link	Virtual Reality	Lecture 31 - Optical system of eyes
Link	Virtual Reality	Lecture 32 - Photoreceptors
Link	Virtual Reality	Lecture 33 - Sufficient resolution for VR
Link	Virtual Reality	Lecture 34 - Light intensity
Link	Virtual Reality	Lecture 35 - Eye movements
Link	Virtual Reality	Lecture 36 - Eye movements (Continued...)
Link	Virtual Reality	Lecture 37 - Eye movement issues for VR
Link	Virtual Reality	Lecture 38 - Neuroscience of vision
Link	Virtual Reality	Lecture 39 - Depth perception
Link	Virtual Reality	Lecture 40 - Depth perception (Continued...)
Link	Virtual Reality	Lecture 41 - Motion perception
Link	Virtual Reality	Lecture 42 - Frame rates and displays
Link	Virtual Reality	Lecture 43 - Frame rates and displays (Continued...)
Link	Virtual Reality	Lecture 44 - Overview
Link	Virtual Reality	Lecture 45 - Orientation tracking
Link	Virtual Reality	Lecture 46 - Tilt drift correction
Link	Virtual Reality	Lecture 47 - Yaw drift correction
Link	Virtual Reality	Lecture 48 - Tracking with a camera
Link	Virtual Reality	Lecture 49 - Perspective n-point problem
Link	Virtual Reality	Lecture 50 - Filtering
Link	Virtual Reality	Lecture 51 - Lighthouse approach
Link	Virtual Reality	Lecture 52 - Visual Rendering-Overview
Link	Virtual Reality	Lecture 53 - Visual Rendering-overview (Continued...)
Link	Virtual Reality	Lecture 54 - Shading models
Link	Virtual Reality	Lecture 55 - Rasterization
Link	Virtual Reality	Lecture 56 - Pixel shading
Link	Virtual Reality	Lecture 57 - VR-specific problems
Link	Virtual Reality	Lecture 58 - Distortion shading
Link	Virtual Reality	Lecture 59 - Post-rendering image warp
Link	Virtual Reality	Lecture 60 - Physics and physiology
Link	Virtual Reality	Lecture 61 - Auditory perception
Link	Virtual Reality	Lecture 62 - Auditory localization
Link	Virtual Reality	Lecture 63 - Rendering
Link	Virtual Reality	Lecture 64 - Spatialization and display
Link	Virtual Reality	Lecture 65 - Combining other senses
Link	Virtual Reality	Lecture 66 - Interfaces -overview
Link	Virtual Reality	Lecture 67 - Locomotion
Link	Virtual Reality	Lecture 68 - Manipulation
Link	Virtual Reality	Lecture 69 - System control
Link	Virtual Reality	Lecture 70 - Social interaction
Link	Virtual Reality	Lecture 71 - Evaluation of VR Systems
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 1 - A brief introduction to machine learning
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 2 - Supervised Learning
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 3 - Unsupervised Learning
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 4 - Reinforcement Learning
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 5 - Probability Basics - 1
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 6 - Probability Basics - 2
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 7 - Linear Algebra - 1
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 8 - Linear Algebra - 2
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 9 - Statistical Decision Theory - Regression
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 10 - Statistical Decision Theory - Classification
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 11 - Bias-Variance
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 12 - Linear Regression
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 13 - Multivariate Regression
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 14 - Subset Selection 1
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 15 - Subset Selection 2
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 16 - Shrinkage Methods
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 17 - Principal Components Regression
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 18 - Partial Least Squares
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 19 - Linear Classification
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 20 - Logistic Regression
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 21 - Linear Discriminant Analysis 1
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 22 - Linear Discriminant Analysis 2
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 23 - Linear Discriminant Analysis 3
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 24 - Optimization
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 25 - Perceptron Learning
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 26 - SVM - Formulation
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 27 - SVM - Interpretation & Analysis
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 28 - SVMs for Linearly Non Separable Data
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 29 - SVM Kernels
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 30 - SVM - Hinge Loss Formulation
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 31 - Weka Tutorial
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 32 - Early Models
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 33 - Backpropogation - I
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 34 - Backpropogation - II
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 35 - Initialization, Training and Validation
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 36 - Maximum Likelihood Estimate
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 37 - Priors and MAP Estimate
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 38 - Bayesian Parameter Estimation
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 39 - Introduction
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 40 - Regression Trees
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 41 - Stopping Criteria and Pruning
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 42 - Loss Functions for Classification
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 43 - Categorical Attributes
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 44 - Multiway Splits
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 45 - Missing Values, Imputation and Surrogate Splits
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 46 - Instability, Smoothness and Repeated Subtrees
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 47 - Tutorial
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 48 - Evaluation Measures I
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 49 - Bootstrapping and Cross Validation
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 50 - 2 Class Evaluation Measures
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 51 - The ROC Curve
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 52 - Minimum Description Length and Exploratory Analysis
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 53 - Introduction to Hypothesis Testing
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 54 - Basic Concepts
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 55 - Sampling Distributions and the Z Test
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 56 - Student's t-test
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 57 - The Two Sample and Paired Sample t-tests
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 58 - Confidence Intervals
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 59 - Bagging, Committee Machines and Stacking
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 60 - Boosting
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 61 - Gradient Boosting
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 62 - Random Forest
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 63 - Naive Bayes
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 64 - Bayesian Networks
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 65 - Undirected Graphical Models - Introduction
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 66 - Undirected Graphical Models - Potential Functions
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 67 - Hidden Markov Models
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 68 - Variable Elimination
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 69 - Belief Propagation
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 70 - Partitional Clustering
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 71 - Hierarchical Clustering
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 72 - Threshold Graphs
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 73 - The BIRCH Algorithm
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 74 - The CURE Algorithm
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 75 - Density Based Clustering
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 76 - Gaussian Mixture Models
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 77 - Expectation Maximization
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 78 - Expectation Maximization (Continued...)
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 79 - Spectral Clustering
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 80 - Learning Theory
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 81 - Frequent Itemset Mining
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 82 - The Apriori Property
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 83 - Introduction to Reinforcement Learning
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 84 - RL Framework and TD Learning
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 85 - Solution Methods and Applications
Link	NOC:Introduction to Machine Learning (Sponsored by Arihant)	Lecture 86 - Multi-class Classification
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 1 - Introduction
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 2 - Abductive Inferences and Expectations
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 3 - On Machine Learning
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 4 - A New Test of Intelligence?
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 5 - The World According to Us
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 6 - From Particles to Concepts
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 7 - The Domains for Reasoning
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 8 - Hierarchies in Representation
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 9 - Logic and Representation: A Quick Tour
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 10 - Symbols and Thought
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 11 - From Gears to Symbols
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 12 - Truth, Logic, and Provability
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 13 - A Syntactic Machine
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 14 - Entailment and Proof
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 15 - The Languages of Logic
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 16 - Patterns in Arguments
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 17 - Rules of Inference
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 18 - Propositional Logic
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 19 - Propositional Logic: Syntax
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 20 - Propositional Logic: Semantics
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 21 - Proofs: Natural Deduction
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 22 - The Deduction Theorem
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 23 - Models
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 24 - The Tableau Method
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 25 - First Order Logic
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 26 - First Order Logic: Syntax
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 27 - FOL: Universal Instantiation
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 28 - First Order Logic: Semantics
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 29 - FOL: Truth Assignments
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 30 - Modified Modus Ponens
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 31 - The Unification Algorithm
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 32 - Skolemization
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 33 - Expert Systems
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 34 - Backward Chaining Systems
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 35 - Deductive Retrieval
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 36 - The Resolution Refutation Method
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 37 - Clause Form in FOL
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 38 - Resolution Refutation in FOL
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 39 - First Order Logic with Equality
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 40 - Who was the surgeon?
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 41 - Consistency vs. Completeness
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 42 - Logic Programming
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 43 - Arithmetic
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 44 - Horn Clauses and Prolog
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 45 - SLD Derivation = Backward Chaining
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 46 - Programming in Logic
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 47 - Prolog: Programming in Logic
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 48 - Prolog: Procedural Interpretation
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 49 - Prolog: Query Evaluation
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 50 - Prolog: Unifying Terms
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 51 - Prolog: Goal Order
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 52 - Prolog: Tabling
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 53 - Prolog: Negation by Failure
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 54 - Prolog: The Cut Operator
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 55 - Rule Based Expert Systems
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 56 - The OPS5 Language
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 57 - Match, Resolve, Execute
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 58 - Conflict Resolution Strategies
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 59 - The Rete Algorithm
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 60 - The Rete Net
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 61 - The Rete Net : Examples
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 62 - Knowledge Representation
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 63 - Synonyms, Antonyms, Hyponyms, Meronyms
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 64 - Binary Relations
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 65 - Describing Family Relations
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 66 - Recursive Descriptions
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 67 - Abstract Entities
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 68 - Reification: Units of Measurement
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 69 - Semantic Nets and Knowledge Graphs
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 70 - DL: Description Logics
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 71 - Defining New Concepts and Roles
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 72 - The Sentences in DL
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 73 - A Family of Logics
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 74 - DL: Some Examples
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 75 - ALC Tableau
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 76 - Model Checking in ALC
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 77 - ALC Tableau: Examples
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 78 - Language Independent Represntation
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 79 - Conceptual Dependency Theory
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 80 - CD States
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 81 - Inferences in MARGIE
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 82 - CD: Actions
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 83 - English to CD
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 84 - Representing Complex Verbs
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 85 - Semantic Parsing of Language
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 86 - Knowledge Structures
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 87 - Scripts
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 88 - SAM: Script Apploer Mechanism
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 89 - A VIP Visit
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 90 - Invoking Scripts
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 91 - Goals, Plans, and Actions
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 92 - Goal Interactions
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 93 - Explanation Driven Understanding
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 94 - Tussle Over a Bicycle
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 95 - Plan Applier Mechanism (PAM)
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 96 - Requests and Rule Instances
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 97 - Managing Rule Instances
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 98 - Knowledge Structures: Frames
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 99 - Inheritance
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 100 - A Frame System for Travel Planning
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 101 - Inheritance in Taxonomies
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 102 - Default Reasoning
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 103 - Closed World Assumption
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 104 - Circumscription
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 105 - Default Logic
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 106 - Autoepistemic Reasoning
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 107 - The Event Calculus
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 108 - The Effects of Events
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 109 - Epistemic Logic
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 110 - Kripke Structures: Possible Worlds Semantics
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 111 - The Muddy Children Puzzle
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 112 - The Effects of Epistemic Actions
Link	NOC:Artificial Intelligence: Knowledge Representation and Reasoning	Lecture 113 - Reasoning with Beliefs
Link	NOC:Information Security - II	Lecture 1 - Experimental Setup: Video Tutorial
Link	NOC:Information Security - II	Lecture 2 - Need for Secure Systems
Link	NOC:Information Security - II	Lecture 3 - Ignorance of A is Sin of B
Link	NOC:Information Security - II	Lecture 4 - Function calls and Stacks
Link	NOC:Information Security - II	Lecture 5 - Stack Smashing
Link	NOC:Information Security - II	Lecture 6 - Virtual Machine Based Rootkits
Link	NOC:Information Security - II	Lecture 7 - Security and Architecture: Introduction
Link	NOC:Information Security - II	Lecture 8 - Structured Computer Organization Completed
Link	NOC:Information Security - II	Lecture 9 - X86 ISA - Part1
Link	NOC:Information Security - II	Lecture 10 - X86 ISA - Part 2
Link	NOC:Information Security - II	Lecture 11 - X86 Protected Mode
Link	NOC:Information Security - II	Lecture 12 - X86 Memory Segmentation
Link	NOC:Information Security - II	Lecture 13 - Process Isolation using Segmentation
Link	NOC:Information Security - II	Lecture 14 - Paging and Virtual Memory
Link	NOC:Information Security - II	Lecture 15 - Task Switching and Interrupt Service
Link	NOC:Information Security - II	Lecture 16 - Memory Segmentation Deep dive - Part 1
Link	NOC:Information Security - II	Lecture 17 - Memory Segmentation Deep dive - Part 2
Link	NOC:Information Security - II	Lecture 18 - Memory Segmentation Deep dive - Part 3
Link	NOC:Information Security - II	Lecture 19 - Memory Segmentation Deep dive - Part 4
Link	NOC:Information Security - II	Lecture 20 - Segmentation Recap
Link	NOC:Information Security - II	Lecture 21 - Lab 1 - Part 1
Link	NOC:Information Security - II	Lecture 22 - Lab 1 - Part 2
Link	NOC:Information Security - II	Lecture 23 - Lab 1 - Part 3
Link	NOC:Information Security - II	Lecture 24 - ISR Recap
Link	NOC:Information Security - II	Lecture 25 - Lab 2 - Part 1
Link	NOC:Information Security - II	Lecture 26 - Lab 2 - Part 2
Link	NOC:Information Security - II	Lecture 27 - Memory Management Recap
Link	NOC:Information Security - II	Lecture 28 - Lab 3 - Part 1
Link	NOC:Information Security - II	Lecture 29 - Lab 3 - Part 2
Link	NOC:Information Security - II	Lecture 30 - Task Switch recap
Link	NOC:Information Security - II	Lecture 31 - Lab 4 - Part 1
Link	NOC:Information Security - II	Lecture 32 - Lab 4 - Part 2
Link	NOC:Information Security - II	Lecture 33 - Lab 4 - Part 3
Link	NOC:Information Security - II	Lecture 34 - Lab 4 - Part 4
Link	NOC:Information Security - II	Lecture 35 - Introduction to Basic Cryptography
Link	NOC:Information Security - II	Lecture 36 - Public Key Cryptography
Link	NOC:Information Security - II	Lecture 37 - Freescale ARM iMX6 Processor
Link	NOC:Information Security - II	Lecture 38 - High Assurance Boot in iMX6
Link	NOC:Information Security - II	Lecture 39 - Case Study
Link	NOC:Information Security - II	Lecture 40 - Basics of Networking
Link	NOC:Information Security - II	Lecture 41 - Network Processor Vs General Purpose Processor
Link	NOC:Information Security - II	Lecture 42 - Network Processor Architecture
Link	NOC:Algorithms for Big Data	Lecture 1 - Basic definitions
Link	NOC:Algorithms for Big Data	Lecture 2 - Conditional probability
Link	NOC:Algorithms for Big Data	Lecture 3 - Example problems
Link	NOC:Algorithms for Big Data	Lecture 4 - Karger's mincut algorithm
Link	NOC:Algorithms for Big Data	Lecture 5 - Analysis of Karger's mincut algorithm
Link	NOC:Algorithms for Big Data	Lecture 6 - Random variables
Link	NOC:Algorithms for Big Data	Lecture 7 - Randomized quicksort
Link	NOC:Algorithms for Big Data	Lecture 8 - Problem solving video - The rich get richer
Link	NOC:Algorithms for Big Data	Lecture 9 - Problem solving video - Monty Hall problem
Link	NOC:Algorithms for Big Data	Lecture 10 - Bernoulli, Binomial and Geometric distributions
Link	NOC:Algorithms for Big Data	Lecture 11 - Tail Bounds
Link	NOC:Algorithms for Big Data	Lecture 12 - Application of Chernoff bound
Link	NOC:Algorithms for Big Data	Lecture 13 - Application of Chebyshev's inequality
Link	NOC:Algorithms for Big Data	Lecture 14 - Intro to Big Data Algorithms
Link	NOC:Algorithms for Big Data	Lecture 15 - SAT Problem
Link	NOC:Algorithms for Big Data	Lecture 16 - Classification of States
Link	NOC:Algorithms for Big Data	Lecture 17 - Stationary Distribution of a Markov Chain
Link	NOC:Algorithms for Big Data	Lecture 18 - Celebrities Case Study
Link	NOC:Algorithms for Big Data	Lecture 19 - Random Walks on Undirected Graphs
Link	NOC:Algorithms for Big Data	Lecture 20 - Intro to Streaming, Morris Algorithm
Link	NOC:Algorithms for Big Data	Lecture 21 - Reservoir Sampling
Link	NOC:Algorithms for Big Data	Lecture 22 - Approximate Median
Link	NOC:Algorithms for Big Data	Lecture 23 - Overview
Link	NOC:Algorithms for Big Data	Lecture 24 - Balls, bins, hashing
Link	NOC:Algorithms for Big Data	Lecture 25 - Chain hashing, SUHA, Power of Two choices
Link	NOC:Algorithms for Big Data	Lecture 26 - Bloom filter
Link	NOC:Algorithms for Big Data	Lecture 27 - Pairwise independence
Link	NOC:Algorithms for Big Data	Lecture 28 - Estimating expectation of continuous function
Link	NOC:Algorithms for Big Data	Lecture 29 - Universal hash functions
Link	NOC:Algorithms for Big Data	Lecture 30 - Perfect hashing
Link	NOC:Algorithms for Big Data	Lecture 31 - Count-min filter for heavy hitters in data streams
Link	NOC:Algorithms for Big Data	Lecture 32 - Problem solving video - Doubly Stochastic Transition Matrix
Link	NOC:Algorithms for Big Data	Lecture 33 - Problem solving video - Random Walks on Linear Structures
Link	NOC:Algorithms for Big Data	Lecture 34 - Problem solving video - Lollipop Graph
Link	NOC:Algorithms for Big Data	Lecture 35 - Problem solving video - Cat And Mouse
Link	NOC:Algorithms for Big Data	Lecture 36 - Estimating frequency moments
Link	NOC:Algorithms for Big Data	Lecture 37 - Property testing framework
Link	NOC:Algorithms for Big Data	Lecture 38 - Testing Connectivity
Link	NOC:Algorithms for Big Data	Lecture 39 - Enforce and Test Introduction
Link	NOC:Algorithms for Big Data	Lecture 40 - Testing if a graph is a biclique
Link	NOC:Algorithms for Big Data	Lecture 41 - Testing bipartiteness
Link	NOC:Algorithms for Big Data	Lecture 42 - Property testing and random walk algorithms
Link	NOC:Algorithms for Big Data	Lecture 43 - Testing if a graph is bipartite (using random walks)
Link	NOC:Algorithms for Big Data	Lecture 44 - Graph streaming algorithms: Introduction
Link	NOC:Algorithms for Big Data	Lecture 45 - Graph streaming algorithms: Matching
Link	NOC:Algorithms for Big Data	Lecture 46 - Graph streaming algorithms: Graph sparsification
Link	NOC:Algorithms for Big Data	Lecture 47 - MapReduce
Link	NOC:Algorithms for Big Data	Lecture 48 - K-Machine Model (aka Pregel Model)
Link	NOC:Reinforcement Learning	Lecture 1 - Tutorial 1 - Probability Basics 1
Link	NOC:Reinforcement Learning	Lecture 2 - Tutorial 1 - Probability Basics 2
Link	NOC:Reinforcement Learning	Lecture 3 - Tutorial 2 - Linear algebra - 1
Link	NOC:Reinforcement Learning	Lecture 4 - Tutorial 2 - Linear algebra - 2
Link	NOC:Reinforcement Learning	Lecture 5 - Introduction to RL
Link	NOC:Reinforcement Learning	Lecture 6 - RL Framework and applications
Link	NOC:Reinforcement Learning	Lecture 7 - Introduction to Immediate RL
Link	NOC:Reinforcement Learning	Lecture 8 - Bandit Optimalities
Link	NOC:Reinforcement Learning	Lecture 9 - Value function based methods
Link	NOC:Reinforcement Learning	Lecture 10 - UCB 1
Link	NOC:Reinforcement Learning	Lecture 11 - Concentration Bounds
Link	NOC:Reinforcement Learning	Lecture 12 - UCB 1 Theorem
Link	NOC:Reinforcement Learning	Lecture 13 - PAC Bounds
Link	NOC:Reinforcement Learning	Lecture 14 - Median Elimination
Link	NOC:Reinforcement Learning	Lecture 15 - Thompson Sampling
Link	NOC:Reinforcement Learning	Lecture 16 - Policy Search
Link	NOC:Reinforcement Learning	Lecture 17 - REINFORCE
Link	NOC:Reinforcement Learning	Lecture 18 - Contextual Bandits
Link	NOC:Reinforcement Learning	Lecture 19 - Full RL Introduction
Link	NOC:Reinforcement Learning	Lecture 20 - Returns, Value Functions and MDPs
Link	NOC:Reinforcement Learning	Lecture 21 - MDP Modelling
Link	NOC:Reinforcement Learning	Lecture 22 - Bellman Equation
Link	NOC:Reinforcement Learning	Lecture 23 - Bellman Optimality Equation
Link	NOC:Reinforcement Learning	Lecture 24 - Cauchy Sequence and Green's Equation
Link	NOC:Reinforcement Learning	Lecture 25 - Banach Fixed Point Theorem
Link	NOC:Reinforcement Learning	Lecture 26 - Convergence Proof
Link	NOC:Reinforcement Learning	Lecture 27 - Lpi Convergence
Link	NOC:Reinforcement Learning	Lecture 28 - Value Iteration
Link	NOC:Reinforcement Learning	Lecture 29 - Policy Iteration
Link	NOC:Reinforcement Learning	Lecture 30 - Dynamic Programming
Link	NOC:Reinforcement Learning	Lecture 31 - Monte Carlo
Link	NOC:Reinforcement Learning	Lecture 32 - Control in Monte Carlo
Link	NOC:Reinforcement Learning	Lecture 33 - Off Policy MC
Link	NOC:Reinforcement Learning	Lecture 34 - UCT
Link	NOC:Reinforcement Learning	Lecture 35 - TD(0)
Link	NOC:Reinforcement Learning	Lecture 36 - TD(0) Control
Link	NOC:Reinforcement Learning	Lecture 37 - Q-Learning
Link	NOC:Reinforcement Learning	Lecture 38 - Afterstate
Link	NOC:Reinforcement Learning	Lecture 39 - Eligibility Traces
Link	NOC:Reinforcement Learning	Lecture 40 - Backward View of Eligibility Traces
Link	NOC:Reinforcement Learning	Lecture 41 - Eligibility Trace Control
Link	NOC:Reinforcement Learning	Lecture 42 - Thompson Sampling Recap
Link	NOC:Reinforcement Learning	Lecture 43 - Function Approximation
Link	NOC:Reinforcement Learning	Lecture 44 - Linear Parameterization
Link	NOC:Reinforcement Learning	Lecture 45 - State Aggregation Methods
Link	NOC:Reinforcement Learning	Lecture 46 - Function Approximation and Eligibility Traces
Link	NOC:Reinforcement Learning	Lecture 47 - LSTD and LSTDQ
Link	NOC:Reinforcement Learning	Lecture 48 - LSPI and Fitted Q
Link	NOC:Reinforcement Learning	Lecture 49 - DQN and Fitted Q-Iteration
Link	NOC:Reinforcement Learning	Lecture 50 - Policy Gradient Approach
Link	NOC:Reinforcement Learning	Lecture 51 - Actor Critic and REINFORCE
Link	NOC:Reinforcement Learning	Lecture 52 - REINFORCE (cont'd)
Link	NOC:Reinforcement Learning	Lecture 53 - Policy Gradient with Function Approximation
Link	NOC:Reinforcement Learning	Lecture 54 - Hierarchical Reinforcement Learning
Link	NOC:Reinforcement Learning	Lecture 55 - Types of Optimality
Link	NOC:Reinforcement Learning	Lecture 56 - Semi Markov Decision Processes
Link	NOC:Reinforcement Learning	Lecture 57 - Options
Link	NOC:Reinforcement Learning	Lecture 58 - Learning with Options
Link	NOC:Reinforcement Learning	Lecture 59 - Hierarchical Abstract Machines
Link	NOC:Reinforcement Learning	Lecture 60 - MAXQ
Link	NOC:Reinforcement Learning	Lecture 61 - MAXQ Value Function Decomposition
Link	NOC:Reinforcement Learning	Lecture 62 - Option Discovery
Link	NOC:Reinforcement Learning	Lecture 63 - POMDP Introduction
Link	NOC:Reinforcement Learning	Lecture 64 - Solving POMDP
Link	NOC:Introduction to Operating Systems	Lecture 1 - Intro to the Course
Link	NOC:Introduction to Operating Systems	Lecture 2 - Introduction to OS
Link	NOC:Introduction to Operating Systems	Lecture 3 - PC Hardware
Link	NOC:Introduction to Operating Systems	Lecture 4 - From Programs to Processes
Link	NOC:Introduction to Operating Systems	Lecture 5 - Sharing the CPU
Link	NOC:Introduction to Operating Systems	Lecture 6 - Introduction
Link	NOC:Introduction to Operating Systems	Lecture 7 - Virtual Memory
Link	NOC:Introduction to Operating Systems	Lecture 8 - MMU Mapping
Link	NOC:Introduction to Operating Systems	Lecture 9 - Segmentation
Link	NOC:Introduction to Operating Systems	Lecture 10 - Memory Management in xv6
Link	NOC:Introduction to Operating Systems	Lecture 11 - PC Booting
Link	NOC:Introduction to Operating Systems	Lecture 12 - Week 3 Introduction
Link	NOC:Introduction to Operating Systems	Lecture 13 - Create Execute and Exit from Processes
Link	NOC:Introduction to Operating Systems	Lecture 14 - System Calls for Process Management
Link	NOC:Introduction to Operating Systems	Lecture 15 - Interrupts
Link	NOC:Introduction to Operating Systems	Lecture 16 - Interrupt Handling
Link	NOC:Introduction to Operating Systems	Lecture 17 - Software Interrupts and System calls
Link	NOC:Introduction to Operating Systems	Lecture 18 - CPU Context switching
Link	NOC:Introduction to Operating Systems	Lecture 19 - CPU Scheduling
Link	NOC:Introduction to Operating Systems	Lecture 20 - Priority Based Scheduling Algorithms
Link	NOC:Introduction to Operating Systems	Lecture 21 - Multi-Processor Scheduling
Link	NOC:Introduction to Operating Systems	Lecture 22 - Scheduling in Linux
Link	NOC:Introduction to Operating Systems	Lecture 23 - Completely Fair Scheduling
Link	NOC:Introduction to Operating Systems	Lecture 24 - Inter Process Communication
Link	NOC:Introduction to Operating Systems	Lecture 25 - Synchronization
Link	NOC:Introduction to Operating Systems	Lecture 26 - Software solutions for critical sections
Link	NOC:Introduction to Operating Systems	Lecture 27 - Bakery Algorithm
Link	NOC:Introduction to Operating Systems	Lecture 28 - Hardware Locks
Link	NOC:Introduction to Operating Systems	Lecture 29 - Mutexes
Link	NOC:Introduction to Operating Systems	Lecture 30 - Semaphores
Link	NOC:Introduction to Operating Systems	Lecture 31 - Dining Philosophers Problem
Link	NOC:Introduction to Operating Systems	Lecture 32 - Deadlocks
Link	NOC:Introduction to Operating Systems	Lecture 33 - Dealing with Deadlocks
Link	NOC:Introduction to Operating Systems	Lecture 34 - Threads - Part 1
Link	NOC:Introduction to Operating Systems	Lecture 35 - Threads - Part 2
Link	NOC:Introduction to Operating Systems	Lecture 36 - Operating system security
Link	NOC:Introduction to Operating Systems	Lecture 37 - Information Flow policies
Link	NOC:Introduction to Operating Systems	Lecture 38 - Buffer Overflows
Link	NOC:Introduction to Operating Systems	Lecture 39 - Preventing Buffer Overflow Attacks
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 1 - Lecture 1 - Algorithms and programming: simple gcd
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 2 - Lecture 2 - Improving naive gcd
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 3 - Lecture 3 - Euclid's algorithm for gcd
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 4 - Lecture 4 - Downloading and installing Python
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 5 - Lecture 1 - Assignment statement, basic types - int, float, bool
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 6 - Lecture 2 - Strings
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 7 - Lecture 3 - Lists
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 8 - Lecture 4 - Control Flow
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 9 - Lecture 5 - Functions
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 10 - Lecture 6 - Examples
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 11 - Lecture 1 - More about range()
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 12 - Lecture 2 - Manipulating lists
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 13 - Lecture 3 - Breaking out of a loop
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 14 - Lecture 4 - Arrays vs lists, binary search
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 15 - Lecture 5 - Efficiency
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 16 - Lecture 6 - Selection Sort
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 17 - Lecture 7 - Insertion Sort
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 18 - Lecture 8 - Recursion
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 19 - Lecture 1 - Mergesort
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 20 - Lecture 2 - Mergesort, analysis
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 21 - Lecture 3 - Quicksort
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 22 - Lecture 4 - Quicksort analysis
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 23 - Lecture 5 - Tuples and dictionaries
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 24 - Lecture 6 - Function definitions
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 25 - Lecture 7 - List Comprehension
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 26 - Lecture 1 - Exception Handling
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 27 - Lecture 2 - Standard input and output
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 28 - Lecture 3 - Handling files
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 29 - Lecture 4 - String functions
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 30 - Lecture 5 - Formatting printed output
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 31 - Lecture 6 - pass, del() and None
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 32 - Lecture 1 - Backtracking, N queens
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 33 - Lecture 2 - Global scope, nested functions
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 34 - Lecture 3 - Generating permutations
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 35 - Lecture 4 - Sets, stacks, queues
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 36 - Lecture 5 - Priority queues and heaps
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 37 - Lecture 1 - Abstract datatypes, classes and objects
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 38 - Lecture 2 - Classes and objects in Python
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 39 - Lecture 3 - User defined lists
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 40 - Lecture 4 - Search trees
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 41 - Lecture 1 - Memoization and dynamic programming
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 42 - Lecture 2 - Grid paths
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 43 - Lecture 3 - Longest common subsequence
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 44 - Lecture 4 - Matrix multiplication
Link	NOC:Programming, Data Structures and Algorithms in Python	Lecture 45 - Lecture 5 - Wrap-up, Python vs other languages
Link	NOC:Privacy and Security in Online Social Networks	Lecture 1 - Intro to Course
Link	NOC:Privacy and Security in Online Social Networks	Lecture 2 - Intro to Course
Link	NOC:Privacy and Security in Online Social Networks	Lecture 3 - Incidents
Link	NOC:Privacy and Security in Online Social Networks	Lecture 4 - Tutorial 1 - Part 1 Ubuntu
Link	NOC:Privacy and Security in Online Social Networks	Lecture 5 - Tutorial 1 - Part 2 Python
Link	NOC:Privacy and Security in Online Social Networks	Lecture 6 - OSM APIs and tools for data collection
Link	NOC:Privacy and Security in Online Social Networks	Lecture 7 - Tutorial 2 - Part 1 Facebook API
Link	NOC:Privacy and Security in Online Social Networks	Lecture 8 - Tutorial 2 - Part 2 Facebook API
Link	NOC:Privacy and Security in Online Social Networks	Lecture 9 - Trust and Credibility on OSM
Link	NOC:Privacy and Security in Online Social Networks	Lecture 10 - Misinformation on Social Media
Link	NOC:Privacy and Security in Online Social Networks	Lecture 11 - Privacy and Social Media
Link	NOC:Privacy and Security in Online Social Networks	Lecture 12 - Tutorial 3 - Part 1 Twitter API
Link	NOC:Privacy and Security in Online Social Networks	Lecture 13 - Tutorial 3 - Part 2 MySQL
Link	NOC:Privacy and Security in Online Social Networks	Lecture 14 - Tutorial 3 - Part 3 MongoDB
Link	NOC:Privacy and Security in Online Social Networks	Lecture 15 - Privacy and Pictures on Online Social Media
Link	NOC:Privacy and Security in Online Social Networks	Lecture 16 - Policing and Online Social Media
Link	NOC:Privacy and Security in Online Social Networks	Lecture 17 - Policing and Online Social Media
Link	NOC:Privacy and Security in Online Social Networks	Lecture 18 - Policing and Online Social Media
Link	NOC:Privacy and Security in Online Social Networks	Lecture 19 - eCrime on Online Social Media
Link	NOC:Privacy and Security in Online Social Networks	Lecture 20 - eCrime on Online Social Media
Link	NOC:Privacy and Security in Online Social Networks	Lecture 21 - Tutorial 4 - Social Network Analysis
Link	NOC:Privacy and Security in Online Social Networks	Lecture 22 - Link Farming in Online Social Media
Link	NOC:Privacy and Security in Online Social Networks	Lecture 23 - Nudges
Link	NOC:Privacy and Security in Online Social Networks	Lecture 24 - Semantic attacks: Spear phishing
Link	NOC:Privacy and Security in Online Social Networks	Lecture 25 - Tutorial 5 - Analyzing text using Python NLTK
Link	NOC:Privacy and Security in Online Social Networks	Lecture 26 - Profile Linking on Online Social Media
Link	NOC:Privacy and Security in Online Social Networks	Lecture 27 - Anonymous Networks
Link	NOC:Privacy and Security in Online Social Networks	Lecture 28 - Tutorial 6 - Gephi Network Visualization
Link	NOC:Privacy and Security in Online Social Networks	Lecture 29 - Privacy in Location Based Social Networks - Part 1
Link	NOC:Privacy and Security in Online Social Networks	Lecture 30 - Privacy in Location Based Social Networks - Part 2
Link	NOC:Privacy and Security in Online Social Networks	Lecture 31 - Tutorial 7 - Visualization - Highcharts
Link	NOC:Privacy and Security in Online Social Networks	Lecture 32 - Beware of What You Share Inferring Home Location in Social Networks
Link	NOC:Privacy and Security in Online Social Networks	Lecture 33 - On the dynamics of username change behavior on Twitter
Link	NOC:Privacy and Security in Online Social Networks	Lecture 34 - Boston Marathon Analyzing Fake Content on Twitter
Link	NOC:Mobile Computing	Lecture 1 - Java Basics
Link	NOC:Mobile Computing	Lecture 2 - Java : Primitive Data Types, Strings, Loops, Conditional Statements
Link	NOC:Mobile Computing	Lecture 3 - Java : Strings, OOP principles
Link	NOC:Mobile Computing	Lecture 4 - Java : Interfaces
Link	NOC:Mobile Computing	Lecture 5 - Java : Classes, Exceptions, Threads
Link	NOC:Mobile Computing	Lecture 6 - Introduction to Android Studio
Link	NOC:Mobile Computing	Lecture 7 - Your First App
Link	NOC:Mobile Computing	Lecture 8 - Deploying your App to a Phone
Link	NOC:Mobile Computing	Lecture 9 - Extending app - Buttons, Toast
Link	NOC:Mobile Computing	Lecture 10 - Android Development Environment
Link	NOC:Mobile Computing	Lecture 11 - User Interface
Link	NOC:Mobile Computing	Lecture 12 - Application Fundamentals
Link	NOC:Mobile Computing	Lecture 13 - Extending the application
Link	NOC:Mobile Computing	Lecture 14 - Activity Lifecycle - I
Link	NOC:Mobile Computing	Lecture 15 - Activity Lifecycle - II
Link	NOC:Mobile Computing	Lecture 16 - Activity LifeCycle - III
Link	NOC:Mobile Computing	Lecture 17 - Adding Icon, Layouts, Handling Rotation - I
Link	NOC:Mobile Computing	Lecture 18 - Adding Icon, Layouts, Handling Rotation - II
Link	NOC:Mobile Computing	Lecture 19 - Debugging
Link	NOC:Mobile Computing	Lecture 20 - Intents - I
Link	NOC:Mobile Computing	Lecture 21 - Intents - II
Link	NOC:Mobile Computing	Lecture 22 - Observer Pattern
Link	NOC:Mobile Computing	Lecture 23 - Fragments - I
Link	NOC:Mobile Computing	Lecture 24 - Fragments - II
Link	NOC:Mobile Computing	Lecture 25 - Fragment Basic Programming Example
Link	NOC:Mobile Computing	Lecture 26 - Fragments - Advanced Example
Link	NOC:Mobile Computing	Lecture 27 - Implicit Intents
Link	NOC:Mobile Computing	Lecture 28 - Saving Data - I
Link	NOC:Mobile Computing	Lecture 29 - Saving Data - II
Link	NOC:Mobile Computing	Lecture 30 - Security and System Permissions
Link	NOC:Mobile Computing	Lecture 31 - Services
Link	NOC:Mobile Computing	Lecture 32 - Processes and threads
Link	NOC:Mobile Computing	Lecture 33 - Working with Fragments - I
Link	NOC:Mobile Computing	Lecture 34 - Working with Fragments - II
Link	NOC:Mobile Computing	Lecture 35 - Working with Fragments - III
Link	NOC:Mobile Computing	Lecture 36 - RecyclerView, Adapter
Link	NOC:Mobile Computing	Lecture 37 - RecyclerView, Adapter, ViewHolder
Link	NOC:Mobile Computing	Lecture 38 - ViewPager
Link	NOC:Mobile Computing	Lecture 39 - Dialogues
Link	NOC:Introduction to Modern Application Development	Lecture 1 - Introduction to the course
Link	NOC:Introduction to Modern Application Development	Lecture 2 - Introduction to a web-app
Link	NOC:Introduction to Modern Application Development	Lecture 3 - Building a web-app
Link	NOC:Introduction to Modern Application Development	Lecture 4 - Networks
Link	NOC:Introduction to Modern Application Development	Lecture 5 - Practical - Running your own web-server
Link	NOC:Introduction to Modern Application Development	Lecture 6 - Protocols
Link	NOC:Introduction to Modern Application Development	Lecture 7 - Practical - SSH + Network experiments
Link	NOC:Introduction to Modern Application Development	Lecture 8 - Practical - Building a webapp with nodejs and using git. Introduction to reverse proxies.
Link	NOC:Introduction to Modern Application Development	Lecture 9 - Practical - Introduciton to server-side javascript and HTML/CSS
Link	NOC:Introduction to Modern Application Development	Lecture 10 - Introduction to client-side Javascript
Link	NOC:Introduction to Modern Application Development	Lecture 11 - Practical - APIs and mobile apps use web-servers
Link	NOC:Introduction to Modern Application Development	Lecture 12 - Introduction to databases
Link	NOC:Introduction to Modern Application Development	Lecture 13 - Data modelling and constraints
Link	NOC:Introduction to Modern Application Development	Lecture 14 - Interacting with a DBMS
Link	NOC:Introduction to Modern Application Development	Lecture 15 - Practical - Deeper exploration of a DBMS (column types and more)
Link	NOC:Introduction to Modern Application Development	Lecture 16 - Introduction to SQL
Link	NOC:Introduction to Modern Application Development	Lecture 17 - Understanding database performance
Link	NOC:Introduction to Modern Application Development	Lecture 18 - Transactions and ACID properties
Link	NOC:Introduction to Modern Application Development	Lecture 19 - Database security, backup and recovery
Link	NOC:Introduction to Modern Application Development	Lecture 20 - Analytics and Views
Link	NOC:Introduction to Modern Application Development	Lecture 21 - Scaling a database
Link	NOC:Introduction to Modern Application Development	Lecture 22 - Connecting your webapp to your database and SQL Injection
Link	NOC:Introduction to Modern Application Development	Lecture 23 - SQL and NoSQL systems
Link	NOC:Introduction to Modern Application Development	Lecture 24 - Authentication with HTTP
Link	NOC:Introduction to Modern Application Development	Lecture 25 - Understanding security, and some best practices for webapps
Link	NOC:Introduction to Modern Application Development	Lecture 26 - Introduction to authentication, hashing, curl and sessions
Link	NOC:Introduction to Modern Application Development	Lecture 27 - Introduction to mobile apps
Link	NOC:Introduction to Modern Application Development	Lecture 28 - Introduction to Mobile Application Development Part 2
Link	NOC:Introduction to Modern Application Development	Lecture 29 - Introduction to Android
Link	NOC:Introduction to Modern Application Development	Lecture 30 - Getting started with Android Application Development
Link	NOC:Introduction to Modern Application Development	Lecture 31 - Building Custom UI using XML and Logs
Link	NOC:Introduction to Modern Application Development	Lecture 32 - Building a Blog App
Link	NOC:Introduction to Modern Application Development	Lecture 33 - Deploying an app to the Google Play Store
Link	NOC:Introduction to Modern Application Development	Lecture 34 - Introduction to iOS
Link	NOC:Introduction to Modern Application Development	Lecture 35 - The API Economy
Link	NOC:Introduction to Modern Application Development	Lecture 36 - Version Control using Git
Link	NOC:Introduction to Modern Application Development	Lecture 37 - Backend Architectures
Link	NOC:Information Security-3	Lecture 1 - Operating System Introduction
Link	NOC:Information Security-3	Lecture 2 - Storage Hierarchy, Exceptions, Interrupts and traps
Link	NOC:Information Security-3	Lecture 3 - OS Management Services
Link	NOC:Information Security-3	Lecture 4 - OS Security Issues
Link	NOC:Information Security-3	Lecture 5 - Process and Threads
Link	NOC:Information Security-3	Lecture 6 - Process Scheduling
Link	NOC:Information Security-3	Lecture 7 - Scheduling Algorithm
Link	NOC:Information Security-3	Lecture 8 - Process Synchronization
Link	NOC:Information Security-3	Lecture 9 - Memory Management - 1
Link	NOC:Information Security-3	Lecture 10 - Memory Management - 2
Link	NOC:Information Security-3	Lecture 11 - File Systems - 1
Link	NOC:Information Security-3	Lecture 12 - File Systems - 2
Link	NOC:Information Security-3	Lecture 13 - Unix Filesystem
Link	NOC:Information Security-3	Lecture 14 - Unix Filesystem (Continued...)
Link	NOC:Information Security-3	Lecture 15 - Linux: Basic Commands
Link	NOC:Information Security-3	Lecture 16 - Linux: Basic Commands (Continued...)
Link	NOC:Information Security-3	Lecture 17 - Linux: Users and Permissions
Link	NOC:Information Security-3	Lecture 18 - Linux: I/O Redirection and Pipes
Link	NOC:Information Security-3	Lecture 19 - Linux: Task Control
Link	NOC:Information Security-3	Lecture 20 - Linux: Shell Environment
Link	NOC:Information Security-3	Lecture 21 - Linux: Text Editors
Link	NOC:Information Security-3	Lecture 22 - Linux: Compression / Archiving
Link	NOC:Information Security-3	Lecture 23 - Linux: Print and Sync Commands
Link	NOC:Information Security-3	Lecture 24 - Linux: File Comparison
Link	NOC:Information Security-3	Lecture 25 - Basic Networking Administration
Link	NOC:Information Security-3	Lecture 26 - Filesystems and Devices
Link	NOC:Information Security-3	Lecture 27 - Shell Introduction
Link	NOC:Information Security-3	Lecture 28 - Shell Comments and Variables
Link	NOC:Information Security-3	Lecture 29 - Shell Variables
Link	NOC:Information Security-3	Lecture 30 - Shell Arrays and Arithmetic
Link	NOC:Information Security-3	Lecture 31 - Shell Condition and Relation
Link	NOC:Information Security-3	Lecture 32 - Shell Examples
Link	NOC:Information Security-3	Lecture 33 - Shell Functions
Link	NOC:Information Security-3	Lecture 34 - Shell File Test
Link	NOC:Information Security-3	Lecture 35 - Shell Loop Control
Link	NOC:Information Security-3	Lecture 36 - Shell Script Variations
Link	NOC:Information Security-3	Lecture 37 - Shell Pattern Matching
Link	NOC:Information Security-3	Lecture 38 - Shell Case Statements
Link	NOC:Information Security-3	Lecture 39 - Shell Co-routines
Link	NOC:Information Security-3	Lecture 40 - Shell Signals and Traps
Link	NOC:Information Security-3	Lecture 41 - Shell Subshell
Link	NOC:Information Security-3	Lecture 42 - Shell Declarations
Link	NOC:Information Security-3	Lecture 43 - Shell Examples 2
Link	NOC:Information Security-3	Lecture 44 - Shell Review
Link	NOC:Information Security-3	Lecture 45 - An Introduction
Link	NOC:Information Security-3	Lecture 46 - Structure of a Network
Link	NOC:Information Security-3	Lecture 47 - Network Core - Definition
Link	NOC:Information Security-3	Lecture 48 - Network Access and Physical Media
Link	NOC:Information Security-3	Lecture 49 - Structure of ISP and Packet Delays
Link	NOC:Information Security-3	Lecture 50 - Network Protocol Layers
Link	NOC:Information Security-3	Lecture 51 - Network Devices
Link	NOC:Information Security-3	Lecture 52 - Network Security - An Introduction
Link	NOC:Information Security-3	Lecture 53 - Public Key Cryptography
Link	NOC:Information Security-3	Lecture 54 - Digital Signatures
Link	NOC:Information Security-3	Lecture 55 - Security in Practise
Link	NOC:Information Security-3	Lecture 56 - Security in Practise (Continued...)
Link	NOC:Information Security-3	Lecture 57 - Wireshark
Link	NOC:Information Security-3	Lecture 58 - Snort
Link	NOC:Information Security-3	Lecture 59 - Review I
Link	NOC:Information Security-3	Lecture 60 - Review II
Link	NOC:AI:Constraint Satisfaction	Lecture 1 - Constraint Satisfaction Problems
Link	NOC:AI:Constraint Satisfaction	Lecture 2 - CSP Examples: Map colouring, N-Queens, Classroom scheduling
Link	NOC:AI:Constraint Satisfaction	Lecture 3 - CSP Examples: Huffman-Clowes Labelling, Waltz Algorithm, Crosswords
Link	NOC:AI:Constraint Satisfaction	Lecture 4 - Model Based Diagnosis - An application of CSP
Link	NOC:AI:Constraint Satisfaction	Lecture 5 - Constraint Networks - An Introduction
Link	NOC:AI:Constraint Satisfaction	Lecture 6 - Binary Constraint Networks (BCN), Equivalent Networks
Link	NOC:AI:Constraint Satisfaction	Lecture 7 - Projection Networks
Link	NOC:AI:Constraint Satisfaction	Lecture 8 - Constraint Propagation
Link	NOC:AI:Constraint Satisfaction	Lecture 9 - Algorithms AC1 and AC3
Link	NOC:AI:Constraint Satisfaction	Lecture 10 - Can we do better than AC3?
Link	NOC:AI:Constraint Satisfaction	Lecture 11 - Algorithm AC4
Link	NOC:AI:Constraint Satisfaction	Lecture 12 - Generalized AC, Path-Consistency
Link	NOC:AI:Constraint Satisfaction	Lecture 13 - i-Consistency, Algorithm PC1
Link	NOC:AI:Constraint Satisfaction	Lecture 14 - Algorithm PC2, Strong i-Consistency
Link	NOC:AI:Constraint Satisfaction	Lecture 15 - Directional Consistency and Graph Ordering
Link	NOC:AI:Constraint Satisfaction	Lecture 16 - Min-Width and Min-Induced-Width Ordering
Link	NOC:AI:Constraint Satisfaction	Lecture 17 - Directional Arc-Consistency and Tree CSPs
Link	NOC:AI:Constraint Satisfaction	Lecture 18 - Directional Path-Consistency and Directional i-Consistency
Link	NOC:AI:Constraint Satisfaction	Lecture 19 - Backtrack-Free search and Adaptive Consistency
Link	NOC:AI:Constraint Satisfaction	Lecture 20 - Adaptive Consistency: Bucket Elimination
Link	NOC:AI:Constraint Satisfaction	Lecture 21 - Search Methods for Solving CSPs
Link	NOC:AI:Constraint Satisfaction	Lecture 22 - Algorithm Backtracking
Link	NOC:AI:Constraint Satisfaction	Lecture 23 - Look-Ahead Methods in Search
Link	NOC:AI:Constraint Satisfaction	Lecture 24 - Look-Ahead Search: Examples
Link	NOC:AI:Constraint Satisfaction	Lecture 25 - Combining Search with Reasoning: Algorithm DPLL
Link	NOC:AI:Constraint Satisfaction	Lecture 26 - Algorithm Backmarking
Link	NOC:AI:Constraint Satisfaction	Lecture 27 - Dynamic Value Ordering, Dynamic Variable Ordering
Link	NOC:AI:Constraint Satisfaction	Lecture 28 - Look-Back Methods - Definitions
Link	NOC:AI:Constraint Satisfaction	Lecture 29 - Gaschnigs Backjumping: The Culprit Variable
Link	NOC:AI:Constraint Satisfaction	Lecture 30 - Gaschnigs Backjumping, Graph-Based Backjumping
Link	NOC:AI:Constraint Satisfaction	Lecture 31 - Graph-Based Backjumping: Internal and Relevant Dead-Ends
Link	NOC:AI:Constraint Satisfaction	Lecture 32 - Conflict-Directed Backjumping: Definitions
Link	NOC:AI:Constraint Satisfaction	Lecture 33 - Algorithm Conflict-Directed Backjumping
Link	NOC:AI:Constraint Satisfaction	Lecture 34 - Combining Look-Ahead and Look-Back: FC-CBJ
Link	NOC:AI:Constraint Satisfaction	Lecture 35 - Learning During Search
Link	NOC:AI:Constraint Satisfaction	Lecture 36 - Model Based Systems
Link	NOC:AI:Constraint Satisfaction	Lecture 37 - Model Based Diagnosis
Link	NOC:AI:Constraint Satisfaction	Lecture 38 - Truth Maintenance Systems
Link	NOC:AI:Constraint Satisfaction	Lecture 39 - Planning as Constraint Satisfaction
Link	NOC:AI:Constraint Satisfaction	Lecture 40 - Planning as Constraint Satisfaction (Continued...)
Link	NOC:AI:Constraint Satisfaction	Lecture 41 - Planning as Satisfiability
Link	NOC:AI:Constraint Satisfaction	Lecture 42 - Wrapping Up and Further Study
Link	NOC:Computer Organization	Lecture 1 - Introduction High Speed Circuit - Design Recursive Doubling
Link	NOC:Computer Organization	Lecture 2 - High Speed Circuit Design - Fast Adder Circuits
Link	NOC:Computer Organization	Lecture 3 - Lab 1 : Introduction
Link	NOC:Computer Organization	Lecture 4 - Fast Adder Circuits (Continued...)
Link	NOC:Computer Organization	Lecture 5 - Fast Multiplier Circuit
Link	NOC:Computer Organization	Lecture 6 - Fast Multiplier Circuit (Continued...)
Link	NOC:Computer Organization	Lecture 7 - Programming using X86 ISA - Addressing Modes
Link	NOC:Computer Organization	Lecture 8 - Programming using X86 ISA - Addressing Modes
Link	NOC:Computer Organization	Lecture 9 - Floating point - Precision and Accuracy
Link	NOC:Computer Organization	Lecture 10 - Floating Point - Addition, Subtraction and Multiplication
Link	NOC:Computer Organization	Lecture 11 - Instruction Set Architecture
Link	NOC:Computer Organization	Lecture 12 - Instruction Set Architecture (Continued...)
Link	NOC:Computer Organization	Lecture 13 - Lab 2 : Segmentation - Part I
Link	NOC:Computer Organization	Lecture 14 - Lab 2 : Segmentation - Part II
Link	NOC:Computer Organization	Lecture 15 - Lab 2 : Segmentation - Part III
Link	NOC:Computer Organization	Lecture 16 - Orthogonal ISA, C Constructs Mapping, Addressing Modes
Link	NOC:Computer Organization	Lecture 17 - Atomic and Predicated Instructions
Link	NOC:Computer Organization	Lecture 18 - Atomic and Predicated Instructions (Continued...)
Link	NOC:Computer Organization	Lecture 19 - General Purpose Registers
Link	NOC:Computer Organization	Lecture 20 - Expanding opcodes
Link	NOC:Computer Organization	Lecture 21 - Introduction to Pipelining
Link	NOC:Computer Organization	Lecture 22 - Pipelining
Link	NOC:Computer Organization	Lecture 23 - Data Hazards
Link	NOC:Computer Organization	Lecture 24 - Lab 2 : Instruction Scheduling - Static and Dynamic
Link	NOC:Computer Organization	Lecture 25 - Dynamic Instruction Scheduling
Link	NOC:Computer Organization	Lecture 26 - Dynamic Instruction Scheduling (Continued...)
Link	NOC:Computer Organization	Lecture 27 - Control Hazard, Branch Prediction
Link	NOC:Computer Organization	Lecture 28 - Process Management
Link	NOC:Computer Organization	Lecture 29 - Branch prediction
Link	NOC:Computer Organization	Lecture 30 - Global Branch Prediction
Link	NOC:Computer Organization	Lecture 31 - Structural Hazard, Architectural Enhancements
Link	NOC:Computer Organization	Lecture 32 - Lab 3 : Virtual Memory
Link	NOC:Computer Organization	Lecture 33 - Locality of Reference, Demand paging
Link	NOC:Computer Organization	Lecture 34 - Page Replacement Algorithm
Link	NOC:Computer Organization	Lecture 35 - Multilevel Paging, Translational Lookaside Buffer
Link	NOC:Computer Organization	Lecture 36 - Multilevel Paging
Link	NOC:Computer Organization	Lecture 37 - Multilevel Paging - Part 1
Link	NOC:Computer Organization	Lecture 38 - Page Frame Allocation, Beledy's Anomaly
Link	NOC:Computer Organization	Lecture 39 - Paging, Cache
Link	NOC:Computer Organization	Lecture 40 - Cache
Link	NOC:Computer Organization	Lecture 41 - Cache Organisation
Link	NOC:Computer Organization	Lecture 42 - Cache - Cache Coherency, Dual Ported Cache
Link	NOC:Computer Organization	Lecture 43 - Multilevel Caching, Multitasking
Link	NOC:Computer Organization	Lecture 44 - Cache, Degree of Multiprogramming
Link	NOC:Computer Organization	Lecture 45 - Shared Memory Architecture
Link	NOC:Computer Organization	Lecture 46 - Shared Memory Architecture - Part I
Link	NOC:Computer Organization	Lecture 47 - Virtually Indexed - Virtually Tagged and Physically Tagged Caches
Link	NOC:Computer Organization	Lecture 48 - Lab 4 : Task Switching (Continued...)
Link	NOC:Computer Organization	Lecture 49 - Shared Memory Architecture, Cache Coherence
Link	NOC:Computer Organization	Lecture 50 - Concurrent Programming in Hardware - Part I
Link	NOC:Computer Organization	Lecture 51 - Concurrent Programming in Hardware - Part II
Link	NOC:Computer Organization	Lecture 52 - Conclusion : Recent Trends in Computer Organization and Architecture
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 1 - Overview of Cellular Systems - Part 1
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 2 - Overview of Cellular Systems - Part 2
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 3 - Overview of Cellular Systems - Part 3
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 4 - 5G and other Wireless Technologies
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 5 - Basic Cellular Terminology
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 6 - Introduction to Antennas and Propagation Models
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 7 - Link budget, Fading margin, Outage
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 8 - Cellular Concept
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 9 - Cellular system design and analysis
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 10 - Cellular Geometry and System Design
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 11 - Cellular System Capacity, Trunking
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 12 - Handoff and Mobility
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 13 - Handoff Part 2, Classification of Signal Variation
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 14 - Shadowing, Outage, Multipath
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 15 - Rayleigh Fading and Statistical Characterization
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 16 - Properties of Rayleigh Distribution
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 17 - BER in Fading, Narrowband vs Wideband Channels
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 18 - Characterization of Multipath Fading Channels
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 19 - Choice of Modulation
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 20 - Coherent versus Differential Detection
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 21 - Review of Lecture 1-19
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 22 - Coherent vs Differential Detection - Part II and BER in Fading
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 23 - BER in Fading - Part II, Ricean Fading
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 24 - Ricean and Nakagami Fading, Moment Generating Function (MGF)
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 25 - MGF Part II, WSSUS Model
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 26 - WSSUS Part II, Coherence Time, Doppler Spectrum
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 27 - Doppler, Temporal Characteristics of Fading Channels
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 28 - WSSUS-Characterization of Time Dispersive Fading Channels
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 29 - WSSUS-Classification of Fading Channels
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 30 - Practical Channel Models (ITU, COST), Computer generation of Rayleigh fading
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 31 - Rayleigh Fading simulation - Clark and Gans Method, Jakes’ Method
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 32 - Jakes’ Method properties
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 33 - Introduction to Diversity, Antenna selection diversity
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 34 - Statistical Characterization of Antenna Diversity, Optimal Diversity Combining
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 35 - BER in fading, Equal Gain Combining
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 36 - Array Gain, Diversity Gain, Alamouti Scheme
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 37 - Alamouti Scheme - Part II, Channel Capacity
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 38 - Capacity of fading Channels, Capacity with Outage
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 39 - Channel State Information, Optimum Power Allocation
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 40
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 41
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 42
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 43
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 44
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 45
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 46
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 47
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 48 - Rake Receiver for multipath channels
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 49 - Multiuser environment
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 50 - CDMA system Capacity
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 51 - CDMA Multiuser Detectors - Part 1
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 52 - CDMA Multiuser Detectors - Part 2
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 53
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 54
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 55
Link	NOC:Introduction to Wireless and Cellular Communications	Lecture 56
Link	NOC:Distributed Systems	Lecture 1 - Introduction to Distributed Systems
Link	NOC:Distributed Systems	Lecture 2 - Basic Algorithms in Message Passing System
Link	NOC:Distributed Systems	Lecture 3 - Leader Election in Rings
Link	NOC:Distributed Systems	Lecture 4 - Distributed Models of Computation, Causality and Logical Time
Link	NOC:Distributed Systems	Lecture 5 - Size of Vector Clock, Matrix Clocks, Virtual Time and Physical Clock Synchronization
Link	NOC:Distributed Systems	Lecture 6 - Global State and Snapshot Recording Algorithms
Link	NOC:Distributed Systems	Lecture 7 - Distributed Mutual Exclusion and Non-Token based Approaches
Link	NOC:Distributed Systems	Lecture 8 - Quorum Based Distributed Mutual Exclusion Approaches
Link	NOC:Distributed Systems	Lecture 9 - Token Based Distributed Mutual Exclusion Approaches
Link	NOC:Distributed Systems	Lecture 10 - Consensus and Agreement Algorithms
Link	NOC:Distributed Systems	Lecture 11 - Checkpointing and Rollback Recovery
Link	NOC:Distributed Systems	Lecture 12 - Deadlock Detection in Distributed Systems
Link	NOC:Distributed Systems	Lecture 13 - Distributed Shared Memory
Link	NOC:Distributed Systems	Lecture 14 - Distributed Minimum Spanning Tree
Link	NOC:Distributed Systems	Lecture 15 - Termination Detection in Distributed System
Link	NOC:Distributed Systems	Lecture 16 - Message Ordering and Group Communication
Link	NOC:Distributed Systems	Lecture 17 - Self-Stabilization
Link	NOC:Distributed Systems	Lecture 18 - Case Study 1 - Distributed Randomized Algorithms
Link	NOC:Distributed Systems	Lecture 19 - Case Study 2 - Peer-to-Peer Computing and Structured Overlay Network
Link	NOC:Distributed Systems	Lecture 20 - Case Study 3 - The Google File System (GFS)
Link	NOC:Distributed Systems	Lecture 21 - Case Study 4 - MapReduce
Link	NOC:Distributed Systems	Lecture 22 - Case Study 5 - HDFS
Link	NOC:Distributed Systems	Lecture 23 - Case Study 6 - Spark
Link	NOC:Distributed Systems	Lecture 24 - Case Study 7 - Distributed Algorithms for Sensor Networks
Link	NOC:Distributed Systems	Lecture 25 - Case Study 8 - Authentication in Distributed Systems
Link	NOC:Distributed Systems	Lecture 26 - Case Study 9 - Bitcoin: A Peer-to-Peer Electronic Cash System
Link	NOC:Distributed Systems	Lecture 27 - Case Study 10 - BlockChain Technology
Link	NOC:Social Networks	Lecture 1 - Introduction
Link	NOC:Social Networks	Lecture 2 - Answer to the puzzle
Link	NOC:Social Networks	Lecture 3 - Introduction to Python - 1
Link	NOC:Social Networks	Lecture 4 - Introduction to Python - 2
Link	NOC:Social Networks	Lecture 5 - Introduction to Networkx - 1
Link	NOC:Social Networks	Lecture 6 - Introduction to Networkx - 2
Link	NOC:Social Networks	Lecture 7 - Social Networks: The Challenge
Link	NOC:Social Networks	Lecture 8 - Google Page Rank
Link	NOC:Social Networks	Lecture 9 - Searching in a Network
Link	NOC:Social Networks	Lecture 10 - Link Prediction
Link	NOC:Social Networks	Lecture 11 - The Contagions
Link	NOC:Social Networks	Lecture 12 - Importance of Acquaintances
Link	NOC:Social Networks	Lecture 13 - Marketing on Social Networks
Link	NOC:Social Networks	Lecture 14 - Introduction to Datasets
Link	NOC:Social Networks	Lecture 15 - Ingredients Network
Link	NOC:Social Networks	Lecture 16 - Synonymy Network
Link	NOC:Social Networks	Lecture 17 - Web Graph
Link	NOC:Social Networks	Lecture 18 - Social Network Datasets
Link	NOC:Social Networks	Lecture 19 - Datasets : Different Formats
Link	NOC:Social Networks	Lecture 20 - Datasets : How to Download?
Link	NOC:Social Networks	Lecture 21 - Datasets : Analysing Using Networkx
Link	NOC:Social Networks	Lecture 22 - Datasets : Analysing Using Gephi
Link	NOC:Social Networks	Lecture 23 - Introduction : Emergence of Connectedness
Link	NOC:Social Networks	Lecture 24 - Advanced Material : Emergence of Connectedness
Link	NOC:Social Networks	Lecture 25 - Programming Illustration : Emergence of Connectedness
Link	NOC:Social Networks	Lecture 26 - Summary to Datasets
Link	NOC:Social Networks	Lecture 27 - Introduction
Link	NOC:Social Networks	Lecture 28 - Granovetter's Strength of weak ties
Link	NOC:Social Networks	Lecture 29 - Triads, clustering coefficient and neighborhood overlap
Link	NOC:Social Networks	Lecture 30 - Structure of weak ties, bridges, and local bridges
Link	NOC:Social Networks	Lecture 31 - Validation of Granovetter's experiment using cell phone data
Link	NOC:Social Networks	Lecture 32 - Embededness
Link	NOC:Social Networks	Lecture 33 - Structural Holes
Link	NOC:Social Networks	Lecture 34 - Social Capital
Link	NOC:Social Networks	Lecture 35 - Finding Communities in a graph (Brute Force Method)
Link	NOC:Social Networks	Lecture 36 - Community Detection Using Girvan Newman Algorithm
Link	NOC:Social Networks	Lecture 37 - Visualising Communities using Gephi
Link	NOC:Social Networks	Lecture 38 - Tie Strength, Social Media and Passive Engagement
Link	NOC:Social Networks	Lecture 39 - Betweenness Measures and Graph Partitioning
Link	NOC:Social Networks	Lecture 40 - Strong and Weak Relationship - Summary
Link	NOC:Social Networks	Lecture 41 - Introduction to Homophily - Should you watch your company ?
Link	NOC:Social Networks	Lecture 42 - Selection and Social Influence
Link	NOC:Social Networks	Lecture 43 - Interplay between Selection and Social Influence
Link	NOC:Social Networks	Lecture 44 - Homophily - Definition and measurement
Link	NOC:Social Networks	Lecture 45 - Foci Closure and Membership Closure
Link	NOC:Social Networks	Lecture 46 - Introduction to Fatman Evolutionary model
Link	NOC:Social Networks	Lecture 47 - Fatman Evolutionary Model - The Base Code (Adding people)
Link	NOC:Social Networks	Lecture 48 - Fatman Evolutionary Model - The Base Code (Adding Social Foci)
Link	NOC:Social Networks	Lecture 49 - Fatman Evolutionary Model - Implementing Homophily
Link	NOC:Social Networks	Lecture 50 - Quantifying the Effect of Triadic Closure
Link	NOC:Social Networks	Lecture 51 - Fatman Evolutionary Model - Implementing Closures
Link	NOC:Social Networks	Lecture 52 - Fatman Evolutionary Model - Implementing Social Influence
Link	NOC:Social Networks	Lecture 53 - Fatman Evolutionary Model - Storing and analyzing longitudnal data
Link	NOC:Social Networks	Lecture 54 - Spatial Segregation : An Introduction
Link	NOC:Social Networks	Lecture 55 - Spatial Segregation : Simulation of the Schelling Model
Link	NOC:Social Networks	Lecture 56 - Spatial Segregation : Conclusion
Link	NOC:Social Networks	Lecture 57 - Schelling Model Implementation - 1 (Introduction)
Link	NOC:Social Networks	Lecture 58 - Schelling Model Implementation - 2 (Base Code)
Link	NOC:Social Networks	Lecture 59 - Schelling Model Implementation - 3 (Visualization and Getting a list of boundary and internal nodes)
Link	NOC:Social Networks	Lecture 60 - Schelling Model Implementation - 4 (Getting a list of unsatisfied nodes)
Link	NOC:Social Networks	Lecture 61 - Schelling Model Implementation - 5 (Shifting the unsatisfied nodes and visualizing the final graph)
Link	NOC:Social Networks	Lecture 62 - Chapter - 5 Positive and Negative Relationships (Introduction)
Link	NOC:Social Networks	Lecture 63 - Structural Balance
Link	NOC:Social Networks	Lecture 64 - Enemy'S Enemy is a Friend
Link	NOC:Social Networks	Lecture 65 - Characterizing the Structure of Balanced Networks
Link	NOC:Social Networks	Lecture 66 - Balance Theorem
Link	NOC:Social Networks	Lecture 67 - Proof of Balance Theorem
Link	NOC:Social Networks	Lecture 68 - Introduction to positive and negative edges
Link	NOC:Social Networks	Lecture 69 - Outline of implemantation
Link	NOC:Social Networks	Lecture 70 - Creating graph, displaying it and counting unstable triangles
Link	NOC:Social Networks	Lecture 71 - Moving a network from an unstable to stable state
Link	NOC:Social Networks	Lecture 72 - Forming two coalitions
Link	NOC:Social Networks	Lecture 73 - Forming two coalitions (Continued...)
Link	NOC:Social Networks	Lecture 74 - Visualizing coalitions and the evolution
Link	NOC:Social Networks	Lecture 75 - The Web Graph
Link	NOC:Social Networks	Lecture 76 - Collecting the Web Graph
Link	NOC:Social Networks	Lecture 77 - Equal Coin Distribution
Link	NOC:Social Networks	Lecture 78 - Random Coin Dropping
Link	NOC:Social Networks	Lecture 79 - Google Page Ranking Using Web Graph
Link	NOC:Social Networks	Lecture 80 - Implementing PageRank Using Points Distribution Method - 1
Link	NOC:Social Networks	Lecture 81 - Implementing PageRank Using Points Distribution Method - 2
Link	NOC:Social Networks	Lecture 82 - Implementing PageRank Using Points Distribution Method - 3
Link	NOC:Social Networks	Lecture 83 - Implementing PageRank Using Points Distribution Method - 4
Link	NOC:Social Networks	Lecture 84 - Implementing PageRank Using Random Walk Method - 1
Link	NOC:Social Networks	Lecture 85 - Implementing PageRank Using Random Walk Method - 2
Link	NOC:Social Networks	Lecture 86 - DegreeRank versus PageRank
Link	NOC:Social Networks	Lecture 87 - We Follow
Link	NOC:Social Networks	Lecture 88 - Why do we Follow?
Link	NOC:Social Networks	Lecture 89 - Diffusion in Networks
Link	NOC:Social Networks	Lecture 90 - Modeling Diffusion
Link	NOC:Social Networks	Lecture 91 - Modeling Diffusion (Continued...)
Link	NOC:Social Networks	Lecture 92 - Impact of Commmunities on Diffusion
Link	NOC:Social Networks	Lecture 93 - Cascade and Clusters
Link	NOC:Social Networks	Lecture 94 - Knowledge, Thresholds and the Collective Action
Link	NOC:Social Networks	Lecture 95 - An Introduction to the Programming Screencast (Coding 4 major ideas)
Link	NOC:Social Networks	Lecture 96 - The Base Code
Link	NOC:Social Networks	Lecture 97 - Coding the First Big Idea - Increasing the Payoff
Link	NOC:Social Networks	Lecture 98 - Coding the Second Big Idea - Key People
Link	NOC:Social Networks	Lecture 99 - Coding the Third Big Idea - Impact of Communities on Cascades
Link	NOC:Social Networks	Lecture 100 - Coding the Fourth Big Idea - Cascades and Clusters
Link	NOC:Social Networks	Lecture 101 - Introduction to Hubs and Authorities (A Story)
Link	NOC:Social Networks	Lecture 102 - Principle of Repeated Improvement (A story)
Link	NOC:Social Networks	Lecture 103 - Principle of Repeated Improvement (An example)
Link	NOC:Social Networks	Lecture 104 - Hubs and Authorities
Link	NOC:Social Networks	Lecture 105 - PageRank Revisited - An example
Link	NOC:Social Networks	Lecture 106 - PageRank Revisited - Convergence in the Example
Link	NOC:Social Networks	Lecture 107 - PageRank Revisited - Conservation and Convergence
Link	NOC:Social Networks	Lecture 108 - PageRank, conservation and convergence - Another example
Link	NOC:Social Networks	Lecture 109 - Matrix Multiplication (Pre-requisite 1)
Link	NOC:Social Networks	Lecture 110 - Convergence in Repeated Matrix Multiplication (Pre-requisite 1)
Link	NOC:Social Networks	Lecture 111 - Addition of Two Vectors (Pre-requisite 2)
Link	NOC:Social Networks	Lecture 112 - Convergence in Repeated Matrix Multiplication- The Details
Link	NOC:Social Networks	Lecture 113 - PageRank as a Matrix Operation
Link	NOC:Social Networks	Lecture 114 - PageRank Explained
Link	NOC:Social Networks	Lecture 115 - Introduction to Powerlaw
Link	NOC:Social Networks	Lecture 116 - Why do Normal Distributions Appear?
Link	NOC:Social Networks	Lecture 117 - Power Law emerges in WWW graphs
Link	NOC:Social Networks	Lecture 118 - Detecting the Presence of Powerlaw
Link	NOC:Social Networks	Lecture 119 - Rich Get Richer Phenomenon
Link	NOC:Social Networks	Lecture 120 - Summary So Far
Link	NOC:Social Networks	Lecture 121 - Implementing Rich-getting-richer Phenomenon (Barabasi-Albert Model) - 1
Link	NOC:Social Networks	Lecture 122 - Implementing Rich-getting-richer Phenomenon (Barabasi-Albert Model) - 2
Link	NOC:Social Networks	Lecture 123 - Implementing a Random Graph (Erdos-Renyi Model) - 1
Link	NOC:Social Networks	Lecture 124 - Implementing a Random Graph (Erdos-Renyi Model) - 2
Link	NOC:Social Networks	Lecture 125 - Forced Versus Random Removal of Nodes (Attack Survivability)
Link	NOC:Social Networks	Lecture 126 - Rich Get Richer - A Possible Reason
Link	NOC:Social Networks	Lecture 127 - Rich Get Richer - The Long Tail
Link	NOC:Social Networks	Lecture 128 - Epidemics- An Introduction
Link	NOC:Social Networks	Lecture 129 - Introduction to epidemics (Continued...)
Link	NOC:Social Networks	Lecture 130 - Simple Branching Process for Modeling Epidemics
Link	NOC:Social Networks	Lecture 131 - Simple Branching Process for Modeling Epidemics (Continued...)
Link	NOC:Social Networks	Lecture 132 - Basic Reproductive Number
Link	NOC:Social Networks	Lecture 133 - Modeling epidemics on complex networks
Link	NOC:Social Networks	Lecture 134 - SIR and SIS spreading models
Link	NOC:Social Networks	Lecture 135 - Comparison between SIR and SIS spreading models
Link	NOC:Social Networks	Lecture 136 - Basic Reproductive Number Revisited for Complex Networks
Link	NOC:Social Networks	Lecture 137 - Percolation model
Link	NOC:Social Networks	Lecture 138 - Analysis of basic reproductive number in branching model (The problem statement)
Link	NOC:Social Networks	Lecture 139 - Analyzing basic reproductive number - 2
Link	NOC:Social Networks	Lecture 140 - Analyzing basic reproductive number - 3
Link	NOC:Social Networks	Lecture 141 - Analyzing basic reproductive number - 4
Link	NOC:Social Networks	Lecture 142 - Analyzing basic reproductive number - 5
Link	NOC:Social Networks	Lecture 143 - Small World Effect - An Introduction
Link	NOC:Social Networks	Lecture 144 - Milgram's Experiment
Link	NOC:Social Networks	Lecture 145 - The Reason
Link	NOC:Social Networks	Lecture 146 - The Generative Model
Link	NOC:Social Networks	Lecture 147 - Decentralized Search - I
Link	NOC:Social Networks	Lecture 148 - Decentralized Search - II
Link	NOC:Social Networks	Lecture 149 - Decentralized Search - III
Link	NOC:Social Networks	Lecture 150 - Programming illustration- Small world networks : Introduction
Link	NOC:Social Networks	Lecture 151 - Base code
Link	NOC:Social Networks	Lecture 152 - Making homophily based edges
Link	NOC:Social Networks	Lecture 153 - Adding weak ties
Link	NOC:Social Networks	Lecture 154 - Plotting change in diameter
Link	NOC:Social Networks	Lecture 155 - Programming illustration- Myopic Search : Introduction>
Link	NOC:Social Networks	Lecture 156 - Myopic Search
Link	NOC:Social Networks	Lecture 157 - Myopic Search comparision to optimal search
Link	NOC:Social Networks	Lecture 158 - Time Taken by Myopic Search
Link	NOC:Social Networks	Lecture 159 - PseudoCores : Introduction
Link	NOC:Social Networks	Lecture 160 - How to be Viral
Link	NOC:Social Networks	Lecture 161 - Who are the right key nodes?
Link	NOC:Social Networks	Lecture 162 - finding the right key nodes (the core)
Link	NOC:Social Networks	Lecture 163 - Coding K-Shell Decomposition
Link	NOC:Social Networks	Lecture 164 - Coding cascading Model
Link	NOC:Social Networks	Lecture 165 - Coding the importance of core nodes in cascading
Link	NOC:Social Networks	Lecture 166 - Pseudo core
Link	NOC:An Introduction to Probability in Computing	Lecture 1 - Introduction to Probability - A box of chocolates
Link	NOC:An Introduction to Probability in Computing	Lecture 2 - Introduction to Probability - Axiomatic Approach to Probability Theory
Link	NOC:An Introduction to Probability in Computing	Lecture 3 - Introduction to Probability - Verifying Matrix Multipilication (Statement,Algorithm and Independence)
Link	NOC:An Introduction to Probability in Computing	Lecture 4 - Introduction to Probability - Verifying Matrix Multipilication (Correctness and Law of Total Probability)
Link	NOC:An Introduction to Probability in Computing	Lecture 5 - Introduction to Probability - How Strong is your Network?
Link	NOC:An Introduction to Probability in Computing	Lecture 6 - Introduction to Probability - How to Understand the World? Play with it!
Link	NOC:An Introduction to Probability in Computing	Lecture 7 - Tutorial 1
Link	NOC:An Introduction to Probability in Computing	Lecture 8 - Tutorial 2
Link	NOC:An Introduction to Probability in Computing	Lecture 9 - Discrete Random Variables - Basic Definitions
Link	NOC:An Introduction to Probability in Computing	Lecture 10 - Discrete Random Variables - Linearity of Expectation and Jensens Inequality
Link	NOC:An Introduction to Probability in Computing	Lecture 11 - Discrete Random Variables - Conditional Expectation I
Link	NOC:An Introduction to Probability in Computing	Lecture 12 - Discrete Random Variables - Conditional Expectation II
Link	NOC:An Introduction to Probability in Computing	Lecture 13 - Discrete Random Variables - Geometric Random Variables and Collecting Coupons
Link	NOC:An Introduction to Probability in Computing	Lecture 14 - Discrete Random Variables - Randomized Selection
Link	NOC:An Introduction to Probability in Computing	Lecture 15 - Tail Bounds I - Markov's Inequality
Link	NOC:An Introduction to Probability in Computing	Lecture 16 - Tail Bounds I - The Second Moment,Variance and Chebyshev's Inequality
Link	NOC:An Introduction to Probability in Computing	Lecture 17 - Tail Bounds I - Median via Sampling
Link	NOC:An Introduction to Probability in Computing	Lecture 18 - Tail Bounds I - Median via Sampling - Analysis
Link	NOC:An Introduction to Probability in Computing	Lecture 19 - Tail Bounds I - Moment Generating Functions and Chernoff Bounds
Link	NOC:An Introduction to Probability in Computing	Lecture 20 - Tail Bounds I - Parameter Estimation
Link	NOC:An Introduction to Probability in Computing	Lecture 21 - Tail Bounds I - Control Group Selection
Link	NOC:An Introduction to Probability in Computing	Lecture 22 - Applications of Tail Bounds - Routing in Sparse Networks
Link	NOC:An Introduction to Probability in Computing	Lecture 23 - Applications of Tail Bounds - Analysis of Valiant's Rounting
Link	NOC:An Introduction to Probability in Computing	Lecture 24 - Applications of Tail Bounds - Random Graphs
Link	NOC:An Introduction to Probability in Computing	Lecture 25 - Live Session 2
Link	NOC:An Introduction to Probability in Computing	Lecture 26 - Live Session
Link	NOC:Introduction to Human Computer Interaction	Lecture 1 - Introduction to Human Computer Interaction
Link	NOC:Introduction to Human Computer Interaction	Lecture 2 - What is HCI? Commonalities and Differences in Interfaces
Link	NOC:Introduction to Human Computer Interaction	Lecture 3 - Door handle, Elevators, Contextual Inquiry, Affinity Diagrams
Link	NOC:Introduction to Human Computer Interaction	Lecture 4 - Lab Session Contextual Inquiry
Link	NOC:Introduction to Human Computer Interaction	Lecture 5 - Lab Session Affinity Diagram
Link	NOC:Introduction to Human Computer Interaction	Lecture 6 - Tutorial on Photoshop
Link	NOC:Introduction to Human Computer Interaction	Lecture 7 - Tutorial on UI Designing using Photoshop
Link	NOC:Introduction to Human Computer Interaction	Lecture 8 - Institutional Review Board, Ethics committee, IRB documents / application, consent form
Link	NOC:Introduction to Human Computer Interaction	Lecture 9 - Tutorial on Proto.io
Link	NOC:Introduction to Human Computer Interaction	Lecture 10 - Tutorial on Lookback
Link	NOC:Introduction to Human Computer Interaction	Lecture 11 - How to understand user needs? Surveys, Questionnaire
Link	NOC:Introduction to Human Computer Interaction	Lecture 12 - How to understand user needs? Surveys, Questionnaire - Continues
Link	NOC:Introduction to Human Computer Interaction	Lecture 13 - Prototyping: Low fidelity and High fidelity
Link	NOC:Introduction to Human Computer Interaction	Lecture 14 - User-Centered Design
Link	NOC:Introduction to Human Computer Interaction	Lecture 15 - Lab Session: Task Analysis
Link	NOC:Introduction to Human Computer Interaction	Lecture 16 - Design Patterns
Link	NOC:Introduction to Human Computer Interaction	Lecture 17 - Lab Session: Material Design
Link	NOC:Introduction to Human Computer Interaction	Lecture 18 - Usable security
Link	NOC:Introduction to Human Computer Interaction	Lecture 19 - Lab Session: Task Analysis - 2
Link	NOC:Introduction to Human Computer Interaction	Lecture 20 - Continuity of Usable Security
Link	NOC:Introduction to Human Computer Interaction	Lecture 21 - Visual Design
Link	NOC:Introduction to Human Computer Interaction	Lecture 22 - Visual Design - 2
Link	NOC:Introduction to Human Computer Interaction	Lecture 23 - Crypto price Tracker App
Link	NOC:Introduction to Human Computer Interaction	Lecture 24 - Interacto
Link	NOC:Introduction to Human Computer Interaction	Lecture 25 - Tech Hinder
Link	NOC:Introduction to Human Computer Interaction	Lecture 26 - busKARO
Link	NOC:Introduction to Human Computer Interaction	Lecture 27 - MayMayMe
Link	NOC:Introduction to Human Computer Interaction	Lecture 28 - noWhinge
Link	NOC:Information Security-IV	Lecture 1 - WISE Gen and The IT Revolution - 1
Link	NOC:Information Security-IV	Lecture 2 - WISE Gen and The IT Revolution - 1 (Continued...)
Link	NOC:Information Security-IV	Lecture 3 - WISE GEN - Next Step
Link	NOC:Information Security-IV	Lecture 4 - Network Security : A Re-cap
Link	NOC:Information Security-IV	Lecture 5 - Symmetric Key Cryptography and Digital Signatures
Link	NOC:Information Security-IV	Lecture 6 - Basic Network Security Components
Link	NOC:Information Security-IV	Lecture 7 - Internet Security Threats
Link	NOC:Information Security-IV	Lecture 8 - History of Kali Linux
Link	NOC:Information Security-IV	Lecture 9 - Penetration Testing with Kali Linux
Link	NOC:Information Security-IV	Lecture 10 - Network Security and Forensics Introduction - I
Link	NOC:Information Security-IV	Lecture 11 - Network Security and Forensics Introduction - II
Link	NOC:Information Security-IV	Lecture 12 - Penetration Testing: An Introduction
Link	NOC:Information Security-IV	Lecture 13 - Penetration testing steps in Kali Linux
Link	NOC:Information Security-IV	Lecture 14 - Kali Linux Installation
Link	NOC:Information Security-IV	Lecture 15 - Reconnaissance - Part I
Link	NOC:Information Security-IV	Lecture 16 - Reconnaissance - Part II
Link	NOC:Information Security-IV	Lecture 17 - Serverside Attacks: Tools in Kali Linux
Link	NOC:Information Security-IV	Lecture 18 - Serverside Attacks: Tools in Kali Linux (Continued...)
Link	NOC:Information Security-IV	Lecture 19 - Serverside Attacks: Tools in Kali Linux (Continued...)
Link	NOC:Information Security-IV	Lecture 20 - Serverside Attacks: Tools in Kali Linux (Continued...)
Link	NOC:Information Security-IV	Lecture 21 - Serverside Attacks: Tools in Kali Linux (Continued...)
Link	NOC:Information Security-IV	Lecture 22 - Serverside Attacks: Tools in Kali Linux (Continued...)
Link	NOC:Information Security-IV	Lecture 23 - Client Side Attacks - Tools in Kali Linux - 1
Link	NOC:Information Security-IV	Lecture 24 - Client Side Attacks - Tools in Kali Linux - 2
Link	NOC:Information Security-IV	Lecture 25 - Client Side Attacks - Tools in Kali Linux - 3
Link	NOC:Information Security-IV	Lecture 26 - Client Side Attacks - Tools in Kali Linux - 4
Link	NOC:Information Security-IV	Lecture 27 - Authentication Based Attacks - Tools in Kali Linux - 1
Link	NOC:Information Security-IV	Lecture 28 - Authentication Based Attacks - Tools in Kali Linux - 2
Link	NOC:Information Security-IV	Lecture 29 - Authentication Based Attacks - Tools in Kali Linux - 3
Link	NOC:Information Security-IV	Lecture 30 - Authentication Based Attacks - Tools in Kali Linux - 4
Link	NOC:Information Security-IV	Lecture 31 - Authentication Based Attacks - Tools in Kali Linux - 5
Link	NOC:Information Security-IV	Lecture 32 - Web Attacks - Tools in Kali Linux - 1
Link	NOC:Information Security-IV	Lecture 33 - Web Attacks - Tools in Kali Linux - 2
Link	NOC:Information Security-IV	Lecture 34 - Penetration Testing Attacks - Defensive Countermeasures
Link	NOC:Information Security-IV	Lecture 35 - Technical Fundamentals for Evidence Acquisition - 1
Link	NOC:Information Security-IV	Lecture 36 - Technical Fundamentals for Evidence Acquisition - 2
Link	NOC:Information Security-IV	Lecture 37 - Packet Capture Tools and Methods
Link	NOC:Information Security-IV	Lecture 38 - Wireshark Introduction
Link	NOC:Information Security-IV	Lecture 39 - Packet Analysis
Link	NOC:Information Security-IV	Lecture 40 - Flow Analysis
Link	NOC:Information Security-IV	Lecture 41 - Case study 1
Link	NOC:Information Security-IV	Lecture 42 - Case study 1 (Continued...)
Link	NOC:Information Security-IV	Lecture 43 - Wireless Forensics - Technology
Link	NOC:Information Security-IV	Lecture 44 - Wireless Network Security Framework
Link	NOC:Information Security-IV	Lecture 45 - Wireless Access Points - Security issues
Link	NOC:Information Security-IV	Lecture 46 - Case Study 2 - Use of tools
Link	NOC:Information Security-IV	Lecture 47 - Network Security Devices - IDS
Link	NOC:Information Security-IV	Lecture 48 - IDS Evidence Acquistion and SNORT
Link	NOC:Information Security-IV	Lecture 49 - SNORT Rules
Link	NOC:Information Security-IV	Lecture 50 - SNORT Installation
Link	NOC:Information Security-IV	Lecture 51 - SNORT Configuration and Demonstration
Link	NOC:Information Security-IV	Lecture 52 - Evidence collection in Switches and Routers
Link	NOC:Information Security-IV	Lecture 53 - Evidence collection in Routers and Firewalls
Link	NOC:Information Security-IV	Lecture 54 - IPTables rules and tool usage
Link	NOC:Information Security-IV	Lecture 55 - Logs, Rules and Automated Tools
Link	NOC:Information Security-IV	Lecture 56 - Re-cap of All Topics
Link	NOC:Information Security-IV	Lecture 57 - Introduction to Meltdown Attack
Link	NOC:Information Security-IV	Lecture 58 - Introduction to Meltdown - Address Space Basics
Link	NOC:Information Security-IV	Lecture 59 - Meltdown Attack - Out of Order Execution
Link	NOC:Information Security-IV	Lecture 60 - Meltdown Attack - Recovering from Exception
Link	NOC:Data Science for Engineers	Lecture 1 - Data science for engineers Course philosophy and expectation
Link	NOC:Data Science for Engineers	Lecture 2 - Introduction to R
Link	NOC:Data Science for Engineers	Lecture 3 - Introduction to R (Continued...)
Link	NOC:Data Science for Engineers	Lecture 4 - Variables and datatypes in R
Link	NOC:Data Science for Engineers	Lecture 5 - Data frames
Link	NOC:Data Science for Engineers	Lecture 6 - Recasting and joining of dataframes
Link	NOC:Data Science for Engineers	Lecture 7 - Arithmetic,Logical and Matrix operations in R
Link	NOC:Data Science for Engineers	Lecture 8 - Advanced programming in R : Functions
Link	NOC:Data Science for Engineers	Lecture 9 - Advanced Programming in R : Functions (Continued...)
Link	NOC:Data Science for Engineers	Lecture 10 - Control structures
Link	NOC:Data Science for Engineers	Lecture 11 - Data visualization in R Basic graphics
Link	NOC:Data Science for Engineers	Lecture 12 - Linear Algebra for Data science
Link	NOC:Data Science for Engineers	Lecture 13 - Solving Linear Equations
Link	NOC:Data Science for Engineers	Lecture 14 - Solving Linear Equations (Continued...)
Link	NOC:Data Science for Engineers	Lecture 15 - Linear Algebra - Distance,Hyperplanes and Halfspaces,Eigenvalues,Eigenvectors
Link	NOC:Data Science for Engineers	Lecture 16 - Linear Algebra - Distance,Hyperplanes and Halfspaces,Eigenvalues,Eigenvectors (Continued... 1)
Link	NOC:Data Science for Engineers	Lecture 17 - Linear Algebra - Distance,Hyperplanes and Halfspaces,Eigenvalues,Eigenvectors (Continued... 2)
Link	NOC:Data Science for Engineers	Lecture 18 - Linear Algebra - Distance,Hyperplanes and Halfspaces,Eigenvalues,Eigenvectors (Continued... 3)
Link	NOC:Data Science for Engineers	Lecture 19 - Statistical Modelling
Link	NOC:Data Science for Engineers	Lecture 20 - Random Variables and Probability Mass/Density Functions
Link	NOC:Data Science for Engineers	Lecture 21 - Sample Statistics
Link	NOC:Data Science for Engineers	Lecture 22 - Hypotheses Testing
Link	NOC:Data Science for Engineers	Lecture 23 - Optimization for Data Science
Link	NOC:Data Science for Engineers	Lecture 24 - Unconstrained Multivariate Optimization
Link	NOC:Data Science for Engineers	Lecture 25 - Unconstrained Multivariate Optimization (Continued...)
Link	NOC:Data Science for Engineers	Lecture 26 - Gradient (Steepest) Descent (OR) Learning Rule
Link	NOC:Data Science for Engineers	Lecture 27 - Multivariate Optimization With Equality Constraints
Link	NOC:Data Science for Engineers	Lecture 28 - Multivariate Optimization With Inequality Constraints
Link	NOC:Data Science for Engineers	Lecture 29 - Introduction to Data Science
Link	NOC:Data Science for Engineers	Lecture 30 - Solving Data Analysis Problems - A Guided Thought Process
Link	NOC:Data Science for Engineers	Lecture 31 - Module : Predictive Modelling
Link	NOC:Data Science for Engineers	Lecture 32 - Linear Regression
Link	NOC:Data Science for Engineers	Lecture 33 - Model Assessment
Link	NOC:Data Science for Engineers	Lecture 34 - Diagnostics to Improve Linear Model Fit
Link	NOC:Data Science for Engineers	Lecture 35 - Simple Linear Regression Model Building
Link	NOC:Data Science for Engineers	Lecture 36 - Simple Linear Regression Model Assessment
Link	NOC:Data Science for Engineers	Lecture 37 - Simple Linear Regression Model Assessment (Continued...)
Link	NOC:Data Science for Engineers	Lecture 38 - Muliple Linear Regression
Link	NOC:Data Science for Engineers	Lecture 39 - Cross Validation
Link	NOC:Data Science for Engineers	Lecture 40 - Multiple Linear Regression Modelling Building and Selection
Link	NOC:Data Science for Engineers	Lecture 41 - Classification
Link	NOC:Data Science for Engineers	Lecture 42 - Logisitic Regression
Link	NOC:Data Science for Engineers	Lecture 43 - Logisitic Regression (Continued...)
Link	NOC:Data Science for Engineers	Lecture 44 - Performance Measures
Link	NOC:Data Science for Engineers	Lecture 45 - Logisitic Regression Implementation in R
Link	NOC:Data Science for Engineers	Lecture 46 - K-Nearest Neighbors (kNN)
Link	NOC:Data Science for Engineers	Lecture 47 - K-Nearest Neighbors implementation in R
Link	NOC:Data Science for Engineers	Lecture 48 - K-means Clustering
Link	NOC:Data Science for Engineers	Lecture 49 - K-means implementation in R
Link	NOC:Data Science for Engineers	Lecture 50 - Data Science for engineers - Summary
Link	NOC:The Joy of Computing using Python	Lecture 1 - Introduction to Programming
Link	NOC:The Joy of Computing using Python	Lecture 2 - Why Programming ?
Link	NOC:The Joy of Computing using Python	Lecture 3 - Programming for Everybody
Link	NOC:The Joy of Computing using Python	Lecture 4 - Any Prerequisites ?
Link	NOC:The Joy of Computing using Python	Lecture 5 - Where to start?
Link	NOC:The Joy of Computing using Python	Lecture 6 - Why do we have so many languages?
Link	NOC:The Joy of Computing using Python	Lecture 7 - How to go about programming?
Link	NOC:The Joy of Computing using Python	Lecture 8 - Why to learn programming?
Link	NOC:The Joy of Computing using Python	Lecture 9 - What is programming?
Link	NOC:The Joy of Computing using Python	Lecture 10 - How to give instructions ?
Link	NOC:The Joy of Computing using Python	Lecture 11 - Introduction To Scratch
Link	NOC:The Joy of Computing using Python	Lecture 12 - Introduction To Loops
Link	NOC:The Joy of Computing using Python	Lecture 13 - More About Loops
Link	NOC:The Joy of Computing using Python	Lecture 14 - Solution To Looping Problem
Link	NOC:The Joy of Computing using Python	Lecture 15 - Scratch : Animation 1
Link	NOC:The Joy of Computing using Python	Lecture 16 - Scratch : Animation 2
Link	NOC:The Joy of Computing using Python	Lecture 17 - Scratch : Animation 3
Link	NOC:The Joy of Computing using Python	Lecture 18 - More On Scratch
Link	NOC:The Joy of Computing using Python	Lecture 19 - Introduction to Anaconda
Link	NOC:The Joy of Computing using Python	Lecture 20 - Installation of Anaconda
Link	NOC:The Joy of Computing using Python	Lecture 21 - Introduction to Spyder IDE
Link	NOC:The Joy of Computing using Python	Lecture 22 - Printing statements in Python
Link	NOC:The Joy of Computing using Python	Lecture 23 - Understanding Variables in Python
Link	NOC:The Joy of Computing using Python	Lecture 24 - Executing a sequence of instructions in the Console
Link	NOC:The Joy of Computing using Python	Lecture 25 - Writing your First Program
Link	NOC:The Joy of Computing using Python	Lecture 26 - Taking inputs from the user
Link	NOC:The Joy of Computing using Python	Lecture 27 - Discount Calculation
Link	NOC:The Joy of Computing using Python	Lecture 28 - Motivation to if condition
Link	NOC:The Joy of Computing using Python	Lecture 29 - A reminder on how to deal with numbers
Link	NOC:The Joy of Computing using Python	Lecture 30 - Understanding if condition's working
Link	NOC:The Joy of Computing using Python	Lecture 31 - Realizing the importance of syntax and indentation
Link	NOC:The Joy of Computing using Python	Lecture 32 - Introductions to loops
Link	NOC:The Joy of Computing using Python	Lecture 33 - Loops: Sum of numbers
Link	NOC:The Joy of Computing using Python	Lecture 34 - Loops: Sum of numbers (Continued...)
Link	NOC:The Joy of Computing using Python	Lecture 35 - Loops: Multiplication Tables
Link	NOC:The Joy of Computing using Python	Lecture 36 - Introducction to While Loop
Link	NOC:The Joy of Computing using Python	Lecture 37 - Lists Part 1 : Introduction
Link	NOC:The Joy of Computing using Python	Lecture 38 - Lists Part 2 : Manipulation
Link	NOC:The Joy of Computing using Python	Lecture 39 - Lists Part 3 : Operations
Link	NOC:The Joy of Computing using Python	Lecture 40 - Lists Part 4 : Slicing
Link	NOC:The Joy of Computing using Python	Lecture 41 - Loops and Conditionals : Fizzbuzz 01
Link	NOC:The Joy of Computing using Python	Lecture 42 - Loops and Conditionals : Fizzbuzz 02
Link	NOC:The Joy of Computing using Python	Lecture 43 - Crowd Computing - Just estimate 01
Link	NOC:The Joy of Computing using Python	Lecture 44 - Crowd Computing - Just estimate 02
Link	NOC:The Joy of Computing using Python	Lecture 45 - Crowd Computing - Just estimate 03
Link	NOC:The Joy of Computing using Python	Lecture 46 - Crowd Computing - Just estimate 04
Link	NOC:The Joy of Computing using Python	Lecture 47 - Crowd Computing - Just estimate 05
Link	NOC:The Joy of Computing using Python	Lecture 48 - Crowd Computing - Just estimate 06
Link	NOC:The Joy of Computing using Python	Lecture 49 - Permutations - Jumbled Words 01
Link	NOC:The Joy of Computing using Python	Lecture 50 - Permutations - Jumbled Words 02
Link	NOC:The Joy of Computing using Python	Lecture 51 - Permutations - Jumbled Words 03
Link	NOC:The Joy of Computing using Python	Lecture 52 - Theory of Evolution 01
Link	NOC:The Joy of Computing using Python	Lecture 53 - Theory of Evolution 02
Link	NOC:The Joy of Computing using Python	Lecture 54 - Theory of Evolution 03
Link	NOC:The Joy of Computing using Python	Lecture 55 - Theory of Evolution 04
Link	NOC:The Joy of Computing using Python	Lecture 56 - Practice is the key
Link	NOC:The Joy of Computing using Python	Lecture 57 - Magic Square Hit and Trial 01
Link	NOC:The Joy of Computing using Python	Lecture 58 - Magic Square Hit and Trial 02
Link	NOC:The Joy of Computing using Python	Lecture 59 - Magic Square Hit and Trial 03
Link	NOC:The Joy of Computing using Python	Lecture 60 - Magic Square Hit and Trial 04
Link	NOC:The Joy of Computing using Python	Lecture 61 - Magic Square Hit and Trial 05
Link	NOC:The Joy of Computing using Python	Lecture 62 - Let's program and play
Link	NOC:The Joy of Computing using Python	Lecture 63 - Dobble Game - Spot the similarity 01
Link	NOC:The Joy of Computing using Python	Lecture 64 - Dobble Game - Spot the similarity 02
Link	NOC:The Joy of Computing using Python	Lecture 65 - Dobble Game - Spot the similarity 03
Link	NOC:The Joy of Computing using Python	Lecture 66 - Dobble Game - Spot the similarity 04
Link	NOC:The Joy of Computing using Python	Lecture 67 - What is your date of birth?
Link	NOC:The Joy of Computing using Python	Lecture 68 - Birthday Paradox - Find your twin 01
Link	NOC:The Joy of Computing using Python	Lecture 69 - Birthday Paradox - Find your twin 02
Link	NOC:The Joy of Computing using Python	Lecture 70 - Birthday Paradox - Find your twin 03
Link	NOC:The Joy of Computing using Python	Lecture 71 - Birthday Paradox - Find your twin 04
Link	NOC:The Joy of Computing using Python	Lecture 72 - Birthday Paradox - Find your twin 05
Link	NOC:The Joy of Computing using Python	Lecture 73 - What's your favourite movie?
Link	NOC:The Joy of Computing using Python	Lecture 74 - Guess the Movie Name 01
Link	NOC:The Joy of Computing using Python	Lecture 75 - Guess the Movie Name 02
Link	NOC:The Joy of Computing using Python	Lecture 76 - Guess the Movie Name 03
Link	NOC:The Joy of Computing using Python	Lecture 77 - Guess the Movie Name 04
Link	NOC:The Joy of Computing using Python	Lecture 78 - Guess the Movie Name 05
Link	NOC:The Joy of Computing using Python	Lecture 79 - Guess the Movie Name 06
Link	NOC:The Joy of Computing using Python	Lecture 80 - Dictionaries
Link	NOC:The Joy of Computing using Python	Lecture 81 - Speech to Text : No need to write 01
Link	NOC:The Joy of Computing using Python	Lecture 82 - Speech to Text : No need to write 02
Link	NOC:The Joy of Computing using Python	Lecture 83 - Speech to Text : No need to write 03
Link	NOC:The Joy of Computing using Python	Lecture 84 - Monte Hall : 3 doors and a twist 01
Link	NOC:The Joy of Computing using Python	Lecture 85 - Monte Hall : 3 doors and a twist 02
Link	NOC:The Joy of Computing using Python	Lecture 86 - Rock, Paper and Scissor : Cheating not allowed !! 01
Link	NOC:The Joy of Computing using Python	Lecture 87 - Rock, Paper and Scissor : Cheating not allowed !! 02
Link	NOC:The Joy of Computing using Python	Lecture 88 - Rock, Paper and Scissor : Cheating not allowed !! 03
Link	NOC:The Joy of Computing using Python	Lecture 89 - Rock, Paper and Scissor : Cheating not allowed !! 04
Link	NOC:The Joy of Computing using Python	Lecture 90 - Sorting and Searching : 20 questions game 01
Link	NOC:The Joy of Computing using Python	Lecture 91 - Sorting and Searching : 20 questions game 02
Link	NOC:The Joy of Computing using Python	Lecture 92 - Sorting and Searching : 20 questions game 03
Link	NOC:The Joy of Computing using Python	Lecture 93 - Sorting and Searching : 20 questions game 04
Link	NOC:The Joy of Computing using Python	Lecture 94 - Sorting and Searching : 20 questions game 05
Link	NOC:The Joy of Computing using Python	Lecture 95 - Sorting and Searching : 20 questions game 06
Link	NOC:The Joy of Computing using Python	Lecture 96 - Sorting and Searching : 20 questions game 07
Link	NOC:The Joy of Computing using Python	Lecture 97 - Sorting and Searching : 20 questions game 08
Link	NOC:The Joy of Computing using Python	Lecture 98 - Substitution Cipher -The science of secrecy
Link	NOC:The Joy of Computing using Python	Lecture 99 - Substitution Cipher -The science of secrecy 01
Link	NOC:The Joy of Computing using Python	Lecture 100 - Substitution Cipher -The science of secrecy 02
Link	NOC:The Joy of Computing using Python	Lecture 101 - Substitution Cipher -The science of secrecy 03
Link	NOC:The Joy of Computing using Python	Lecture 102 - Tic Tac Toe - Down the memory Lane
Link	NOC:The Joy of Computing using Python	Lecture 103 - Tic Tac Toe - Down the memory Lane 01
Link	NOC:The Joy of Computing using Python	Lecture 104 - Tic Tac Toe - Down the memory Lane 02
Link	NOC:The Joy of Computing using Python	Lecture 105 - Tic Tac Toe - Down the memory Lane 03
Link	NOC:The Joy of Computing using Python	Lecture 106 - Tic Tac Toe - Down the memory Lane 04
Link	NOC:The Joy of Computing using Python	Lecture 107 - Tic Tac Toe - Down the memory Lane 05
Link	NOC:The Joy of Computing using Python	Lecture 108 - Recursion
Link	NOC:The Joy of Computing using Python	Lecture 109 - Recursion 01
Link	NOC:The Joy of Computing using Python	Lecture 110 - Recursion 02
Link	NOC:The Joy of Computing using Python	Lecture 111 - Recursion 03
Link	NOC:The Joy of Computing using Python	Lecture 112 - Recursion 04
Link	NOC:The Joy of Computing using Python	Lecture 113 - Recursion 05
Link	NOC:The Joy of Computing using Python	Lecture 114 - Recursion 06
Link	NOC:The Joy of Computing using Python	Lecture 115 - Snakes and Ladders - Not on the Board
Link	NOC:The Joy of Computing using Python	Lecture 116 - Snakes and Ladders - Not on the Board - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 117 - Snakes and Ladders - Not on the Board - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 118 - Snakes and Ladders - Not on the Board - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 119 - Snakes and Ladders - Not on the Board - Part 04
Link	NOC:The Joy of Computing using Python	Lecture 120 - Snakes and Ladders - Not on the Board - Part 05
Link	NOC:The Joy of Computing using Python	Lecture 121 - Snakes and Ladders - Not on the Board - Part 06
Link	NOC:The Joy of Computing using Python	Lecture 122 - Spiral Traversing - Let's Animate
Link	NOC:The Joy of Computing using Python	Lecture 123 - Spiral Traversing - Let's Animate - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 124 - Spiral Traversing - Let's Animate - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 125 - Spiral Traversing - Let's Animate - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 126 - Spiral Traversing - Let's Animate - Part 04
Link	NOC:The Joy of Computing using Python	Lecture 127 - Spiral Traversing - Let's Animate - Part 05
Link	NOC:The Joy of Computing using Python	Lecture 128 - Spiral Traversing - Let's Animate - Part 06
Link	NOC:The Joy of Computing using Python	Lecture 129 - Spiral Traversing - Let's Animate - Part 07
Link	NOC:The Joy of Computing using Python	Lecture 130 - GPS - Track the route
Link	NOC:The Joy of Computing using Python	Lecture 131 - GPS - Track the route - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 132 - GPS - Track the route - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 133 - GPS - Track the route - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 134 - GPS - Track the route - Part 04
Link	NOC:The Joy of Computing using Python	Lecture 135 - Tuples- Python Data Structure
Link	NOC:The Joy of Computing using Python	Lecture 136 - Lottery Simulation - Profit or Loss
Link	NOC:The Joy of Computing using Python	Lecture 137 - Lottery Simulation - Profit or Loss - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 138 - Lottery Simulation - Profit or Loss - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 139 - Lottery Simulation - Profit or Loss - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 140 - Lottery Simulation - Profit or Loss - Part 04
Link	NOC:The Joy of Computing using Python	Lecture 141 - Lottery Simulation - Profit or Loss - Part 05
Link	NOC:The Joy of Computing using Python	Lecture 142 - Lottery Simulation - Profit or Loss - Part 06
Link	NOC:The Joy of Computing using Python	Lecture 143 - Image Processing - Enhance your images
Link	NOC:The Joy of Computing using Python	Lecture 144 - Image Processing - Enhance your images - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 145 - Image Processing - Enhance your images - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 146 - Image Processing - Enhance your images - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 147 - Anagrams
Link	NOC:The Joy of Computing using Python	Lecture 148 - Anagrams - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 149 - Anagrams - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 150 - Anagrams - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 151 - Anagrams - Part 04
Link	NOC:The Joy of Computing using Python	Lecture 152 - Facebook Sentiment Analysis
Link	NOC:The Joy of Computing using Python	Lecture 153 - Facebook Sentiment Analysis - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 154 - Facebook Sentiment Analysis - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 155 - Facebook Sentiment Analysis - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 156 - Facebook Sentiment Analysis - Part 04
Link	NOC:The Joy of Computing using Python	Lecture 157 - Natural Language Processing - Author Stylometry
Link	NOC:The Joy of Computing using Python	Lecture 158 - Natural Language Processing - Author Stylometry - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 159 - Natural Language Processing - Author Stylometry - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 160 - Natural Language Processing - Author Stylometry - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 161 - Natural Language Processing - Author Stylometry - Part 04
Link	NOC:The Joy of Computing using Python	Lecture 162 - Natural Language Processing - Author Stylometry - Part 05
Link	NOC:The Joy of Computing using Python	Lecture 163 - Natural Language Processing - Author Stylometry - Part 06
Link	NOC:The Joy of Computing using Python	Lecture 164 - Natural Language Processing - Author Stylometry - Part 07
Link	NOC:The Joy of Computing using Python	Lecture 165 - Natural Language Processing - Author Stylometry - Part 08
Link	NOC:The Joy of Computing using Python	Lecture 166 - Natural Language Processing - Author Stylometry - Part 09
Link	NOC:The Joy of Computing using Python	Lecture 167 - Natural Language Processing - Author Stylometry - Part 10
Link	NOC:The Joy of Computing using Python	Lecture 168 - Introduction to Networkx - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 169 - Introduction to Networkx - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 170 - Six Degrees of Separation : Meet your favourites
Link	NOC:The Joy of Computing using Python	Lecture 171 - Six Degrees of Separation : Meet your favourites - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 172 - Six Degrees of Separation : Meet your favourites - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 173 - Six Degrees of Separation : Meet your favourites - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 174 - Area Calculation - Don't Measure
Link	NOC:The Joy of Computing using Python	Lecture 175 - Area Calculation - Don't Measure - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 176 - Area Calculation - Don't Measure - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 177 - Area Calculation - Don't Measure - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 178 - Area Calculation - Don't Measure - Part 04
Link	NOC:The Joy of Computing using Python	Lecture 179 - Area Calculation - Don't Measure - Part 05
Link	NOC:The Joy of Computing using Python	Lecture 180 - Area Calculation - Don't Measure - Part 06
Link	NOC:The Joy of Computing using Python	Lecture 181 - FLAMES - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 182 - FLAMES - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 183 - FLAMES - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 184 - FLAMES - Part 04
Link	NOC:The Joy of Computing using Python	Lecture 185 - FLAMES - Part 05
Link	NOC:The Joy of Computing using Python	Lecture 186 - FLAMES - Part 06
Link	NOC:The Joy of Computing using Python	Lecture 187 - Data Compression - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 188 - Data Compression - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 189 - Data Compression - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 190 - Data Compression - Part 04
Link	NOC:The Joy of Computing using Python	Lecture 191 - Data Compression - Part 05
Link	NOC:The Joy of Computing using Python	Lecture 192 - Browser Automation Watsapp using Python - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 193 - Browser Automation Watsapp using Python - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 194 - Browser Automation Watsapp using Python - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 195 - Browser Automation Watsapp using Python - Part 04
Link	NOC:The Joy of Computing using Python	Lecture 196 - Fun with Calendar - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 197 - Fun with Calendar - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 198 - Fun with Calendar - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 199 - Fun with Calendar - Part 04
Link	NOC:The Joy of Computing using Python	Lecture 200 - Fun with Calendar - Part 05
Link	NOC:The Joy of Computing using Python	Lecture 201 - Fun with Calendar - Part 06
Link	NOC:The Joy of Computing using Python	Lecture 202 - Fun with Calendar - Part 07
Link	NOC:The Joy of Computing using Python	Lecture 203 - Fun with Calendar - Part 08
Link	NOC:The Joy of Computing using Python	Lecture 204 - Fun with Calendar - Part 09
Link	NOC:The Joy of Computing using Python	Lecture 205 - Fun with Calendar - Part 10
Link	NOC:The Joy of Computing using Python	Lecture 206 - Fun with Calendar - Part 11
Link	NOC:The Joy of Computing using Python	Lecture 207 - Fun with Calendar - Part 12
Link	NOC:The Joy of Computing using Python	Lecture 208 - Page Rank - How does Google Work ? - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 209 - Page Rank - How does Google Work ? - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 210 - Page Rank - How does Google Work ? - Part 03
Link	NOC:The Joy of Computing using Python	Lecture 211 - Page Rank - How does Google Work ? - Part 04
Link	NOC:The Joy of Computing using Python	Lecture 212 - Page Rank - How does Google Work ? - Part 05
Link	NOC:The Joy of Computing using Python	Lecture 213 - Page Rank - How does Google Work ? - Part 06
Link	NOC:The Joy of Computing using Python	Lecture 214 - Page Rank - How does Google Work ? - Part 07
Link	NOC:The Joy of Computing using Python	Lecture 215 - Page Rank - How does Google Work ? - Part 08
Link	NOC:The Joy of Computing using Python	Lecture 216 - Page Rank - How does Google Work ? - Part 09
Link	NOC:The Joy of Computing using Python	Lecture 217 - Page Rank - How does Google Work ? - Part 10
Link	NOC:The Joy of Computing using Python	Lecture 218 - Page Rank - How does Google Work ? - Part 11
Link	NOC:The Joy of Computing using Python	Lecture 219 - Page Rank - How does Google Work ? - Part 12
Link	NOC:The Joy of Computing using Python	Lecture 220 - Page Rank - How does Google Work ? - Part 13
Link	NOC:The Joy of Computing using Python	Lecture 221 - Page Rank - How does Google Work ? - Part 14
Link	NOC:The Joy of Computing using Python	Lecture 222 - Page Rank - How does Google Work ? - Part 15
Link	NOC:The Joy of Computing using Python	Lecture 223 - Page Rank - How does Google Work ? - Part 16
Link	NOC:The Joy of Computing using Python	Lecture 224 - Collatz Conjecture - Part 01
Link	NOC:The Joy of Computing using Python	Lecture 225 - Collatz Conjecture - Part 02
Link	NOC:The Joy of Computing using Python	Lecture 226 - JOC Conclusion
Link	NOC:Discrete Mathematics	Lecture 1 - Motivation for Counting
Link	NOC:Discrete Mathematics	Lecture 2 - Paper Folding Example
Link	NOC:Discrete Mathematics	Lecture 3 - Rubik's Cube Example
Link	NOC:Discrete Mathematics	Lecture 4 - Factorial Example
Link	NOC:Discrete Mathematics	Lecture 5 - Counting in Computer Science
Link	NOC:Discrete Mathematics	Lecture 6 - Motivation for Catalan numbers
Link	NOC:Discrete Mathematics	Lecture 7 - Rule of Sum and Rule of Product
Link	NOC:Discrete Mathematics	Lecture 8 - Problems on Rule of Sum and Rule of Product
Link	NOC:Discrete Mathematics	Lecture 9 - Factorial Explained
Link	NOC:Discrete Mathematics	Lecture 10 - Proof of n! - Part 1
Link	NOC:Discrete Mathematics	Lecture 11 - Proof of n! - Part 2
Link	NOC:Discrete Mathematics	Lecture 12 - Astronomical Numbers
Link	NOC:Discrete Mathematics	Lecture 13 - Permutations - Part 1
Link	NOC:Discrete Mathematics	Lecture 14 - Permutations - Part 2
Link	NOC:Discrete Mathematics	Lecture 15 - Permutations - Part 3
Link	NOC:Discrete Mathematics	Lecture 16 - Permutations - Part 4
Link	NOC:Discrete Mathematics	Lecture 17 - Problems on Permutations
Link	NOC:Discrete Mathematics	Lecture 18 - Combinations - Part 1
Link	NOC:Discrete Mathematics	Lecture 19 - Combinations - Part 2
Link	NOC:Discrete Mathematics	Lecture 20 - Combinations - Part 3
Link	NOC:Discrete Mathematics	Lecture 21 - Combinations - Part 4
Link	NOC:Discrete Mathematics	Lecture 22 - Problems on Combinations
Link	NOC:Discrete Mathematics	Lecture 23 - Difference between Permuations and Combinations
Link	NOC:Discrete Mathematics	Lecture 24 - Combination with Repetition - Part 1
Link	NOC:Discrete Mathematics	Lecture 25 - Combination with Repetition - Part 2
Link	NOC:Discrete Mathematics	Lecture 26 - Combination with Repetition - Problems
Link	NOC:Discrete Mathematics	Lecture 27 - Binomial theorem
Link	NOC:Discrete Mathematics	Lecture 28 - Applications of Binomial theorem
Link	NOC:Discrete Mathematics	Lecture 29 - Properties of Binomial theorem
Link	NOC:Discrete Mathematics	Lecture 30 - Multinomial theorem
Link	NOC:Discrete Mathematics	Lecture 31 - Problems on Binomial theorem
Link	NOC:Discrete Mathematics	Lecture 32 - Pascal's Triangle
Link	NOC:Discrete Mathematics	Lecture 33 - Fun facts on Pascal's Triangle
Link	NOC:Discrete Mathematics	Lecture 34 - Catalan Numbers - Part 1
Link	NOC:Discrete Mathematics	Lecture 35 - Catalan Numbers - Part 2
Link	NOC:Discrete Mathematics	Lecture 36 - Catalan Numbers - Part 3
Link	NOC:Discrete Mathematics	Lecture 37 - Catalan Numbers - Part 4
Link	NOC:Discrete Mathematics	Lecture 38 - Examples of Catalan numbers
Link	NOC:Discrete Mathematics	Lecture 39 - Chapter Summary
Link	NOC:Discrete Mathematics	Lecture 40 - Introduction to Set Theory
Link	NOC:Discrete Mathematics	Lecture 41 - Example, definiton and notation
Link	NOC:Discrete Mathematics	Lecture 42 - Sets - Problems Part 1
Link	NOC:Discrete Mathematics	Lecture 43 - Subsets - Part 1
Link	NOC:Discrete Mathematics	Lecture 44 - Subsets - Part 2
Link	NOC:Discrete Mathematics	Lecture 45 - Subsets - Part 3
Link	NOC:Discrete Mathematics	Lecture 46 - Union and intersections of sets
Link	NOC:Discrete Mathematics	Lecture 47 - Union and intersections of sets - Part 1
Link	NOC:Discrete Mathematics	Lecture 48 - Union and intersections of sets - Part 2
Link	NOC:Discrete Mathematics	Lecture 49 - Union and intersections of sets - Part 3
Link	NOC:Discrete Mathematics	Lecture 50 - Cardinality of Union of two sets - Part 1
Link	NOC:Discrete Mathematics	Lecture 51 - Cardinality of Union of two sets - Part 2
Link	NOC:Discrete Mathematics	Lecture 52 - Cardinality of Union of three sets
Link	NOC:Discrete Mathematics	Lecture 53 - Power Set - Part 1
Link	NOC:Discrete Mathematics	Lecture 54 - Power set - Part 2
Link	NOC:Discrete Mathematics	Lecture 55 - Power set - Part 3
Link	NOC:Discrete Mathematics	Lecture 56 - Connection betwenn Binomial Theorem and Power Sets
Link	NOC:Discrete Mathematics	Lecture 57 - Power set - Problems
Link	NOC:Discrete Mathematics	Lecture 58 - Complement of a set
Link	NOC:Discrete Mathematics	Lecture 59 - De Morgan's Laws - Part 1
Link	NOC:Discrete Mathematics	Lecture 60 - De Morgan's Laws - Part 2
Link	NOC:Discrete Mathematics	Lecture 61 - A proof technique
Link	NOC:Discrete Mathematics	Lecture 62 - De Morgan's Laws - Part 3
Link	NOC:Discrete Mathematics	Lecture 63 - De Morgan's Laws - Part 4
Link	NOC:Discrete Mathematics	Lecture 64 - Set difference - Part 1
Link	NOC:Discrete Mathematics	Lecture 65 - Set difference - Part 2
Link	NOC:Discrete Mathematics	Lecture 66 - Symmetric difference
Link	NOC:Discrete Mathematics	Lecture 67 - History
Link	NOC:Discrete Mathematics	Lecture 68 - Summary
Link	NOC:Discrete Mathematics	Lecture 69 - Motivational example
Link	NOC:Discrete Mathematics	Lecture 70 - Introduction to Statements
Link	NOC:Discrete Mathematics	Lecture 71 - Examples and Non-examples of Statements
Link	NOC:Discrete Mathematics	Lecture 72 - Introduction to Negation
Link	NOC:Discrete Mathematics	Lecture 73 - Negation - Explanation
Link	NOC:Discrete Mathematics	Lecture 74 - Negation - Truthtable
Link	NOC:Discrete Mathematics	Lecture 75 - Examples for Negation
Link	NOC:Discrete Mathematics	Lecture 76 - Motivation for OR operator
Link	NOC:Discrete Mathematics	Lecture 77 - Introduction to OR operator
Link	NOC:Discrete Mathematics	Lecture 78 - Truthtable for OR operator
Link	NOC:Discrete Mathematics	Lecture 79 - OR operator for 3 Variables
Link	NOC:Discrete Mathematics	Lecture 80 - Truthtable for AND operator
Link	NOC:Discrete Mathematics	Lecture 81 - AND operator for 3 Variables
Link	NOC:Discrete Mathematics	Lecture 82 - Primitive and Compound statements - Part 1
Link	NOC:Discrete Mathematics	Lecture 83 - Primitive and Compound statements - Part 2
Link	NOC:Discrete Mathematics	Lecture 84 - Problems involoving NOT, OR and AND operators
Link	NOC:Discrete Mathematics	Lecture 85 - Introduction to implication
Link	NOC:Discrete Mathematics	Lecture 86 - Examples and Non-examples of Implication - Part 1
Link	NOC:Discrete Mathematics	Lecture 87 - Examples and Non-examples of Implication - Part 2
Link	NOC:Discrete Mathematics	Lecture 88 - Explanation of Implication
Link	NOC:Discrete Mathematics	Lecture 89 - Introduction to Double Implication
Link	NOC:Discrete Mathematics	Lecture 90 - Explanation of Double Implication
Link	NOC:Discrete Mathematics	Lecture 91 - Converse, Inverse and Contrapositive
Link	NOC:Discrete Mathematics	Lecture 92 - XOR operator - Part 1
Link	NOC:Discrete Mathematics	Lecture 93 - XOR operator - Part 2
Link	NOC:Discrete Mathematics	Lecture 94 - XOR operator - Part 3
Link	NOC:Discrete Mathematics	Lecture 95 - Problems
Link	NOC:Discrete Mathematics	Lecture 96 - Tautology, Contradiction - Part 1
Link	NOC:Discrete Mathematics	Lecture 97 - Tautology, Contradiction - Part 2
Link	NOC:Discrete Mathematics	Lecture 98 - Tautology, Contradiction - Part 3
Link	NOC:Discrete Mathematics	Lecture 99 - SAT Problem - Part 1
Link	NOC:Discrete Mathematics	Lecture 100 - SAT Problem - Part 2
Link	NOC:Discrete Mathematics	Lecture 101 - Logical Equivalence - Part 1
Link	NOC:Discrete Mathematics	Lecture 102 - Logical Equivalence - Part 2
Link	NOC:Discrete Mathematics	Lecture 103 - Logical Equivalence - Part 3
Link	NOC:Discrete Mathematics	Lecture 104 - Logical Equivalence - Part 4
Link	NOC:Discrete Mathematics	Lecture 105 - Motivation for laws of logic
Link	NOC:Discrete Mathematics	Lecture 106 - Double negation - Part 1
Link	NOC:Discrete Mathematics	Lecture 107 - Double negation - Part 2
Link	NOC:Discrete Mathematics	Lecture 108 - Laws of Logic
Link	NOC:Discrete Mathematics	Lecture 109 - De Morgan's Law - Part 1
Link	NOC:Discrete Mathematics	Lecture 110 - De Morgan's Law - Part 2
Link	NOC:Discrete Mathematics	Lecture 111 - Rules of Inferences - Part 1
Link	NOC:Discrete Mathematics	Lecture 112 - Rules of Inferences - Part 2
Link	NOC:Discrete Mathematics	Lecture 113 - Rules of Inferences - Part 3
Link	NOC:Discrete Mathematics	Lecture 114 - Rules of Inferences - Part 4
Link	NOC:Discrete Mathematics	Lecture 115 - Rules of Inferences - Part 5
Link	NOC:Discrete Mathematics	Lecture 116 - Rules of Inferences - Part 6
Link	NOC:Discrete Mathematics	Lecture 117 - Rules of Inferences - Part 7
Link	NOC:Discrete Mathematics	Lecture 118 - Conclusion
Link	NOC:Discrete Mathematics	Lecture 119 - Introduction to Relation
Link	NOC:Discrete Mathematics	Lecture 120 - Graphical Representation of a Relation
Link	NOC:Discrete Mathematics	Lecture 121 - Various sets
Link	NOC:Discrete Mathematics	Lecture 122 - Matrix Representation of a Relation
Link	NOC:Discrete Mathematics	Lecture 123 - Relation - An Example
Link	NOC:Discrete Mathematics	Lecture 124 - Cartesian Product
Link	NOC:Discrete Mathematics	Lecture 125 - Set Representation of a Relation
Link	NOC:Discrete Mathematics	Lecture 126 - Revisiting Representations of a Relation
Link	NOC:Discrete Mathematics	Lecture 127 - Examples of Relations
Link	NOC:Discrete Mathematics	Lecture 128 - Number of relations - Part 1
Link	NOC:Discrete Mathematics	Lecture 129 - Number of relations - Part 2
Link	NOC:Discrete Mathematics	Lecture 130 - Reflexive relation - Introduction
Link	NOC:Discrete Mathematics	Lecture 131 - Example of a Reflexive relation
Link	NOC:Discrete Mathematics	Lecture 132 - Reflexive relation - Matrix representation
Link	NOC:Discrete Mathematics	Lecture 133 - Number of Reflexive relations
Link	NOC:Discrete Mathematics	Lecture 134 - Symmetric Relation - Introduction
Link	NOC:Discrete Mathematics	Lecture 135 - Symmetric Relation - Matrix representation
Link	NOC:Discrete Mathematics	Lecture 136 - Symmetric Relation - Examples and non examples
Link	NOC:Discrete Mathematics	Lecture 137 - Parallel lines revisited
Link	NOC:Discrete Mathematics	Lecture 138 - Number of symmetric relations - Part 1
Link	NOC:Discrete Mathematics	Lecture 139 - Number of symmetric relations - Part 2
Link	NOC:Discrete Mathematics	Lecture 140 - Examples of Reflexive and Symmetric Relations
Link	NOC:Discrete Mathematics	Lecture 141 - Pattern
Link	NOC:Discrete Mathematics	Lecture 142 - Transitive relation - Examples and non examples
Link	NOC:Discrete Mathematics	Lecture 143 - Antisymmetric relation
Link	NOC:Discrete Mathematics	Lecture 144 - Examples of Transitive and Antisymmetric Relation
Link	NOC:Discrete Mathematics	Lecture 145 - Antisymmetric - Graphical representation
Link	NOC:Discrete Mathematics	Lecture 146 - Antisymmetric - Matrix representation
Link	NOC:Discrete Mathematics	Lecture 147 - Number of Antisymmetric relations
Link	NOC:Discrete Mathematics	Lecture 148 - Condition for relation to be reflexive
Link	NOC:Discrete Mathematics	Lecture 149 - Few notations
Link	NOC:Discrete Mathematics	Lecture 150 - Condition for relation to be reflexive
Link	NOC:Discrete Mathematics	Lecture 151 - Condition for relation to be reflexive
Link	NOC:Discrete Mathematics	Lecture 152 - Condition for relation to be symmetric
Link	NOC:Discrete Mathematics	Lecture 153 - Condition for relation to be symmetric
Link	NOC:Discrete Mathematics	Lecture 154 - Condition for relation to be antisymmetric
Link	NOC:Discrete Mathematics	Lecture 155 - Equivalence relation
Link	NOC:Discrete Mathematics	Lecture 156 - Equivalence relation - Example 4
Link	NOC:Discrete Mathematics	Lecture 157 - Partition - Part 1
Link	NOC:Discrete Mathematics	Lecture 158 - Partition - Part 2
Link	NOC:Discrete Mathematics	Lecture 159 - Partition - Part 3
Link	NOC:Discrete Mathematics	Lecture 160 - Partition - Part 4
Link	NOC:Discrete Mathematics	Lecture 161 - Partition - Part 5
Link	NOC:Discrete Mathematics	Lecture 162 - Partition - Part 6
Link	NOC:Discrete Mathematics	Lecture 163 - Motivational Example - 1
Link	NOC:Discrete Mathematics	Lecture 164 - Motivational Example - 2
Link	NOC:Discrete Mathematics	Lecture 165 - Commonality in examples
Link	NOC:Discrete Mathematics	Lecture 166 - Motivational Example - 3
Link	NOC:Discrete Mathematics	Lecture 167 - Example - 4 Explanation
Link	NOC:Discrete Mathematics	Lecture 168 - Introduction to functions
Link	NOC:Discrete Mathematics	Lecture 169 - Defintion of a function - Part 1
Link	NOC:Discrete Mathematics	Lecture 170 - Defintion of a function - Part 2
Link	NOC:Discrete Mathematics	Lecture 171 - Defintion of a function - Part 3
Link	NOC:Discrete Mathematics	Lecture 172 - Relations vs Functions - Part 1
Link	NOC:Discrete Mathematics	Lecture 173 - Relations vs Functions - Part 2
Link	NOC:Discrete Mathematics	Lecture 174 - Introduction to One-One Function
Link	NOC:Discrete Mathematics	Lecture 175 - One-One Function - Example 1
Link	NOC:Discrete Mathematics	Lecture 176 - One-One Function - Example 2
Link	NOC:Discrete Mathematics	Lecture 177 - One-One Function - Example 3
Link	NOC:Discrete Mathematics	Lecture 178 - Proving a Function is One-One
Link	NOC:Discrete Mathematics	Lecture 179 - Examples and Non- examples of One-One function
Link	NOC:Discrete Mathematics	Lecture 180 - Cardinality condition in One-One function - Part 1
Link	NOC:Discrete Mathematics	Lecture 181 - Cardinality condition in One-One function - Part 2
Link	NOC:Discrete Mathematics	Lecture 182 - Introduction to Onto Function - Part 1
Link	NOC:Discrete Mathematics	Lecture 183 - Introduction to Onto Function - Part 2
Link	NOC:Discrete Mathematics	Lecture 184 - Definition of Onto Function
Link	NOC:Discrete Mathematics	Lecture 185 - Examples of Onto Function
Link	NOC:Discrete Mathematics	Lecture 186 - Cardinality condition in Onto function - Part 1
Link	NOC:Discrete Mathematics	Lecture 187 - Cardinality condition in Onto function - Part 2
Link	NOC:Discrete Mathematics	Lecture 188 - Introduction to Bijection
Link	NOC:Discrete Mathematics	Lecture 189 - Examples of Bijection
Link	NOC:Discrete Mathematics	Lecture 190 - Cardinality condition in Bijection - Part 1
Link	NOC:Discrete Mathematics	Lecture 191 - Cardinality condition in Bijection - Part 2
Link	NOC:Discrete Mathematics	Lecture 192 - Counting number of functions
Link	NOC:Discrete Mathematics	Lecture 193 - Number of functions
Link	NOC:Discrete Mathematics	Lecture 194 - Number of One-One functions - Part 1
Link	NOC:Discrete Mathematics	Lecture 195 - Number of One-One functions - Part 2
Link	NOC:Discrete Mathematics	Lecture 196 - Number of One-One functions - Part 3
Link	NOC:Discrete Mathematics	Lecture 197 - Number of Onto functions
Link	NOC:Discrete Mathematics	Lecture 198 - Number of Bijections
Link	NOC:Discrete Mathematics	Lecture 199 - Counting number of functions.
Link	NOC:Discrete Mathematics	Lecture 200 - Motivation for Composition of functions - Part 1
Link	NOC:Discrete Mathematics	Lecture 201 - Motivation for Composition of functions - Part 2
Link	NOC:Discrete Mathematics	Lecture 202 - Definition of Composition of functions
Link	NOC:Discrete Mathematics	Lecture 203 - Why study Composition of functions
Link	NOC:Discrete Mathematics	Lecture 204 - Example of Composition of functions - Part 1
Link	NOC:Discrete Mathematics	Lecture 205 - Example of Composition of functions - Part 2
Link	NOC:Discrete Mathematics	Lecture 206 - Motivation for Inverse functions
Link	NOC:Discrete Mathematics	Lecture 207 - Inverse functions
Link	NOC:Discrete Mathematics	Lecture 208 - Examples of Inverse functions
Link	NOC:Discrete Mathematics	Lecture 209 - Application of inverse functions - Part 1
Link	NOC:Discrete Mathematics	Lecture 210 - Three stories
Link	NOC:Discrete Mathematics	Lecture 211 - Three stories - Connecting the dots
Link	NOC:Discrete Mathematics	Lecture 212 - Mathematical induction - An illustration
Link	NOC:Discrete Mathematics	Lecture 213 - Mathematical Induction - Its essence
Link	NOC:Discrete Mathematics	Lecture 214 - Mathematical Induction - The formal way
Link	NOC:Discrete Mathematics	Lecture 215 - MI - Sum of odd numbers
Link	NOC:Discrete Mathematics	Lecture 216 - MI - Sum of powers of 2
Link	NOC:Discrete Mathematics	Lecture 217 - MI - Inequality 1
Link	NOC:Discrete Mathematics	Lecture 218 - MI - Inequality 1 (solution)
Link	NOC:Discrete Mathematics	Lecture 219 - MI - To prove divisibility
Link	NOC:Discrete Mathematics	Lecture 220 - MI - To prove divisibility (solution)
Link	NOC:Discrete Mathematics	Lecture 221 - MI - Problem on satisfying inequalities
Link	NOC:Discrete Mathematics	Lecture 222 - MI - Problem on satisfying inequalities (solutions)
Link	NOC:Discrete Mathematics	Lecture 223 - MI - Inequality 2
Link	NOC:Discrete Mathematics	Lecture 224 - MI - Inequality 2 solution
Link	NOC:Discrete Mathematics	Lecture 225 - Mathematical Induction - Example 9
Link	NOC:Discrete Mathematics	Lecture 226 - Mathematical Induction - Example 10 solution
Link	NOC:Discrete Mathematics	Lecture 227 - Binomial Coeffecients - Proof by induction
Link	NOC:Discrete Mathematics	Lecture 228 - Checker board and Triomioes - A puzzle
Link	NOC:Discrete Mathematics	Lecture 229 - Checker board and triominoes - Solution
Link	NOC:Discrete Mathematics	Lecture 230 - Mathematical induction - An important note
Link	NOC:Discrete Mathematics	Lecture 231 - Mathematical Induction - A false proof
Link	NOC:Discrete Mathematics	Lecture 232 - A false proof - Solution
Link	NOC:Discrete Mathematics	Lecture 233 - Motivation for Pegionhole Principle
Link	NOC:Discrete Mathematics	Lecture 234 - Group of n people
Link	NOC:Discrete Mathematics	Lecture 235 - Set of n integgers
Link	NOC:Discrete Mathematics	Lecture 236 - 10 points on an equilateral triangle
Link	NOC:Discrete Mathematics	Lecture 237 - Pegionhole Principle - A result
Link	NOC:Discrete Mathematics	Lecture 238 - Consecutive integers
Link	NOC:Discrete Mathematics	Lecture 239 - Consecutive integers solution
Link	NOC:Discrete Mathematics	Lecture 240 - Matching initials
Link	NOC:Discrete Mathematics	Lecture 241 - Matching initials - Solution
Link	NOC:Discrete Mathematics	Lecture 242 - Numbers adding to 9
Link	NOC:Discrete Mathematics	Lecture 243 - Numbers adding to 9 - Solution
Link	NOC:Discrete Mathematics	Lecture 244 - Deck of cards
Link	NOC:Discrete Mathematics	Lecture 245 - Deck of cards - Solution
Link	NOC:Discrete Mathematics	Lecture 246 - Number of errors
Link	NOC:Discrete Mathematics	Lecture 247 - Number of errors - Solution
Link	NOC:Discrete Mathematics	Lecture 248 - Puzzle - Challenge for you
Link	NOC:Discrete Mathematics	Lecture 249 - Friendship - an interesting property
Link	NOC:Discrete Mathematics	Lecture 250 - Connectedness through Connecting people
Link	NOC:Discrete Mathematics	Lecture 251 - Traversing the bridges
Link	NOC:Discrete Mathematics	Lecture 252 - Three utilities problem
Link	NOC:Discrete Mathematics	Lecture 253 - Coloring the India map
Link	NOC:Discrete Mathematics	Lecture 254 - Defintion of a Graph
Link	NOC:Discrete Mathematics	Lecture 255 - Degree and degree sequence
Link	NOC:Discrete Mathematics	Lecture 256 - Relation between number of edges and degrees
Link	NOC:Discrete Mathematics	Lecture 257 - Relation between number of edges and degrees - Proof
Link	NOC:Discrete Mathematics	Lecture 258 - Hand shaking lemma - Corollary
Link	NOC:Discrete Mathematics	Lecture 259 - Problems based on Hand shaking lemma
Link	NOC:Discrete Mathematics	Lecture 260 - Havel Hakimi theorem - Part 1
Link	NOC:Discrete Mathematics	Lecture 261 - Havel Hakimi theorem - Part 2
Link	NOC:Discrete Mathematics	Lecture 262 - Havel Hakimi theorem - Part 3
Link	NOC:Discrete Mathematics	Lecture 263 - Havel Hakimi theorem - Part 4
Link	NOC:Discrete Mathematics	Lecture 264 - Havel Hakimi theorem - Part 5
Link	NOC:Discrete Mathematics	Lecture 265 - Regular graph and irregular graph
Link	NOC:Discrete Mathematics	Lecture 266 - Walk
Link	NOC:Discrete Mathematics	Lecture 267 - Trail
Link	NOC:Discrete Mathematics	Lecture 268 - Path and closed path
Link	NOC:Discrete Mathematics	Lecture 269 - Definitions revisited
Link	NOC:Discrete Mathematics	Lecture 270 - Examples of walk, trail and path
Link	NOC:Discrete Mathematics	Lecture 271 - Cycle and circuit
Link	NOC:Discrete Mathematics	Lecture 272 - Example of cycle and circuit
Link	NOC:Discrete Mathematics	Lecture 273 - Relation between walk and path
Link	NOC:Discrete Mathematics	Lecture 274 - Relation between walk and path - An induction proof
Link	NOC:Discrete Mathematics	Lecture 275 - Subgraph
Link	NOC:Discrete Mathematics	Lecture 276 - Spanning and induced subgraph
Link	NOC:Discrete Mathematics	Lecture 277 - Spanning and induced subgraph - A result
Link	NOC:Discrete Mathematics	Lecture 278 - Introduction to Tree
Link	NOC:Discrete Mathematics	Lecture 279 - Connected and Disconnected graphs
Link	NOC:Discrete Mathematics	Lecture 280 - Property of a cycle
Link	NOC:Discrete Mathematics	Lecture 281 - Edge condition for connectivity
Link	NOC:Discrete Mathematics	Lecture 282 - Connecting connectedness and path
Link	NOC:Discrete Mathematics	Lecture 283 - Connecting connectedness and path - An illustration
Link	NOC:Discrete Mathematics	Lecture 284 - Cut vertex
Link	NOC:Discrete Mathematics	Lecture 285 - Cut edge
Link	NOC:Discrete Mathematics	Lecture 286 - Illustration of cut vertices and cut edges
Link	NOC:Discrete Mathematics	Lecture 287 - NetworkX - Need of the hour
Link	NOC:Discrete Mathematics	Lecture 288 - Introduction to Python - Installation
Link	NOC:Discrete Mathematics	Lecture 289 - Introduction to Python - Basics
Link	NOC:Discrete Mathematics	Lecture 290 - Introduction to NetworkX
Link	NOC:Discrete Mathematics	Lecture 291 - Story so far - Using NetworkX
Link	NOC:Discrete Mathematics	Lecture 292 - Directed, weighted and multi graphs
Link	NOC:Discrete Mathematics	Lecture 293 - Illustration of Directed, weighted and multi graphs
Link	NOC:Discrete Mathematics	Lecture 294 - Graph representations - Introduction
Link	NOC:Discrete Mathematics	Lecture 295 - Adjacency matrix representation
Link	NOC:Discrete Mathematics	Lecture 296 - Incidence matrix representation
Link	NOC:Discrete Mathematics	Lecture 297 - Isomorphism - Introduction
Link	NOC:Discrete Mathematics	Lecture 298 - Isomorphic graphs - An illustration
Link	NOC:Discrete Mathematics	Lecture 299 - Isomorphic graphs - A challenge
Link	NOC:Discrete Mathematics	Lecture 300 - Non-isomorphic graphs
Link	NOC:Discrete Mathematics	Lecture 301 - Isomorphism - A question
Link	NOC:Discrete Mathematics	Lecture 302 - Complement of a Graph - Introduction
Link	NOC:Discrete Mathematics	Lecture 303 - Complement of a Graph - Illiustration
Link	NOC:Discrete Mathematics	Lecture 304 - Self complement
Link	NOC:Discrete Mathematics	Lecture 305 - Complement of a disconnected graph is connected
Link	NOC:Discrete Mathematics	Lecture 306 - Complement of a disconnected graph is connected - Solution
Link	NOC:Discrete Mathematics	Lecture 307 - Which is more? Connected graphs or disconnected graphs?
Link	NOC:Discrete Mathematics	Lecture 308 - Bipartite graphs.
Link	NOC:Discrete Mathematics	Lecture 309 - Bipartite graphs - A puzzle
Link	NOC:Discrete Mathematics	Lecture 310 - Bipartite graphs - Converse part of the puzzle
Link	NOC:Discrete Mathematics	Lecture 311 - Definition of Eulerian Graph
Link	NOC:Discrete Mathematics	Lecture 312 - Illustration of eulerian graph
Link	NOC:Discrete Mathematics	Lecture 313 - Non- example of Eulerian graph
Link	NOC:Discrete Mathematics	Lecture 314 - Litmus test for an Eulerian graph
Link	NOC:Discrete Mathematics	Lecture 315 - Why even degree?
Link	NOC:Discrete Mathematics	Lecture 316 - Proof for even degree implies graph is eulerian
Link	NOC:Discrete Mathematics	Lecture 317 - A condition for Eulerian trail
Link	NOC:Discrete Mathematics	Lecture 318 - Why the name Eulerian
Link	NOC:Discrete Mathematics	Lecture 319 - Can you traverse all location?
Link	NOC:Discrete Mathematics	Lecture 320 - Defintion of Hamiltonian graphs
Link	NOC:Discrete Mathematics	Lecture 321 - Examples of Hamiltonian graphs
Link	NOC:Discrete Mathematics	Lecture 322 - Hamiltonian graph - A result
Link	NOC:Discrete Mathematics	Lecture 323 - A result on connectedness
Link	NOC:Discrete Mathematics	Lecture 324 - A result on Path
Link	NOC:Discrete Mathematics	Lecture 325 - Dirac's Theorem
Link	NOC:Discrete Mathematics	Lecture 326 - Dirac's theorem - A note
Link	NOC:Discrete Mathematics	Lecture 327 - Ore's Theorem
Link	NOC:Discrete Mathematics	Lecture 328 - Dirac's Theorem v/s Ore's Theorem
Link	NOC:Discrete Mathematics	Lecture 329 - Eulerian and Hamiltonian Are they related
Link	NOC:Discrete Mathematics	Lecture 330 - Importance of Hamiltonian graphs in Computer science
Link	NOC:Discrete Mathematics	Lecture 331 - Constructing non intersecting roads
Link	NOC:Discrete Mathematics	Lecture 332 - Definition of a Planar graph
Link	NOC:Discrete Mathematics	Lecture 333 - Examples of Planar graphs
Link	NOC:Discrete Mathematics	Lecture 334 - V - E + R = 2
Link	NOC:Discrete Mathematics	Lecture 335 - Illustration of V - E + R =2
Link	NOC:Discrete Mathematics	Lecture 336 - V - E + R = 2; Use induction
Link	NOC:Discrete Mathematics	Lecture 337 - Proof of V - E + R = 2
Link	NOC:Discrete Mathematics	Lecture 338 - Famous non-planar graphs
Link	NOC:Discrete Mathematics	Lecture 339 - Litmus test for planarity
Link	NOC:Discrete Mathematics	Lecture 340 - Planar graphs - Inequality 1
Link	NOC:Discrete Mathematics	Lecture 341 - 3 Utilities problem - Revisited
Link	NOC:Discrete Mathematics	Lecture 342 - Complete graph on 5 vertices is non-planar - Proof
Link	NOC:Discrete Mathematics	Lecture 343 - Prisoners and cells
Link	NOC:Discrete Mathematics	Lecture 344 - Prisoners example and Proper coloring
Link	NOC:Discrete Mathematics	Lecture 345 - Chromatic number of a graph
Link	NOC:Discrete Mathematics	Lecture 346 - Examples on Proper coloring
Link	NOC:Discrete Mathematics	Lecture 347 - Recalling the India map problem
Link	NOC:Discrete Mathematics	Lecture 348 - Recalling the India map problem - Solution
Link	NOC:Discrete Mathematics	Lecture 349 - NetworkX - Digraphs
Link	NOC:Discrete Mathematics	Lecture 350 - NetworkX - Adjacency matrix
Link	NOC:Discrete Mathematics	Lecture 351 - NetworkX - Random graphs
Link	NOC:Discrete Mathematics	Lecture 352 - NetworkX - Subgarph
Link	NOC:Discrete Mathematics	Lecture 353 - NetworkX - Isomorphic graphs Part 1
Link	NOC:Discrete Mathematics	Lecture 354 - NetworkX - Isomorphic graphs Part 2
Link	NOC:Discrete Mathematics	Lecture 355 - NetworkX - Isomorphic graphs: A game to play
Link	NOC:Discrete Mathematics	Lecture 356 - NetworkX - Graph complement
Link	NOC:Discrete Mathematics	Lecture 357 - NetworkX - Eulerian graphs
Link	NOC:Discrete Mathematics	Lecture 358 - NetworkX - Bipaprtite graphs
Link	NOC:Discrete Mathematics	Lecture 359 - NetworkX - Coloring
Link	NOC:Discrete Mathematics	Lecture 360 - Counting in a creative way
Link	NOC:Discrete Mathematics	Lecture 361 - Example 1 - Fun with words
Link	NOC:Discrete Mathematics	Lecture 362 - Words and the polynomial
Link	NOC:Discrete Mathematics	Lecture 363 - Words and the polynomial - Explained
Link	NOC:Discrete Mathematics	Lecture 364 - Example 2 - Picking five balls
Link	NOC:Discrete Mathematics	Lecture 365 - Picking five balls - Solution
Link	NOC:Discrete Mathematics	Lecture 366 - Picking five balls - Another version
Link	NOC:Discrete Mathematics	Lecture 367 - Defintion of Generating function
Link	NOC:Discrete Mathematics	Lecture 368 - Generating function examples - Part 1
Link	NOC:Discrete Mathematics	Lecture 369 - Generating function examples - Part 2
Link	NOC:Discrete Mathematics	Lecture 370 - Generating function examples - Part 3
Link	NOC:Discrete Mathematics	Lecture 371 - Binomial expansion - A generating function
Link	NOC:Discrete Mathematics	Lecture 372 - Binomial expansion - Explained
Link	NOC:Discrete Mathematics	Lecture 373 - Picking 7 balls - The naive way
Link	NOC:Discrete Mathematics	Lecture 374 - Picking 7 balls - The creative way
Link	NOC:Discrete Mathematics	Lecture 375 - Generating functions - Problem 1
Link	NOC:Discrete Mathematics	Lecture 376 - Generating functions - Problem 2
Link	NOC:Discrete Mathematics	Lecture 377 - Generating functions - Problem 3
Link	NOC:Discrete Mathematics	Lecture 378 - Why Generating function?
Link	NOC:Discrete Mathematics	Lecture 379 - Introduction to Advanced Counting
Link	NOC:Discrete Mathematics	Lecture 380 - Example 1 : Dogs and Cats
Link	NOC:Discrete Mathematics	Lecture 381 - Inclusion-Exclusion Formula
Link	NOC:Discrete Mathematics	Lecture 382 - Proof of Inclusion - Exlusion formula
Link	NOC:Discrete Mathematics	Lecture 383 - Example 2 : Integer solutions of an equation
Link	NOC:Discrete Mathematics	Lecture 384 - Example 3 : Words not containing some strings
Link	NOC:Discrete Mathematics	Lecture 385 - Example 4 : Arranging 3 x's, 3 y's and 3 z's
Link	NOC:Discrete Mathematics	Lecture 386 - Example 5 : Non-multiples of 2 or 3
Link	NOC:Discrete Mathematics	Lecture 387 - Example 6 : Integers not divisible by 5, 7 or 11
Link	NOC:Discrete Mathematics	Lecture 388 - A tip in solving problems
Link	NOC:Discrete Mathematics	Lecture 389 - Example 7 : A dog nor a cat
Link	NOC:Discrete Mathematics	Lecture 390 - Example 8 : Brownies, Muffins and Cookies
Link	NOC:Discrete Mathematics	Lecture 391 - Example 10 : Integer solutions of an equation
Link	NOC:Discrete Mathematics	Lecture 392 - Example 11 : Seating Arrangement - Part 1
Link	NOC:Discrete Mathematics	Lecture 393 - Example 11 : Seating Arrangement - Part 2
Link	NOC:Discrete Mathematics	Lecture 394 - Example 12 : Integer solutions of an equation
Link	NOC:Discrete Mathematics	Lecture 395 - Number of Onto Functions.
Link	NOC:Discrete Mathematics	Lecture 396 - Formula for Number of Onto Functions
Link	NOC:Discrete Mathematics	Lecture 397 - Example 13 : Onto Functions
Link	NOC:Discrete Mathematics	Lecture 398 - Example 14 : No one in their own house
Link	NOC:Discrete Mathematics	Lecture 399 - Derangements
Link	NOC:Discrete Mathematics	Lecture 400 - Derangements of 4 numbers
Link	NOC:Discrete Mathematics	Lecture 401 - Example 15 : Bottles and caps
Link	NOC:Discrete Mathematics	Lecture 402 - Example 16 : Self grading
Link	NOC:Discrete Mathematics	Lecture 403 - Example 17 : Even integers and their places
Link	NOC:Discrete Mathematics	Lecture 404 - Example 18 : Finding total number of items
Link	NOC:Discrete Mathematics	Lecture 405 - Example 19 : Devising a secret code
Link	NOC:Discrete Mathematics	Lecture 406 - Placing rooks on the chessboard
Link	NOC:Discrete Mathematics	Lecture 407 - Rook Polynomial
Link	NOC:Discrete Mathematics	Lecture 408 - Rook Polynomial
Link	NOC:Discrete Mathematics	Lecture 409 - Motivation for recurrence relation
Link	NOC:Discrete Mathematics	Lecture 410 - Getting started with recurrence relations
Link	NOC:Discrete Mathematics	Lecture 411 - What is a recurrence relation?
Link	NOC:Discrete Mathematics	Lecture 412 - Compound Interest as a recurrence relation
Link	NOC:Discrete Mathematics	Lecture 413 - Examples of recurrence relations
Link	NOC:Discrete Mathematics	Lecture 414 - Example - Number of ways of climbing steps
Link	NOC:Discrete Mathematics	Lecture 415 - Number of ways of climbing steps: Recurrence relation
Link	NOC:Discrete Mathematics	Lecture 416 - Example - Rabbits on an island
Link	NOC:Discrete Mathematics	Lecture 417 - Example - n-bit string
Link	NOC:Discrete Mathematics	Lecture 418 - Example - n-bit string without consecutive zero
Link	NOC:Discrete Mathematics	Lecture 419 - Solving Linear Recurrence Relations - A theorem
Link	NOC:Discrete Mathematics	Lecture 420 - A note on the proof
Link	NOC:Discrete Mathematics	Lecture 421 - Soving recurrence relation - Example 1
Link	NOC:Discrete Mathematics	Lecture 422 - Soving recurrence relation - Example 2
Link	NOC:Discrete Mathematics	Lecture 423 - Fibonacci Sequence
Link	NOC:Discrete Mathematics	Lecture 424 - Introduction to Fibonacci sequence
Link	NOC:Discrete Mathematics	Lecture 425 - Solution of Fibbonacci sequence
Link	NOC:Discrete Mathematics	Lecture 426 - A basic introduction to 'complexity'
Link	NOC:Discrete Mathematics	Lecture 427 - Intuition for 'complexity'
Link	NOC:Discrete Mathematics	Lecture 428 - Visualizing complexity order as a graph
Link	NOC:Discrete Mathematics	Lecture 429 - Tower of Hanoi
Link	NOC:Discrete Mathematics	Lecture 430 - Reccurence relation of Tower of Hanoi
Link	NOC:Discrete Mathematics	Lecture 431 - Solution for the recurrence relation of Tower of Hanoi
Link	NOC:Discrete Mathematics	Lecture 432 - A searching technique
Link	NOC:Discrete Mathematics	Lecture 433 - Recurrence relation for Binary search
Link	NOC:Discrete Mathematics	Lecture 434 - Solution for the recurrence relation of Binary search
Link	NOC:Discrete Mathematics	Lecture 435 - Example: Door knocks example
Link	NOC:Discrete Mathematics	Lecture 436 - Example: Door knocks example solution
Link	NOC:Discrete Mathematics	Lecture 437 - Door knock example and Merge sort
Link	NOC:Discrete Mathematics	Lecture 438 - Introduction to Merge sort - 1
Link	NOC:Discrete Mathematics	Lecture 439 - Introduction to Merge sort - 2
Link	NOC:Discrete Mathematics	Lecture 440 - Intoduction to advanced topics
Link	NOC:Discrete Mathematics	Lecture 441 - Introduction to Chromatic polynomial
Link	NOC:Discrete Mathematics	Lecture 442 - Chromatic polynomial of complete graphs
Link	NOC:Discrete Mathematics	Lecture 443 - Chromatic polynomial of cycle on 4 vertices - Part 1
Link	NOC:Discrete Mathematics	Lecture 444 - Chromatic polynomial of cycle on 4 vertices - Part 2
Link	NOC:Discrete Mathematics	Lecture 445 - Correspondence between partition and generating functions
Link	NOC:Discrete Mathematics	Lecture 446 - Correspondence between partition and generating functions: In general
Link	NOC:Discrete Mathematics	Lecture 447 - Distinct partitions and odd partitions
Link	NOC:Discrete Mathematics	Lecture 448 - Distinct partitions and generating functions
Link	NOC:Discrete Mathematics	Lecture 449 - Odd partitions and generating functions
Link	NOC:Discrete Mathematics	Lecture 450 - Distinct partitions equals odd partitions: Observation
Link	NOC:Discrete Mathematics	Lecture 451 - Distinct partitions equals odd partitions: Proof
Link	NOC:Discrete Mathematics	Lecture 452 - Why 'partitions' to 'polynomial'?
Link	NOC:Discrete Mathematics	Lecture 453 - Example: Picking 4 letters from the word 'INDIAN'
Link	NOC:Discrete Mathematics	Lecture 454 - Motivation for exponential generating function
Link	NOC:Discrete Mathematics	Lecture 455 - Recurrrence relation: The theorem and its proof
Link	NOC:Discrete Mathematics	Lecture 456 - Introduction to Group Theory
Link	NOC:Discrete Mathematics	Lecture 457 - Uniqueness of the identity element
Link	NOC:Discrete Mathematics	Lecture 458 - Formal definition of a Group
Link	NOC:Discrete Mathematics	Lecture 459 - Groups: Examples and non-examples
Link	NOC:Discrete Mathematics	Lecture 460 - Groups: Special Examples - Part 1
Link	NOC:Discrete Mathematics	Lecture 461 - Groups: Special Examples - Part 2
Link	NOC:Discrete Mathematics	Lecture 462 - Subgroup: Defintion and examples
Link	NOC:Discrete Mathematics	Lecture 463 - Lagrange's theorem
Link	NOC:Discrete Mathematics	Lecture 464 - Summary
Link	NOC:Discrete Mathematics	Lecture 465 - Conclusion
Link	NOC:Deep Learning	Lecture 1 - Biological Neuron
Link	NOC:Deep Learning	Lecture 2 - From Spring to Winter of AI
Link	NOC:Deep Learning	Lecture 3 - The Deep Revival
Link	NOC:Deep Learning	Lecture 4 - From Cats to Convolutional Neural Networks
Link	NOC:Deep Learning	Lecture 5 - Faster, higher, stronger
Link	NOC:Deep Learning	Lecture 6 - The Curious Case of Sequences
Link	NOC:Deep Learning	Lecture 7 - Beating humans at their own games (literally)
Link	NOC:Deep Learning	Lecture 8 - The Madness (2013)
Link	NOC:Deep Learning	Lecture 9 - (Need for) Sanity
Link	NOC:Deep Learning	Lecture 10 - Motivation from Biological Neurons
Link	NOC:Deep Learning	Lecture 11 - McCulloch Pitts Neuron, Thresholding Logic
Link	NOC:Deep Learning	Lecture 12 - Perceptrons
Link	NOC:Deep Learning	Lecture 13 - Error and Error Surfaces
Link	NOC:Deep Learning	Lecture 14 - Perceptron Learning Algorithm
Link	NOC:Deep Learning	Lecture 15 - Proof of Convergence of Perceptron Learning Algorithm
Link	NOC:Deep Learning	Lecture 16 - Deep Learning (CS7015): Linearly Separable Boolean Functions
Link	NOC:Deep Learning	Lecture 17 - Deep Learning (CS7015): Representation Power of a Network of Perceptrons
Link	NOC:Deep Learning	Lecture 18 - Deep Learning (CS7015): Sigmoid Neuron
Link	NOC:Deep Learning	Lecture 19 - Deep Learning (CS7015): A typical Supervised Machine Learning Setup
Link	NOC:Deep Learning	Lecture 20 - Deep Learning (CS7015): Learning Parameters: (Infeasible) guess work
Link	NOC:Deep Learning	Lecture 21 - Deep Learning (CS7015): Learning Parameters: Gradient Descent
Link	NOC:Deep Learning	Lecture 22 - Deep Learning (CS7015): Representation Power of Multilayer Network of Sigmoid Neurons
Link	NOC:Deep Learning	Lecture 23 - Feedforward Neural Networks (a.k.a multilayered network of neurons)
Link	NOC:Deep Learning	Lecture 24 - Learning Paramters of Feedforward Neural Networks (Intuition)
Link	NOC:Deep Learning	Lecture 25 - Output functions and Loss functions
Link	NOC:Deep Learning	Lecture 26 - Backpropagation (Intuition)
Link	NOC:Deep Learning	Lecture 27 - Backpropagation: Computing Gradients w.r.t. the Output Units
Link	NOC:Deep Learning	Lecture 28 - Backpropagation: Computing Gradients w.r.t. Hidden Units
Link	NOC:Deep Learning	Lecture 29 - Backpropagation: Computing Gradients w.r.t. Parameters
Link	NOC:Deep Learning	Lecture 30 - Backpropagation: Pseudo code
Link	NOC:Deep Learning	Lecture 31 - Derivative of the activation function
Link	NOC:Deep Learning	Lecture 32 - Information content, Entropy and cross entropy
Link	NOC:Deep Learning	Lecture 33 - Recap: Learning Parameters: Guess Work, Gradient Descent
Link	NOC:Deep Learning	Lecture 34 - Contours Maps
Link	NOC:Deep Learning	Lecture 35 - Momentum based Gradient Descent
Link	NOC:Deep Learning	Lecture 36 - Nesterov Accelerated Gradient Descent
Link	NOC:Deep Learning	Lecture 37 - Stochastic And Mini-Batch Gradient Descent
Link	NOC:Deep Learning	Lecture 38 - Tips for Adjusting Learning Rate and Momentum
Link	NOC:Deep Learning	Lecture 39 - Line Search
Link	NOC:Deep Learning	Lecture 40 - Gradient Descent with Adaptive Learning Rate
Link	NOC:Deep Learning	Lecture 41 - Bias Correction in Adam
Link	NOC:Deep Learning	Lecture 42 - Eigenvalues and Eigenvectors
Link	NOC:Deep Learning	Lecture 43 - Linear Algebra : Basic Definitions
Link	NOC:Deep Learning	Lecture 44 - Eigenvalue Decompositon
Link	NOC:Deep Learning	Lecture 45 - Principal Component Analysis and its Interpretations
Link	NOC:Deep Learning	Lecture 46 - PCA: Interpretation 2
Link	NOC:Deep Learning	Lecture 47 - PCA: Interpretation 3
Link	NOC:Deep Learning	Lecture 48 - PCA: Interpretation 3 (Continued...)
Link	NOC:Deep Learning	Lecture 49 - PCA: Practical Example
Link	NOC:Deep Learning	Lecture 50 - Singular Value Decomposition
Link	NOC:Deep Learning	Lecture 51 - Introduction to Autoncoders
Link	NOC:Deep Learning	Lecture 52 - Link between PCA and Autoencoders
Link	NOC:Deep Learning	Lecture 53 - Regularization in autoencoders (Motivation)
Link	NOC:Deep Learning	Lecture 54 - Denoising Autoencoders
Link	NOC:Deep Learning	Lecture 55 - Sparse Autoencoders
Link	NOC:Deep Learning	Lecture 56 - Contractive Autoencoders
Link	NOC:Deep Learning	Lecture 57 - Bias and Variance
Link	NOC:Deep Learning	Lecture 58 - Train error vs Test error
Link	NOC:Deep Learning	Lecture 59 - Train error vs Test error (Recap)
Link	NOC:Deep Learning	Lecture 60 - True error and Model complexity
Link	NOC:Deep Learning	Lecture 61 - L2 regularization
Link	NOC:Deep Learning	Lecture 62 - Dataset augmentation
Link	NOC:Deep Learning	Lecture 63 - Parameter sharing and tying
Link	NOC:Deep Learning	Lecture 64 - Adding Noise to the inputs
Link	NOC:Deep Learning	Lecture 65 - Adding Noise to the outputs
Link	NOC:Deep Learning	Lecture 66 - Early stopping
Link	NOC:Deep Learning	Lecture 67 - Ensemble Methods
Link	NOC:Deep Learning	Lecture 68 - Dropout
Link	NOC:Deep Learning	Lecture 69 - A quick recap of training deep neural networks
Link	NOC:Deep Learning	Lecture 70 - Unsupervised pre-training
Link	NOC:Deep Learning	Lecture 71 - Better activation functions
Link	NOC:Deep Learning	Lecture 72 - Better initialization strategies
Link	NOC:Deep Learning	Lecture 73 - Batch Normalization
Link	NOC:Deep Learning	Lecture 74 - One-hot representations of words
Link	NOC:Deep Learning	Lecture 75 - Distributed Representations of words
Link	NOC:Deep Learning	Lecture 76 - SVD for learning word representations
Link	NOC:Deep Learning	Lecture 77 - SVD for learning word representations (Continued...)
Link	NOC:Deep Learning	Lecture 78 - Continuous bag of words model
Link	NOC:Deep Learning	Lecture 79 - Skip-gram model
Link	NOC:Deep Learning	Lecture 80 - Skip-gram model (Continued...)
Link	NOC:Deep Learning	Lecture 81 - Contrastive estimation
Link	NOC:Deep Learning	Lecture 82 - Hierarchical softmax
Link	NOC:Deep Learning	Lecture 83 - GloVe representations
Link	NOC:Deep Learning	Lecture 84 - Evaluating word representations
Link	NOC:Deep Learning	Lecture 85 - Relation between SVD and Word2Vec
Link	NOC:Deep Learning	Lecture 86 - The convolution operation
Link	NOC:Deep Learning	Lecture 87 - Relation between input size, output size and filter size
Link	NOC:Deep Learning	Lecture 88 - Convolutional Neural Networks
Link	NOC:Deep Learning	Lecture 89 - Convolutional Neural Networks (Continued...)
Link	NOC:Deep Learning	Lecture 90 - CNNs (success stories on ImageNet)
Link	NOC:Deep Learning	Lecture 91 - CNNs (success stories on ImageNet) (Continued...)
Link	NOC:Deep Learning	Lecture 92 - Image Classification continued (GoogLeNet and ResNet)
Link	NOC:Deep Learning	Lecture 93 - Visualizing patches which maximally activate a neuron
Link	NOC:Deep Learning	Lecture 94 - Visualizing filters of a CNN
Link	NOC:Deep Learning	Lecture 95 - Occlusion experiments
Link	NOC:Deep Learning	Lecture 96 - Finding influence of input pixels using backpropagation
Link	NOC:Deep Learning	Lecture 97 - Guided Backpropagation
Link	NOC:Deep Learning	Lecture 98 - Optimization over images
Link	NOC:Deep Learning	Lecture 99 - Create images from embeddings
Link	NOC:Deep Learning	Lecture 100 - Deep Dream
Link	NOC:Deep Learning	Lecture 101 - Deep Art
Link	NOC:Deep Learning	Lecture 102 - Fooling Deep Convolutional Neural Networks
Link	NOC:Deep Learning	Lecture 103 - Sequence Learning Problems
Link	NOC:Deep Learning	Lecture 104 - Recurrent Neural Networks
Link	NOC:Deep Learning	Lecture 105 - Backpropagation through time
Link	NOC:Deep Learning	Lecture 106 - The problem of Exploding and Vanishing Gradients
Link	NOC:Deep Learning	Lecture 107 - Some Gory Details
Link	NOC:Deep Learning	Lecture 108 - Selective Read, Selective Write, Selective Forget - The Whiteboard Analogy
Link	NOC:Deep Learning	Lecture 109 - Long Short Term Memory (LSTM) and Gated Recurrent Units (GRUs)
Link	NOC:Deep Learning	Lecture 110 - How LSTMs avoid the problem of vanishing gradients
Link	NOC:Deep Learning	Lecture 111 - How LSTMs avoid the problem of vanishing gradients (Continued...)
Link	NOC:Deep Learning	Lecture 112 - Introduction to Encoder Decoder Models
Link	NOC:Deep Learning	Lecture 113 - Applications of Encoder Decoder models
Link	NOC:Deep Learning	Lecture 114 - Attention Mechanism
Link	NOC:Deep Learning	Lecture 115 - Attention Mechanism (Continued...)
Link	NOC:Deep Learning	Lecture 116 - Attention over images
Link	NOC:Deep Learning	Lecture 117 - Hierarchical Attention
Link	NOC:Foundations to Computer Systems Design	Lecture 1 - Introduction to the Course
Link	NOC:Foundations to Computer Systems Design	Lecture 2 - CMOS Transistors and Gates
Link	NOC:Foundations to Computer Systems Design	Lecture 3 - Basic Gates
Link	NOC:Foundations to Computer Systems Design	Lecture 4 - Building Gates Using Simulator
Link	NOC:Foundations to Computer Systems Design	Lecture 5 - Hierarchical Design and Verification
Link	NOC:Foundations to Computer Systems Design	Lecture 6 - Building Blocks of a Digital Computer
Link	NOC:Foundations to Computer Systems Design	Lecture 7 - Binary Number Systems
Link	NOC:Foundations to Computer Systems Design	Lecture 8 - Signed Number Systems
Link	NOC:Foundations to Computer Systems Design	Lecture 9 - Twos Complement Number System
Link	NOC:Foundations to Computer Systems Design	Lecture 10 - Binary Adder Circuits
Link	NOC:Foundations to Computer Systems Design	Lecture 11 - Building the ALU of HACK
Link	NOC:Foundations to Computer Systems Design	Lecture 12 - HACK ALU Functionality
Link	NOC:Foundations to Computer Systems Design	Lecture 13 - Tips for Project P1
Link	NOC:Foundations to Computer Systems Design	Lecture 14 - Sequential Logic Design
Link	NOC:Foundations to Computer Systems Design	Lecture 15 - Latches and Flipflops
Link	NOC:Foundations to Computer Systems Design	Lecture 16 - The Memory Hierarchy
Link	NOC:Foundations to Computer Systems Design	Lecture 17 - Design of Program Counter
Link	NOC:Foundations to Computer Systems Design	Lecture 18 - Introduction to Computer Organization: The HACK Instruction Set Architecture (ISA)
Link	NOC:Foundations to Computer Systems Design	Lecture 19 - Memory Mapped I/O
Link	NOC:Foundations to Computer Systems Design	Lecture 20 - Tips for Projects P2 and P3
Link	NOC:Foundations to Computer Systems Design	Lecture 21 - Tips for Project 4
Link	NOC:Foundations to Computer Systems Design	Lecture 22 - Tips for Project 4
Link	NOC:Foundations to Computer Systems Design	Lecture 23 - Introduction to Computer Architecture
Link	NOC:Foundations to Computer Systems Design	Lecture 24 - The HACK Microarchitecture
Link	NOC:Foundations to Computer Systems Design	Lecture 25 - The HACK CPU - A Deep Dive - Part 1
Link	NOC:Foundations to Computer Systems Design	Lecture 26 - The HACK CPU - A Deep Dive - Part 2
Link	NOC:Foundations to Computer Systems Design	Lecture 27 - The Data Memory
Link	NOC:Foundations to Computer Systems Design	Lecture 28 - The HACK Computer
Link	NOC:Foundations to Computer Systems Design	Lecture 29 - The Assembler Construction
Link	NOC:Foundations to Computer Systems Design	Lecture 30 - Understanding the Working of Assembler
Link	NOC:Foundations to Computer Systems Design	Lecture 31 - Assembler : Symbol Table Construction
Link	NOC:Foundations to Computer Systems Design	Lecture 32 - Assembler : Pass 1
Link	NOC:Foundations to Computer Systems Design	Lecture 33 - Assembler : Pass 2
Link	NOC:Foundations to Computer Systems Design	Lecture 34 - Project 6 : Demonstration
Link	NOC:Foundations to Computer Systems Design	Lecture 35 - Virtual Machines - What and Why?
Link	NOC:Foundations to Computer Systems Design	Lecture 36 - The VM Instruction Set Architecture
Link	NOC:Foundations to Computer Systems Design	Lecture 37 - The execution of a VM Program
Link	NOC:Foundations to Computer Systems Design	Lecture 38 - How powerful is the VM?
Link	NOC:Foundations to Computer Systems Design	Lecture 39 - Project 7 : VM ISA to HACK Mnemonic Translation
Link	NOC:Foundations to Computer Systems Design	Lecture 40 - Project 7 : Demo
Link	NOC:Foundations to Computer Systems Design	Lecture 41 - Deep Understanding of VM ISA using VM Emulator
Link	NOC:Foundations to Computer Systems Design	Lecture 42 - Virtual Machine II - Program flow commands and Introduction to Function Calls
Link	NOC:Foundations to Computer Systems Design	Lecture 43 - Implementation of Function Call
Link	NOC:Foundations to Computer Systems Design	Lecture 44 - Working of the Virtual Machine
Link	NOC:Foundations to Computer Systems Design	Lecture 45 - Project 8 : Translation of Program Flow and Function Call to HACK Mnemonic
Link	NOC:Foundations to Computer Systems Design	Lecture 46 - Handling Static Variables
Link	NOC:Foundations to Computer Systems Design	Lecture 47 - Project 8 : Implementation tips in a Nut Shell
Link	NOC:Foundations to Computer Systems Design	Lecture 48 - Introduction to The JACK Programming Language
Link	NOC:Foundations to Computer Systems Design	Lecture 49 - Project 9 : Basic Steps
Link	NOC:Foundations to Computer Systems Design	Lecture 50 - Understanding Syntax of JACK using Examples
Link	NOC:Foundations to Computer Systems Design	Lecture 51 - Project 9 : More Examples
Link	NOC:Foundations to Computer Systems Design	Lecture 52 - The JACK Syntax - Language Specification
Link	NOC:Foundations to Computer Systems Design	Lecture 53 - Application Development using JACK
Link	NOC:Foundations to Computer Systems Design	Lecture 54 - JACK Compiler: Lexical Analysis - Tokenization
Link	NOC:Foundations to Computer Systems Design	Lecture 55 - Project 10 : Compiler for JACK - Part-1 Demo
Link	NOC:Foundations to Computer Systems Design	Lecture 56 - The JACK Grammar
Link	NOC:Foundations to Computer Systems Design	Lecture 57 - Compiler for JACK: Parsing the JACK Program
Link	NOC:Foundations to Computer Systems Design	Lecture 58 - The Token Analyzer
Link	NOC:Foundations to Computer Systems Design	Lecture 59 - Testing the Correctness
Link	NOC:Foundations to Computer Systems Design	Lecture 60 - The Jack Compiler - Back-end Introduction
Link	NOC:Foundations to Computer Systems Design	Lecture 61 - The Jack Compiler - Handling Variables
Link	NOC:Foundations to Computer Systems Design	Lecture 62 - The Jack Compiler - Handling Expressions
Link	NOC:Foundations to Computer Systems Design	Lecture 63 - The Jack Compiler - Handling Flow of Control
Link	NOC:Foundations to Computer Systems Design	Lecture 64 - The Jack Compiler - Handling Objects
Link	NOC:Foundations to Computer Systems Design	Lecture 65 - The Jack Compiler - Handling Arrays
Link	NOC:Foundations to Computer Systems Design	Lecture 66 - The Jack Compiler Backend: An XML guided approach
Link	NOC:Foundations to Computer Systems Design	Lecture 67 - The Jack Compiler Backend: Populating the Class and Subroutine Symbol tables.
Link	NOC:Foundations to Computer Systems Design	Lecture 68 - The Jack Compiler Backend: Code Generation - 1
Link	NOC:Foundations to Computer Systems Design	Lecture 69 - The Jack Compiler Backend: Code Generation - 2
Link	NOC:Foundations to Computer Systems Design	Lecture 70 - The Jack Compiler Backend: Code Generation - 3
Link	NOC:Foundations to Computer Systems Design	Lecture 71 - The Jack Compiler Backend: Code Generation - 4
Link	NOC:Foundations to Computer Systems Design	Lecture 72 - Jack Compiler: Code Generation - 5
Link	NOC:Foundations to Computer Systems Design	Lecture 73 - Jack Compiler: Code Generation - 6
Link	NOC:Foundations to Computer Systems Design	Lecture 74 - Jack Compiler: Code Generation - 7
Link	NOC:Foundations to Computer Systems Design	Lecture 75 - Understand the Operating System - Compiler Interactions
Link	NOC:Foundations to Computer Systems Design	Lecture 76 - Project 12 - One sample journey from Jack to Hack
Link	NOC:Foundations to Computer Systems Design	Lecture 77 - Concluding Remarks
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 1 - Introduction to the Course History of Artificial Intelligence
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 2 - Overview of Machine Learning
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 3 - Why Linear Algebra ? Scalars, Vectors, Tensors
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 4 - Basic Operations
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 5 - Norms
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 6 - Linear Combinations Span Linear Independence
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 7 - Matrix Operations Special Matrices Matrix Decompositions
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 8 - Introduction to Probability Theory Discrete and Continuous Random Variables
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 9 - Conditional, Joint, Marginal Probabilities Sum Rule and Product Rule Bayes' Theorem
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 10 - Bayes' Theorem - Simple Examples
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 11 - Independence Conditional Independence Chain Rule Of Probability
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 12 - Expectation
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 13 - Variance Covariance
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 14 - Some Relations for Expectation and Covariance (Slightly Advanced)
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 15 - Machine Representation of Numbers, Overflow, Underflow, Condition Number
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 16 - Derivatives,Gradient,Hessian,Jacobian,Taylor Series
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 17 - Matrix Calculus (Slightly Advanced)
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 18 - Optimization 1 Unconstrained Optimization
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 19 - Introduction to Constrained Optimization
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 20 - Introduction to Numerical Optimization Gradient Descent - 1
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 21 - Gradient Descent 2 Proof of Steepest Descent Numerical Gradient Calculation Stopping Criteria
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 22 - Introduction to Packages
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 23 - The Learning Paradigm
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 24 - A Linear Regression Example
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 25 - Linear Regression Least Squares Gradient Descent
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 26 - Coding Linear Regression
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 27 - Generalized Function for Linear Regression
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 28 - Goodness of Fit
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 29 - Bias-Variance Trade Off
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 30 - Gradient Descent Algorithms
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 31 - Introduction to Week 5 (Deep Learning)
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 32 - Logistic Regression
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 33 - Binary Entropy cost function
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 34 - OR Gate Via Classification
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 35 - NOR, AND, NAND Gates
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 36 - XOR Gate
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 37 - Differentiating the sigmoid
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 38 - Gradient of logistic regression
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 39 - Code for Logistic Regression
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 40 - Multinomial Classification - Introduction
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 41 - Multinomial Classification - One Hot Vector
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 42 - Multinomial Classification - Softmax
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 43 - Schematic of multinomial logistic regression
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 44 - Biological neuron
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 45 - Structure of an Artificial Neuron
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 46 - Feedforward Neural Network
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 47 - Introduction to back prop
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 48 - Summary of Week 05
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 49 - Introduction to Convolution Neural Networks (CNN)
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 50 - Types of convolution
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 51 - CNN Architecture Part 1 (LeNet and Alex Net)
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 52 - CNN Architecture Part 2 (VGG Net)
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 53 - CNN Architecture Part 3 (GoogleNet)
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 54 - CNN Architecture Part 4 (ResNet)
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 55 - CNN Architecture Part 5 (DenseNet)
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 56 - Train Network for Image Classification
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 57 - Semantic Segmentation
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 58 - Hyperparameter optimization
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 59 - Transfer Learning
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 60 - Segmentation of Brain Tumors from MRI using Deep Learning
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 61 - Activation Functions
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 62 - Learning Rate decay, Weight initialization
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 63 - Data Normalization
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 64 - Batch Norm
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 65 - Introduction to RNNs
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 66 - Example - Sequence Classification
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 67 - Training RNNs - Loss and BPTT
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 68 - Vanishing Gradients and TBPTT
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 69 - RNN Architectures
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 70 - LSTM
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 71 - Why LSTM Works
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 72 - Deep RNNs and Bi- RNNs
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 73 - Summary of RNNs
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 74 - Introduction.
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 75 - Knn
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 76 - Binary decision trees
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 77 - Binary regression trees
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 78 - Bagging
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 79 - Random Forest
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 80 - Boosting
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 81 - Gradient boosting
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 82 - Unsupervised learning and Kmeans
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 83 - Agglomerative clustering
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 84 - Probability Distributions- Gaussian, Bernoulli
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 85 - Covariance Matrix of Gaussian Distribution
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 86 - Central Limit Theorem
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 87 - NaÃ¯ve Bayes
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 88 - MLE Intro
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 89 - PCA - Part 1
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 90 - PCA - Part 2
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 91 - Support Vector Machines
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 92 - MLE, MAP and Bayesian Regression
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 93 - Introduction to Generative model
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 94 - Generative Adversarial Networks (GAN)
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 95 - Variational Auto-encoders (VAE)
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 96 - Applications: Cardiac MRI - Segmentation and Diagnosis
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 97 - Applications: Cardiac MRI Analysis - Tensorflow code walkthrough
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 98 - Introduction to Week 12
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 99 - Application 1 description - Fin Heat Transfer
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 100 - Application 1 solution
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 101 - Application 2 description - Computational Fluid Dynamics
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 102 - Application 2 solution
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 103 - Application 3 description - Topology Optimization
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 104 - Application 3 solution
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 105 - Application 4 Solution of PDE/ODE using Neural Networks
Link	NOC:Machine Learning for Engineering and Science Applications	Lecture 106 - Summary and road ahead
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 1 - Introduction
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 2 - Program Binaries
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 3 - Buffer Overflows in the Stack
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 4 - Buffer Overflows
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 5 - Gdb - Demo
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 6 - Skip instruction - Demo
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 7 - Buffer Overflow - Demo
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 8 - Buffer Overflow (create a shell) - Demo
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 9 - Preventing buffer overflows with canaries and W^X
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 10 - Return-to-libc attack
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 11 - ROP Attacks
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 12 - Demonstration of Canaries, W^X, and ASLR to prevent Buffer Overflow Attacks
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 13 - Demonstration of a Return-to-Libc Attack
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 14 - Demonstration of a Return Oriented Programming (ROP) Attack
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 15 - ASLR - Part 1
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 16 - ASLR - Part 2
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 17 - Buffer overreads
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 18 - Demonstration of Load Time Relocation
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 19 - Demonstration of Position Independent Code
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 20 - PLT Demonstration
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 21 - Format string vulnerabilities
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 22 - Integer Vulnerabilities
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 23 - Heap
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 24 - Heap exploits
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 25 - Demo of Integer Vulnerabilites - I
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 26 - Demo of Integer Vulnerabilites - II
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 27 - Demo of Format String Vulnerabilities
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 28 - Access Control
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 29 - Access control in linux
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 30 - Mandatory access Control
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 31 - Confinement in Applications
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 32 - Software fault isolation
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 33 - Trusted Execution Environments
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 34 - ARM Trustzone
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 35 - SGX - Part 1
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 36 - SGX - Part 2
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 37 - PUF - Part 1
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 38 - PUF - Part 2
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 39 - PUF - Part 3
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 40 - Covert Channels
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 41 - Flush+Reload Attacks
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 42 - Prime+Probe
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 43 - Meltdown
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 44 - Spectre Variant - 1
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 45 - Spectre variant - 2
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 46 - rowhammer
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 47 - Heap demo - 1
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 48 - Heap demo - 2
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 49 - Heap demo - 3
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 50 - PowerAnalysisAttacks
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 51 - Hardware Trojans
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 52 - FANCI : Identification of Stealthy Malicious Logic
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 53 - Detecting Hardware Trojans in ICs
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 54 - Protecting against Hardware Trojans
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 55 - Side Channel Analysis
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 56 - Fault Attacks on AES
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 57 - Demo: Cache timing attack on T-table implementation of AES
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 58 - Demo: Cache-timing based Covert Channel - Part 1
Link	NOC:Information Security 5 - Secure Systems Engineering	Lecture 59 - Demo: Cache-timing based Covert Channel - Part 2
Link	NOC:Multimodal Interaction	Lecture 1 - Introduction
Link	NOC:Multimodal Interaction	Lecture 2 - Medium vs. Modality
Link	NOC:Multimodal Interaction	Lecture 3 - Multimedia and Multimodality
Link	NOC:Multimodal Interaction	Lecture 4 - Modality Relations
Link	NOC:Multimodal Interaction	Lecture 5 - Characteristics of Multimodal Systems
Link	NOC:Multimodal Interaction	Lecture 6 - Introduction
Link	NOC:Multimodal Interaction	Lecture 7 - Speech Production
Link	NOC:Multimodal Interaction	Lecture 8 - Hearing - Ear
Link	NOC:Multimodal Interaction	Lecture 9 - Hearing - Perception
Link	NOC:Multimodal Interaction	Lecture 10 - Introduction
Link	NOC:Multimodal Interaction	Lecture 11 - The Human Eye
Link	NOC:Multimodal Interaction	Lecture 12 - Gestlat Perception
Link	NOC:Multimodal Interaction	Lecture 13 - Resolution and Sensitivity
Link	NOC:Multimodal Interaction	Lecture 14 - Depth Perception
Link	NOC:Multimodal Interaction	Lecture 15 - Reading
Link	NOC:Multimodal Interaction	Lecture 16 - Introduction
Link	NOC:Multimodal Interaction	Lecture 17 - Haptics
Link	NOC:Multimodal Interaction	Lecture 18 - Smell
Link	NOC:Multimodal Interaction	Lecture 19 - Taste
Link	NOC:Multimodal Interaction	Lecture 20 - Memory
Link	NOC:Multimodal Interaction	Lecture 21 - Motorsystem
Link	NOC:Multimodal Interaction	Lecture 22 - Introduction
Link	NOC:Multimodal Interaction	Lecture 23 - Processing Multiple Signals
Link	NOC:Multimodal Interaction	Lecture 24 - Multimodal Dual-Tasks
Link	NOC:Multimodal Interaction	Lecture 25 - Effects of Discongurent Signals
Link	NOC:Multimodal Interaction	Lecture 26 - Relevance
Link	NOC:Multimodal Interaction	Lecture 27 - Introduction 1
Link	NOC:Multimodal Interaction	Lecture 28 - Introduction 2
Link	NOC:Multimodal Interaction	Lecture 29 - Gesture to Space
Link	NOC:Multimodal Interaction	Lecture 30 - Turn Taking
Link	NOC:Multimodal Interaction	Lecture 31 - Conclusion
Link	NOC:Multimodal Interaction	Lecture 32 - Introduction
Link	NOC:Multimodal Interaction	Lecture 33 - Overview
Link	NOC:Multimodal Interaction	Lecture 34 - Automatic Speech Recognition
Link	NOC:Multimodal Interaction	Lecture 35 - Emotion Recognition
Link	NOC:Multimodal Interaction	Lecture 36 - Text Recognition
Link	NOC:Multimodal Interaction	Lecture 37 - Introduction1
Link	NOC:Multimodal Interaction	Lecture 38 - Icons
Link	NOC:Multimodal Interaction	Lecture 39 - Text Generation
Link	NOC:Multimodal Interaction	Lecture 40 - Text to Speech
Link	NOC:Multimodal Interaction	Lecture 41 - Speech Generation
Link	NOC:Multimodal Interaction	Lecture 42 - Introduction .
Link	NOC:Multimodal Interaction	Lecture 43 - Multimodal Interactive Systems Development
Link	NOC:Multimodal Interaction	Lecture 44 - Introduction . .
Link	NOC:Multimodal Interaction	Lecture 45 - Virtual Reality
Link	NOC:Multimodal Interaction	Lecture 46 - Introduction to Audio for Virtual Reality
Link	NOC:Multimodal Interaction	Lecture 47 - Spatial Hearing
Link	NOC:Multimodal Interaction	Lecture 48 - Dummy Heads
Link	NOC:Multimodal Interaction	Lecture 49 - Individuality of HRTFs
Link	NOC:Multimodal Interaction	Lecture 50 - Sterophony
Link	NOC:Multimodal Interaction	Lecture 51 - Crosstalk Cancelation
Link	NOC:Multimodal Interaction	Lecture 52 - Ambisonics
Link	NOC:Multimodal Interaction	Lecture 53 - Sound Field Synthesis
Link	NOC:Multimodal Interaction	Lecture 54 - Challenges with Projection-based Systems
Link	NOC:Multimodal Interaction	Lecture 55 - Capturing of Sound Scenes
Link	NOC:Multimodal Interaction	Lecture 56 - Closing Remarks
Link	NOC:Deep Learning - Part 2	Lecture 1 - Recap of Probability Theory
Link	NOC:Deep Learning - Part 2	Lecture 2 - Why are we interested in Joint Distributions
Link	NOC:Deep Learning - Part 2	Lecture 3 - How do we represent a joint distribution
Link	NOC:Deep Learning - Part 2	Lecture 4 - Can we represent the joint distribution more compactly
Link	NOC:Deep Learning - Part 2	Lecture 5 - Can we use a graph to represent a joint distribution
Link	NOC:Deep Learning - Part 2	Lecture 6 - Different types of reasoning encoded in a Bayesian Network
Link	NOC:Deep Learning - Part 2	Lecture 7 - Independencies encoded by a Bayesian Network (Case 1: Node and it's parents)
Link	NOC:Deep Learning - Part 2	Lecture 8 - Independencies encoded by a Bayesian Network (Case 2: Node and it's non-parents)
Link	NOC:Deep Learning - Part 2	Lecture 9 - Independencies encoded by a Bayesian Network (Case 3: Node and it's descendants)
Link	NOC:Deep Learning - Part 2	Lecture 10 - Bayesian Networks : Formal Semantics
Link	NOC:Deep Learning - Part 2	Lecture 11 - I-Maps
Link	NOC:Deep Learning - Part 2	Lecture 12 - Markov Networks: Motivation
Link	NOC:Deep Learning - Part 2	Lecture 13 - Factors in Markov Network
Link	NOC:Deep Learning - Part 2	Lecture 14 - Local Independencies in a Markov Network
Link	NOC:Deep Learning - Part 2	Lecture 15 - Joint Distributions
Link	NOC:Deep Learning - Part 2	Lecture 16 - The concept of a latent variable
Link	NOC:Deep Learning - Part 2	Lecture 17 - Restricted Boltzmann Machines
Link	NOC:Deep Learning - Part 2	Lecture 18 - RBMs as Stochastic Neural Networks
Link	NOC:Deep Learning - Part 2	Lecture 19 - Unsupervised Learning with RBMs
Link	NOC:Deep Learning - Part 2	Lecture 20 - Computing the gradient of the log likelihood
Link	NOC:Deep Learning - Part 2	Lecture 21 - Motivation for Sampling
Link	NOC:Deep Learning - Part 2	Lecture 22 - Motivation for Sampling - Part 2
Link	NOC:Deep Learning - Part 2	Lecture 23 - Markov Chains
Link	NOC:Deep Learning - Part 2	Lecture 24 - Why de we care about Markov Chains ?
Link	NOC:Deep Learning - Part 2	Lecture 25 - Setting up a Markov Chain for RBMs
Link	NOC:Deep Learning - Part 2	Lecture 26 - Training RBMs Using Gibbs Sampling
Link	NOC:Deep Learning - Part 2	Lecture 27 - Training RBMS Using Contrastive Divergence
Link	NOC:Deep Learning - Part 2	Lecture 28 - Revisiting Autoencoders
Link	NOC:Deep Learning - Part 2	Lecture 29 - Variational Autoencoders: The Neural Network Perspective
Link	NOC:Deep Learning - Part 2	Lecture 30 - Variational Autoencoders: The Graphical model perspective
Link	NOC:Deep Learning - Part 2	Lecture 31 - Neural Autoregressive Density Estimator
Link	NOC:Deep Learning - Part 2	Lecture 32 - Masked Autoencoder Density Estimator (MADE)
Link	NOC:Deep Learning - Part 2	Lecture 33 - Generative Adversarial Networks - The Intuition
Link	NOC:Deep Learning - Part 2	Lecture 34 - Generative Adversarial Networks - Architecture
Link	NOC:Deep Learning - Part 2	Lecture 35 - Generative Adversarial Networks - The Math Behind it
Link	NOC:Deep Learning - Part 2	Lecture 36 - Generative Adversarial Networks - Some Cool Stuff and Applications
Link	NOC:Deep Learning - Part 2	Lecture 37 - Bringing it all together (the deep generative summary)
Link	NOC:Machine Learning	Lecture 1 - Introduction to the Machine Learning Course
Link	NOC:Machine Learning	Lecture 2 - Foundation of Artificial Intelligence and Machine Learning
Link	NOC:Machine Learning	Lecture 3 - Intelligent Autonomous Systems and Artificial Intelligence
Link	NOC:Machine Learning	Lecture 4 - Applications of Machine Learning
Link	NOC:Machine Learning	Lecture 5 - Tutorial for week 1
Link	NOC:Machine Learning	Lecture 6 - Characterization of Learning Problems
Link	NOC:Machine Learning	Lecture 7 - Objects, Categories and Features
Link	NOC:Machine Learning	Lecture 8 - Feature related issues
Link	NOC:Machine Learning	Lecture 9 - Scenarios for Concept Learning
Link	NOC:Machine Learning	Lecture 10 - Tutorial for week 2
Link	NOC:Machine Learning	Lecture 11 - Forms of Representation
Link	NOC:Machine Learning	Lecture 12 - Decision Trees
Link	NOC:Machine Learning	Lecture 13 - Bayes (ian) Belief Networks
Link	NOC:Machine Learning	Lecture 14 - Artificial Neural Networks
Link	NOC:Machine Learning	Lecture 15 - Genetic algorithm
Link	NOC:Machine Learning	Lecture 16 - Logic Programming
Link	NOC:Machine Learning	Lecture 17 - Tutorial for week 3
Link	NOC:Machine Learning	Lecture 18 - Inductive Learning based on Symbolic Representations and Weak Theories
Link	NOC:Machine Learning	Lecture 19 - Generalization as Search - Part 1
Link	NOC:Machine Learning	Lecture 20 - Generalization as Search - Part 2
Link	NOC:Machine Learning	Lecture 21 - Decision Tree Learning Algorithms - Part 1
Link	NOC:Machine Learning	Lecture 22 - Decision Tree Learning Algorithms - Part 2
Link	NOC:Machine Learning	Lecture 23 - Instance Based Learning - Part 1
Link	NOC:Machine Learning	Lecture 24 - Instance Based Learning - Part 2
Link	NOC:Machine Learning	Lecture 25 - Cluster Analysis
Link	NOC:Machine Learning	Lecture 26 - Tutorial for week 4
Link	NOC:Machine Learning	Lecture 27 - Machine Learning enabled by Prior Theories
Link	NOC:Machine Learning	Lecture 28 - Explanation Based Learning
Link	NOC:Machine Learning	Lecture 29 - Inductive Logic Programming
Link	NOC:Machine Learning	Lecture 30 - Reinforcement Learning - Part 1 Introduction
Link	NOC:Machine Learning	Lecture 31 - Reinforcement Learning - Part 2 Learning Algorithms
Link	NOC:Machine Learning	Lecture 32 - Reinforcement Learning - Part 3 Q-Learning
Link	NOC:Machine Learning	Lecture 33 - Case - Based Reasoning
Link	NOC:Machine Learning	Lecture 34 - Tutorial for week 5
Link	NOC:Machine Learning	Lecture 35 - Fundamentals of Artificial Neural Networks - Part 1
Link	NOC:Machine Learning	Lecture 36 - Fundamentals of Artificial Neural Networks - Part 2
Link	NOC:Machine Learning	Lecture 37 - Perceptrons
Link	NOC:Machine Learning	Lecture 38 - Model of Neuron in an ANN
Link	NOC:Machine Learning	Lecture 39 - Learning in a Feed Forward Multiple Layer ANN - Backpropagation
Link	NOC:Machine Learning	Lecture 40 - Recurrent Neural Networks
Link	NOC:Machine Learning	Lecture 41 - Hebbian Learning and Associative Memory
Link	NOC:Machine Learning	Lecture 42 - Hopfield Networks and Boltzman Machines - Part 1
Link	NOC:Machine Learning	Lecture 43 - Hopfield Networks and Boltzman Machines - Part 2
Link	NOC:Machine Learning	Lecture 44 - Convolutional Neural Networks - Part 1
Link	NOC:Machine Learning	Lecture 45 - Convolutional Neural Networks - Part 2
Link	NOC:Machine Learning	Lecture 46 - DeepLearning
Link	NOC:Machine Learning	Lecture 47 - Tutorial for week 6
Link	NOC:Machine Learning	Lecture 48 - Tools and Resources
Link	NOC:Machine Learning	Lecture 49 - Interdisciplinary Inspiration
Link	NOC:Machine Learning	Lecture 50 - Preparation for Exam and Example of Applications
Link	NOC:C Programming and Assembly Language	Lecture 1
Link	NOC:C Programming and Assembly Language	Lecture 2
Link	NOC:C Programming and Assembly Language	Lecture 3
Link	NOC:C Programming and Assembly Language	Lecture 4
Link	NOC:C Programming and Assembly Language	Lecture 5
Link	NOC:C Programming and Assembly Language	Lecture 6
Link	NOC:C Programming and Assembly Language	Lecture 7
Link	NOC:C Programming and Assembly Language	Lecture 8
Link	NOC:C Programming and Assembly Language	Lecture 9
Link	NOC:C Programming and Assembly Language	Lecture 10
Link	NOC:C Programming and Assembly Language	Lecture 11
Link	NOC:C Programming and Assembly Language	Lecture 12
Link	NOC:C Programming and Assembly Language	Lecture 13
Link	NOC:C Programming and Assembly Language	Lecture 14
Link	NOC:C Programming and Assembly Language	Lecture 15
Link	NOC:C Programming and Assembly Language	Lecture 16
Link	NOC:C Programming and Assembly Language	Lecture 17
Link	NOC:C Programming and Assembly Language	Lecture 18
Link	NOC:C Programming and Assembly Language	Lecture 19
Link	NOC:C Programming and Assembly Language	Lecture 20
Link	NOC:C Programming and Assembly Language	Lecture 21
Link	NOC:C Programming and Assembly Language	Lecture 22
Link	NOC:Applied Natural Language Processing	Lecture 1 - Introduction
Link	NOC:Applied Natural Language Processing	Lecture 2 - Operations on a Corpus
Link	NOC:Applied Natural Language Processing	Lecture 3 - Probability and NLP
Link	NOC:Applied Natural Language Processing	Lecture 4 - Vector Space models
Link	NOC:Applied Natural Language Processing	Lecture 5 - Sequence Learning
Link	NOC:Applied Natural Language Processing	Lecture 6 - Machine Translation
Link	NOC:Applied Natural Language Processing	Lecture 7 - Preprocessing
Link	NOC:Applied Natural Language Processing	Lecture 8 - Statistical Properties of Words - Part 1
Link	NOC:Applied Natural Language Processing	Lecture 9 - Statistical Properties of Words - Part 2
Link	NOC:Applied Natural Language Processing	Lecture 10 - Statistical Properties of Words - Part 3
Link	NOC:Applied Natural Language Processing	Lecture 11 - Vector Space Models for NLP
Link	NOC:Applied Natural Language Processing	Lecture 12 - Document Similarity - Demo, Inverted index, Exercise
Link	NOC:Applied Natural Language Processing	Lecture 13 - Vector Representation of words
Link	NOC:Applied Natural Language Processing	Lecture 14 - Contextual understanding of text
Link	NOC:Applied Natural Language Processing	Lecture 15 - Co-occurence matrix, n-grams
Link	NOC:Applied Natural Language Processing	Lecture 16 - Collocations, Dense word Vectors
Link	NOC:Applied Natural Language Processing	Lecture 17 - SVD, Dimensionality reduction, Demo
Link	NOC:Applied Natural Language Processing	Lecture 18 - Query Processing
Link	NOC:Applied Natural Language Processing	Lecture 19 - Topic Modeling
Link	NOC:Applied Natural Language Processing	Lecture 20 - Examples for word prediction
Link	NOC:Applied Natural Language Processing	Lecture 21 - Introduction to Probability in the context of NLP
Link	NOC:Applied Natural Language Processing	Lecture 22 - Joint and conditional probabilities, independence with examples
Link	NOC:Applied Natural Language Processing	Lecture 23 - The definition of probabilistic language model
Link	NOC:Applied Natural Language Processing	Lecture 24 - Chain rule and Markov assumption
Link	NOC:Applied Natural Language Processing	Lecture 25 - Generative Models
Link	NOC:Applied Natural Language Processing	Lecture 26 - Bigram and Trigram Language models - peeking indide the model building
Link	NOC:Applied Natural Language Processing	Lecture 27 - Out of vocabulary words and curse of dimensionality
Link	NOC:Applied Natural Language Processing	Lecture 28 - Exercise
Link	NOC:Applied Natural Language Processing	Lecture 29 - Naive-Bayes, classification
Link	NOC:Applied Natural Language Processing	Lecture 30 - Machine learning, perceptron, linearly separable
Link	NOC:Applied Natural Language Processing	Lecture 31 - Linear Models for Claassification
Link	NOC:Applied Natural Language Processing	Lecture 32 - Biological Neural Network
Link	NOC:Applied Natural Language Processing	Lecture 33 - Perceptron
Link	NOC:Applied Natural Language Processing	Lecture 34 - Perceptron Learning
Link	NOC:Applied Natural Language Processing	Lecture 35 - Logical XOR
Link	NOC:Applied Natural Language Processing	Lecture 36 - Activation Functions
Link	NOC:Applied Natural Language Processing	Lecture 37 - Gradient Descent
Link	NOC:Applied Natural Language Processing	Lecture 38 - Feedforward and Backpropagation Neural Network
Link	NOC:Applied Natural Language Processing	Lecture 39 - Why Word2Vec?
Link	NOC:Applied Natural Language Processing	Lecture 40 - What are CBOW and Skip-Gram Models?
Link	NOC:Applied Natural Language Processing	Lecture 41 - One word learning architecture
Link	NOC:Applied Natural Language Processing	Lecture 42 - Forward pass for Word2Vec
Link	NOC:Applied Natural Language Processing	Lecture 43 - Matrix Operations Explained
Link	NOC:Applied Natural Language Processing	Lecture 44 - CBOW and Skip Gram Models
Link	NOC:Applied Natural Language Processing	Lecture 45 - Building Skip-gram model using Python
Link	NOC:Applied Natural Language Processing	Lecture 46 - Reduction of complexity - sub-sampling, negative sampling
Link	NOC:Applied Natural Language Processing	Lecture 47 - Binay tree, Hierarchical softmax
Link	NOC:Applied Natural Language Processing	Lecture 48 - Mapping the output layer to Softmax
Link	NOC:Applied Natural Language Processing	Lecture 49 - Updating the weights using hierarchical softmax
Link	NOC:Applied Natural Language Processing	Lecture 50 - Discussion on the results obtained from word2vec
Link	NOC:Applied Natural Language Processing	Lecture 51 - Recap and Introduction
Link	NOC:Applied Natural Language Processing	Lecture 52 - ANN as a LM and its limitations
Link	NOC:Applied Natural Language Processing	Lecture 53 - Sequence Learning and its applications
Link	NOC:Applied Natural Language Processing	Lecture 54 - Introuduction to Recurrent Neural Network
Link	NOC:Applied Natural Language Processing	Lecture 55 - Unrolled RNN
Link	NOC:Applied Natural Language Processing	Lecture 56 - RNN - Based Language Model
Link	NOC:Applied Natural Language Processing	Lecture 57 - BPTT - Forward Pass
Link	NOC:Applied Natural Language Processing	Lecture 58 - BPTT - Derivatives for W,V and U
Link	NOC:Applied Natural Language Processing	Lecture 59 - BPTT - Exploding and vanishing gradient
Link	NOC:Applied Natural Language Processing	Lecture 60 - LSTM
Link	NOC:Applied Natural Language Processing	Lecture 61 - Truncated BPTT
Link	NOC:Applied Natural Language Processing	Lecture 62 - GRU
Link	NOC:Applied Natural Language Processing	Lecture 63 - Introduction and Historical Approaches to Machine Translation
Link	NOC:Applied Natural Language Processing	Lecture 64 - What is SMT?
Link	NOC:Applied Natural Language Processing	Lecture 65 - Noisy Channel Model, Bayes Rule, Language Model
Link	NOC:Applied Natural Language Processing	Lecture 66 - Translation Model, Alignment Variables
Link	NOC:Applied Natural Language Processing	Lecture 67 - Alignments again!
Link	NOC:Applied Natural Language Processing	Lecture 68 - IBM Model 1
Link	NOC:Applied Natural Language Processing	Lecture 69 - IBM Model 2
Link	NOC:Applied Natural Language Processing	Lecture 70 - Introduction to Phrase-based translation
Link	NOC:Applied Natural Language Processing	Lecture 71 - Symmetrization of alignments
Link	NOC:Applied Natural Language Processing	Lecture 72 - Extraction of Phrases
Link	NOC:Applied Natural Language Processing	Lecture 73 - Learning/estimating the phrase probabilities using another Symmetrization example
Link	NOC:Applied Natural Language Processing	Lecture 74 - Introduction to evaluation of Machine Translation
Link	NOC:Applied Natural Language Processing	Lecture 75 - BLEU - A short Discussion of the seminal paper
Link	NOC:Applied Natural Language Processing	Lecture 76 - BLEU Demo using NLTK and other Metrics
Link	NOC:Applied Natural Language Processing	Lecture 77 - Encoder-Decoder model for Neural Machine Translation
Link	NOC:Applied Natural Language Processing	Lecture 78 - RNN Based Machine Translation
Link	NOC:Applied Natural Language Processing	Lecture 79 - Recap and Connecting Bloom Taxonomy with Machine Learning
Link	NOC:Applied Natural Language Processing	Lecture 80 - Introduction to Attention based Translation
Link	NOC:Applied Natural Language Processing	Lecture 81 - Research Paper discussion on Neural machine translation by jointly learning to align and translate
Link	NOC:Applied Natural Language Processing	Lecture 82 - Typical NMT architecture architecture and models for multi-language translation
Link	NOC:Applied Natural Language Processing	Lecture 83 - Beam Search, Stochatic Gradient Descend, Mini Batch, Batch
Link	NOC:Applied Natural Language Processing	Lecture 84 - Beam Search, Stochatic Gradient Descend, Mini Batch, Batch
Link	NOC:Applied Natural Language Processing	Lecture 85 - Introduction to Conversation Modeling
Link	NOC:Applied Natural Language Processing	Lecture 86 - A few examples in Conversation Modeling
Link	NOC:Applied Natural Language Processing	Lecture 87 - Some ideas to Implement IR-based Conversation Modeling
Link	NOC:Applied Natural Language Processing	Lecture 88 - Discussion of some ideas in Question Answering
Link	NOC:Applied Natural Language Processing	Lecture 89 - Hyperspace Analogue to Language - HAL
Link	NOC:Applied Natural Language Processing	Lecture 90 - Correlated Occurence Analogue to Lexical Semantic - COALS
Link	NOC:Applied Natural Language Processing	Lecture 91 - Global Vectors - Glove
Link	NOC:Applied Natural Language Processing	Lecture 92 - Evaluation of Word vectors
Link	NOC:Python for Data Science	Lecture 1 - Introduction to Python for Data Science
Link	NOC:Python for Data Science	Lecture 2 - Introduction to Python
Link	NOC:Python for Data Science	Lecture 3 - Introduction to Spyder - Part 1
Link	NOC:Python for Data Science	Lecture 4 - Introduction to Spyder - Part 2
Link	NOC:Python for Data Science	Lecture 5 - Variables and Datatypes
Link	NOC:Python for Data Science	Lecture 6 - Operators
Link	NOC:Python for Data Science	Lecture 7 - Jupyter setup
Link	NOC:Python for Data Science	Lecture 8 - Sequence data - Part 1
Link	NOC:Python for Data Science	Lecture 9 - Sequence data - Part 2
Link	NOC:Python for Data Science	Lecture 10 - Sequence data - Part 3
Link	NOC:Python for Data Science	Lecture 11 - Sequence data - Part 4
Link	NOC:Python for Data Science	Lecture 12 - Numpy
Link	NOC:Python for Data Science	Lecture 13 - Reading data
Link	NOC:Python for Data Science	Lecture 14 - Pandas Dataframes - I
Link	NOC:Python for Data Science	Lecture 15 - Pandas Dataframes - II
Link	NOC:Python for Data Science	Lecture 16 - Pandas Dataframes - III
Link	NOC:Python for Data Science	Lecture 17 - Control structures and Functions
Link	NOC:Python for Data Science	Lecture 18 - Exploratory data analysis
Link	NOC:Python for Data Science	Lecture 19 - Data Visualization - Part I
Link	NOC:Python for Data Science	Lecture 20 - Data Visualization - Part II
Link	NOC:Python for Data Science	Lecture 21 - Dealing with missing data
Link	NOC:Python for Data Science	Lecture 22 - Introduction to Classification Case Study
Link	NOC:Python for Data Science	Lecture 23 - Case Study on Classification - Part I
Link	NOC:Python for Data Science	Lecture 24 - Case Study on Classification - Part II
Link	NOC:Python for Data Science	Lecture 25 - Introduction to Regression Case Study
Link	NOC:Python for Data Science	Lecture 26 - Case Study on Regression - Part I
Link	NOC:Python for Data Science	Lecture 27 - Case Study on Regression - Part II
Link	NOC:Python for Data Science	Lecture 28 - Case Study on Regression - Part III
Link	NOC:Python for Data Science	Lecture 29 - Module : Predictive Modelling
Link	NOC:Python for Data Science	Lecture 30 - Linear Regression
Link	NOC:Python for Data Science	Lecture 31 - Model Assessment
Link	NOC:Python for Data Science	Lecture 32 - Diagnostics to Improve Linear Model Fit
Link	NOC:Python for Data Science	Lecture 33 - Cross Validation
Link	NOC:Python for Data Science	Lecture 34 - Classification
Link	NOC:Python for Data Science	Lecture 35 - Logistic Regression
Link	NOC:Python for Data Science	Lecture 36 - K-Nearest Neighbors (kNN)
Link	NOC:Python for Data Science	Lecture 37 - K-means Clustering
Link	NOC:Python for Data Science	Lecture 38 - Logistic Regression (Continued...)
Link	NOC:Python for Data Science	Lecture 39 - Decision Trees
Link	NOC:Python for Data Science	Lecture 40 - Multiple Linear Regression
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 1 - Overview of Tensorflow
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 2 - Machine Learning Refresher
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 3 - Steps in Machine Learning Process
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 4 - Loss Functions in Machine Learning
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 5 - Gradient Descent
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 6 - Gradient Descent Variations
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 7 - Model Selection and Evaluation
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 8 - Machine Learning Visualization
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 9 - Deep Learning Refresher
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 10 - Introduction to Tensors
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 11 - Mathematical Foundations of Deep Learning (Continued...)
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 12 - Building Data Pipelines for Tensorflow - Part 1
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 13 - Building Data Pipelines for Tensorflow - Part 2
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 14 - Building Data Pipelines for Tensorflow - Part 3
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 15 - Text Processing with Tensorflow
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 16 - Classify Images
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 17 - Regression
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 18 - Classify Structured Data
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 19 - Text Classification
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 20 - Underfitting and Overfitting
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 21 - Save and Restore Models
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 22 - CNNs - Part 1
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 23 - CNNs - Part 2
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 24 - Transfer learning with pretrained CNNs
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 25 - Transfer learning with TF hub
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 26 - Image classification and visualization
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 27 - Estimator API
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 28 - Logistic Regression
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 29 - Boosted Trees
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 30 - Introduction to word embeddings
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 31 - Recurrent Neural Networks - Part 1
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 32 - Recurrent Neural Networks - Part 2
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 33 - Time Series Forecasting with RNNs
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 34 - Text Generation with RNNs
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 35 - TensorFlow Customization
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 36 - Customizing tf.keras - Part 1
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 37 - Customizing tf.keras - Part 2
Link	NOC:Practical Machine Learning with Tensorflow	Lecture 38 - TensorFlow Distributed Training
Link	NOC:Introduction to Database Systems	Lecture 1 - Introduction
Link	NOC:Introduction to Database Systems	Lecture 2 - Database Architecture
Link	NOC:Introduction to Database Systems	Lecture 3 - RDBMS Architecture
Link	NOC:Introduction to Database Systems	Lecture 4 - Introduction to ER Model
Link	NOC:Introduction to Database Systems	Lecture 5 - Entities and Relationships
Link	NOC:Introduction to Database Systems	Lecture 6 - Modelling Weak Entities and Design Choices
Link	NOC:Introduction to Database Systems	Lecture 7 - Relational Data Model and Notion of Keys
Link	NOC:Introduction to Database Systems	Lecture 8 - Introduction to Relational Algebra
Link	NOC:Introduction to Database Systems	Lecture 9 - Operators in Relational Model
Link	NOC:Introduction to Database Systems	Lecture 10 - Uses of Renaming, Join and Division in Relation Algebra
Link	NOC:Introduction to Database Systems	Lecture 11 - Example Queries in Relation Model and Outer Join Operation
Link	NOC:Introduction to Database Systems	Lecture 12 - Convert ER-Model to a Relational Model
Link	NOC:Introduction to Database Systems	Lecture 13 - Introduction to tuple relational calculus
Link	NOC:Introduction to Database Systems	Lecture 14 - Example TRC queries
Link	NOC:Introduction to Database Systems	Lecture 15 - Data definition using SQL
Link	NOC:Introduction to Database Systems	Lecture 16 - Basic SQL query block and subqueries
Link	NOC:Introduction to Database Systems	Lecture 17 - Correlated subqueries
Link	NOC:Introduction to Database Systems	Lecture 18 - Aggregate functions
Link	NOC:Introduction to Database Systems	Lecture 19 - Views
Link	NOC:Introduction to Database Systems	Lecture 20 - Programmatic access of SQL
Link	NOC:Introduction to Database Systems	Lecture 21 - Normal forms - Introduction
Link	NOC:Introduction to Database Systems	Lecture 22 - Deriving new functional dependencies
Link	NOC:Introduction to Database Systems	Lecture 23 - Proving soundness and completeness of Armstrong's Axioms
Link	NOC:Introduction to Database Systems	Lecture 24 - Normal forms - 2 NF, 3NF, BCNF
Link	NOC:Introduction to Database Systems	Lecture 25 - Properties of decompositions
Link	NOC:Introduction to Database Systems	Lecture 26 - Normal forms - 4NF, 5NF
Link	NOC:Introduction to Database Systems	Lecture 27 - Introduction to file orgranization
Link	NOC:Introduction to Database Systems	Lecture 28 - File orgranization methods
Link	NOC:Introduction to Database Systems	Lecture 29 - Dynamic File orgranization using Hashing
Link	NOC:Introduction to Database Systems	Lecture 30 - Index structures
Link	NOC:Introduction to Database Systems	Lecture 31 - B+ trees on Disks
Link	NOC:Introduction to Database Systems	Lecture 32 - Performance and Reliability of Multiple Disks
Link	NOC:Introduction to Database Systems	Lecture 33 - Relational Query Evaluation
Link	NOC:Introduction to Database Systems	Lecture 34 - Join operator processing algorithms
Link	NOC:Introduction to Database Systems	Lecture 35 - Query optimization
Link	NOC:Introduction to Database Systems	Lecture 36 - ACID properties and operations in transactions
Link	NOC:Introduction to Database Systems	Lecture 37 - Schdeules
Link	NOC:Introduction to Database Systems	Lecture 38 - Concurrency control using Locks
Link	NOC:Introduction to Database Systems	Lecture 39 - Recovery using undo logging method
Link	NOC:Introduction to Database Systems	Lecture 40 - Recovery using Redo and Undo-Redo logging methods
Link	NOC:Introduction to Database Systems	Lecture 41 - Recoverable schdeules and transaction isolation levels
Link	NOC:Foundations of Cryptography	Lecture 1 - Introduction
Link	NOC:Foundations of Cryptography	Lecture 2 - Symmetric-key Encryption
Link	NOC:Foundations of Cryptography	Lecture 3 - Historical Ciphers and their Cryptanalysis
Link	NOC:Foundations of Cryptography	Lecture 4 - Perfect Security
Link	NOC:Foundations of Cryptography	Lecture 5 - Limitations of Perfect Security
Link	NOC:Foundations of Cryptography	Lecture 6 - Introduction to Computational Security
Link	NOC:Foundations of Cryptography	Lecture 7 - Semantic Security
Link	NOC:Foundations of Cryptography	Lecture 8 - Pseudo-random Generators (PRGs)
Link	NOC:Foundations of Cryptography	Lecture 9 - Operations on Pseudorandom Generators
Link	NOC:Foundations of Cryptography	Lecture 10 - Stream Ciphers
Link	NOC:Foundations of Cryptography	Lecture 11 - Provably-secure Instantiation of PRG
Link	NOC:Foundations of Cryptography	Lecture 12 - Practical Instantiations of PRG
Link	NOC:Foundations of Cryptography	Lecture 13 - CPA-security
Link	NOC:Foundations of Cryptography	Lecture 14 - Pseudo-random Functions (PRFs)
Link	NOC:Foundations of Cryptography	Lecture 15 - CPA-secure Encryption from PRF
Link	NOC:Foundations of Cryptography	Lecture 16 - Modes of Operations of Block Ciphers - Part I
Link	NOC:Foundations of Cryptography	Lecture 17 - Modes of Operations of Block Ciphers - Part II
Link	NOC:Foundations of Cryptography	Lecture 18 - Theoretical Constructions of Block Ciphers
Link	NOC:Foundations of Cryptography	Lecture 19 - Practical Constructions of Block Ciphers - Part I
Link	NOC:Foundations of Cryptography	Lecture 20 - Practical Constructions of Block Ciphers - Part II
Link	NOC:Foundations of Cryptography	Lecture 21 - From Passive to Active Adversary
Link	NOC:Foundations of Cryptography	Lecture 22 - Message Integrity and Authentication
Link	NOC:Foundations of Cryptography	Lecture 23 - Message Authentication for Long Messages - Part I
Link	NOC:Foundations of Cryptography	Lecture 24 - Message Authentication for Long Messages - Part II
Link	NOC:Foundations of Cryptography	Lecture 25 - Information-theoretic MACs - Part I
Link	NOC:Foundations of Cryptography	Lecture 26 - Information-theoretic MACs - Part II
Link	NOC:Foundations of Cryptography	Lecture 27 - Cryptographic Hash Functions - Part I
Link	NOC:Foundations of Cryptography	Lecture 28 - Cryptographic Hash Functions - Part II
Link	NOC:Foundations of Cryptography	Lecture 29 - Message Authentication Using Hash Functions
Link	NOC:Foundations of Cryptography	Lecture 30 - Generic Attacks on Hash Functions and Additional Applications of Hash Functions
Link	NOC:Foundations of Cryptography	Lecture 31 - Random Oracle Model - Part I
Link	NOC:Foundations of Cryptography	Lecture 32 - Random Oracle Model - Part II
Link	NOC:Foundations of Cryptography	Lecture 33 - Authenticated Encryption
Link	NOC:Foundations of Cryptography	Lecture 34 - Composing CPA-secure Cipher with a Secure MAC - Part I
Link	NOC:Foundations of Cryptography	Lecture 35 - Composing CPA-secure Cipher with a Secure MAC - Part II
Link	NOC:Foundations of Cryptography	Lecture 36 - Key-Exchange Protocols - Part I
Link	NOC:Foundations of Cryptography	Lecture 37 - Key-Exchange Protocols - Part II
Link	NOC:Foundations of Cryptography	Lecture 38 - Cyclic groups
Link	NOC:Foundations of Cryptography	Lecture 39 - Cryptographic Hardness Assumptions in the Cyclic Groups
Link	NOC:Foundations of Cryptography	Lecture 40 - Candidate Cyclic Groups for Cryptographic Purposes - Part I
Link	NOC:Foundations of Cryptography	Lecture 41 - Candidate Cyclic Groups for Cryptographic Purposes - Part II
Link	NOC:Foundations of Cryptography	Lecture 42 - Cryptographic Applications of the Discrete Log Assumption
Link	NOC:Foundations of Cryptography	Lecture 43 - Public-key Encryption
Link	NOC:Foundations of Cryptography	Lecture 44 - El Gamal Public-key Encryption Scheme
Link	NOC:Foundations of Cryptography	Lecture 45 - RSA Assumption
Link	NOC:Foundations of Cryptography	Lecture 46 - RSA Public-key Cryptosystem
Link	NOC:Foundations of Cryptography	Lecture 47 - Hybrid Public-key Cryptosystem
Link	NOC:Foundations of Cryptography	Lecture 48 - CCA-Secure Public-key Ciphers
Link	NOC:Foundations of Cryptography	Lecture 49 - CCA-Secure Public-key Ciphers Based on Diffie-Hellman Problems
Link	NOC:Foundations of Cryptography	Lecture 50 - CCA-Secure Public-key Ciphers Based on RSA Assumption
Link	NOC:Foundations of Cryptography	Lecture 51 - Digital Signatures
Link	NOC:Foundations of Cryptography	Lecture 52 - RSA Signatures
Link	NOC:Foundations of Cryptography	Lecture 53 - Identification Schemes
Link	NOC:Foundations of Cryptography	Lecture 54 - Schnorr Signature Scheme and TLS/SSL
Link	NOC:Foundations of Cryptography	Lecture 55 - Number Theory
Link	NOC:Foundations of Cryptography	Lecture 56 - Secret Sharing
Link	NOC:Foundations of Cryptography	Lecture 57 - Zero-Knowledge Protocols - Part I
Link	NOC:Foundations of Cryptography	Lecture 58 - Zero-Knowledge Protocols - Part II
Link	NOC:Foundations of Cryptography	Lecture 59 - Good Bye for Now
Link	NOC:Modern Application Development	Lecture 1 - Introduction to Modern Application Development - Part 1
Link	NOC:Modern Application Development	Lecture 2 - Introduction to Modern Application Development - Part 2
Link	NOC:Modern Application Development	Lecture 3 - Introduction to Modern Application Development - Part 3
Link	NOC:Modern Application Development	Lecture 4 - Introduction to Modern Application Development - Part 4
Link	NOC:Modern Application Development	Lecture 5 - Introduction to Modern Application Development - Part 5
Link	NOC:Modern Application Development	Lecture 6 - Command Line - Part 1
Link	NOC:Modern Application Development	Lecture 7 - Command Line - Part 2
Link	NOC:Modern Application Development	Lecture 8 - Command Line - Practice Questions - Part 1
Link	NOC:Modern Application Development	Lecture 9 - Command Line - Practice Questions - Part 2
Link	NOC:Modern Application Development	Lecture 10 - Comparing CLI, GUI, and Web Interfaces
Link	NOC:Modern Application Development	Lecture 11 - Producing HTML+CSS output - Part 1
Link	NOC:Modern Application Development	Lecture 12 - Producing HTML+CSS output - Part 2
Link	NOC:Modern Application Development	Lecture 13 - Introduction to Input in HTML
Link	NOC:Modern Application Development	Lecture 14 - Session 2 - Part 1
Link	NOC:Modern Application Development	Lecture 15 - Session 2 - Part 2
Link	NOC:Modern Application Development	Lecture 16 - Session 2 - Part 3
Link	NOC:Modern Application Development	Lecture 17 - Session 1 - Part 1 - Introduction to HTML and CSS
Link	NOC:Modern Application Development	Lecture 18 - Session 1 - Part 2
Link	NOC:Modern Application Development	Lecture 19 - Week6 - Session 1
Link	NOC:Modern Application Development	Lecture 20 - Week6 - Session 2
Link	NOC:Modern Application Development	Lecture 21 - Introduction to JDBC
Link	NOC:Modern Application Development	Lecture 22 - Week 7 Session 1 - Part 1
Link	NOC:Modern Application Development	Lecture 23 - Week 7 Session 1 - Part 2
Link	NOC:Modern Application Development	Lecture 24 - Week 8 Session 1
Link	NOC:Modern Application Development	Lecture 25 - Week 8 Session 2
Link	NOC:Modern Application Development	Lecture 26 - Week 8 Session 3
Link	NOC:Modern Application Development	Lecture 27 - Week 9 Session 1
Link	NOC:Modern Application Development	Lecture 28 - Week 9 Session 3
Link	NOC:Modern Application Development	Lecture 29 - Week 10 Part 1
Link	NOC:Modern Application Development	Lecture 30 - Week 10 Part 2
Link	NOC:Modern Application Development	Lecture 31 - Week 10 Part 3
Link	NOC:Modern Application Development	Lecture 32 - Week 11 Part 1
Link	NOC:Modern Application Development	Lecture 33 - Week 11 Part 2
Link	NOC:Modern Application Development	Lecture 34 - Week 12 Part 1
Link	NOC:Modern Application Development	Lecture 35 - Week 12 Part 2
Link	NOC:Modern Application Development	Lecture 36 - Week 12 Part 3
Link	NOC:Modern Application Development	Lecture 37 - Week 12 Part 4
Link	NOC:Deep Learning for Computer Vision	Lecture 1 - Course Introduction
Link	NOC:Deep Learning for Computer Vision	Lecture 2 - History
Link	NOC:Deep Learning for Computer Vision	Lecture 3 - Image Formation
Link	NOC:Deep Learning for Computer Vision	Lecture 4 - Image Representation
Link	NOC:Deep Learning for Computer Vision	Lecture 5 - Linear Filtering
Link	NOC:Deep Learning for Computer Vision	Lecture 6 - Image in Frequency Domain
Link	NOC:Deep Learning for Computer Vision	Lecture 7 - Image Sampling
Link	NOC:Deep Learning for Computer Vision	Lecture 8 - Edge Detection
Link	NOC:Deep Learning for Computer Vision	Lecture 9 - From Edges to Blobs and Corners
Link	NOC:Deep Learning for Computer Vision	Lecture 10 - Scale Space, Image Pyramids and Filter Banks
Link	NOC:Deep Learning for Computer Vision	Lecture 11 - Feature Detectors: SIFT and Variants
Link	NOC:Deep Learning for Computer Vision	Lecture 12 - Image Segmentation
Link	NOC:Deep Learning for Computer Vision	Lecture 13 - Other Feature Spaces
Link	NOC:Deep Learning for Computer Vision	Lecture 14 - Human Visual System
Link	NOC:Deep Learning for Computer Vision	Lecture 15 - Feature Matching
Link	NOC:Deep Learning for Computer Vision	Lecture 16 - Hough Transform
Link	NOC:Deep Learning for Computer Vision	Lecture 17 - From Points to Images: Bag-of-Words and VLAD Representations
Link	NOC:Deep Learning for Computer Vision	Lecture 18 - Image Descriptor Matching
Link	NOC:Deep Learning for Computer Vision	Lecture 19 - Pyramid Matching
Link	NOC:Deep Learning for Computer Vision	Lecture 20 - From Traditional Vision to Deep Learning
Link	NOC:Deep Learning for Computer Vision	Lecture 21 - Neural Networks: A Review - Part 1
Link	NOC:Deep Learning for Computer Vision	Lecture 22 - Neural Networks: A Review - Part 2
Link	NOC:Deep Learning for Computer Vision	Lecture 23 - Feedforward Neural Networks and Backpropagation - Part 1
Link	NOC:Deep Learning for Computer Vision	Lecture 24 - Feedforward Neural Networks and Backpropagation - Part 2
Link	NOC:Deep Learning for Computer Vision	Lecture 25 - Gradient Descent and Variants - Part 1
Link	NOC:Deep Learning for Computer Vision	Lecture 26 - Gradient Descent and Variants - Part 2
Link	NOC:Deep Learning for Computer Vision	Lecture 27 - Regularization in Neural Networks - Part 1
Link	NOC:Deep Learning for Computer Vision	Lecture 28 - Regularization in Neural Networks - Part 2
Link	NOC:Deep Learning for Computer Vision	Lecture 29 - Improving Training of Neural Networks - Part 1
Link	NOC:Deep Learning for Computer Vision	Lecture 30 - Improving Training of Neural Networks - Part 2
Link	NOC:Deep Learning for Computer Vision	Lecture 31 - Convolutional Neural Networks: An Introduction - Part 1
Link	NOC:Deep Learning for Computer Vision	Lecture 32 - Convolutional Neural Networks: An Introduction - Part 2
Link	NOC:Deep Learning for Computer Vision	Lecture 33 - Backpropagation in CNNs
Link	NOC:Deep Learning for Computer Vision	Lecture 34 - Evolution of CNN Architectures for Image Classification - Part 1
Link	NOC:Deep Learning for Computer Vision	Lecture 35 - Evolution of CNN Architectures for Image Classification - Part 2
Link	NOC:Deep Learning for Computer Vision	Lecture 36 - Recent CNN Architectures
Link	NOC:Deep Learning for Computer Vision	Lecture 37 - Finetuning in CNNs
Link	NOC:Deep Learning for Computer Vision	Lecture 38 - Explaining CNNs: Visualization Methods
Link	NOC:Deep Learning for Computer Vision	Lecture 39 - Explaining CNNs: Early Methods
Link	NOC:Deep Learning for Computer Vision	Lecture 40 - Explaining CNNs: Class Attribution Map Methods
Link	NOC:Deep Learning for Computer Vision	Lecture 41 - Explaining CNNs: Recent Methods - Part 1
Link	NOC:Deep Learning for Computer Vision	Lecture 42 - Explaining CNNs: Recent Methods - Part 2
Link	NOC:Deep Learning for Computer Vision	Lecture 43 - Going Beyond Explaining CNNs
Link	NOC:Deep Learning for Computer Vision	Lecture 44 - CNNs for Object Detection-I - Part 1
Link	NOC:Deep Learning for Computer Vision	Lecture 45 - CNNs for Object Detection-I - Part 2
Link	NOC:Deep Learning for Computer Vision	Lecture 46 - CNNs for Object Detection-II
Link	NOC:Deep Learning for Computer Vision	Lecture 47 - CNNs for Segmentation
Link	NOC:Deep Learning for Computer Vision	Lecture 48 - CNNs for Human Understanding: Faces - Part 1
Link	NOC:Deep Learning for Computer Vision	Lecture 49 - CNNs for Human Understanding: Faces - Part 2
Link	NOC:Deep Learning for Computer Vision	Lecture 50 - CNNs for Human Understanding: Human Pose and Crowd
Link	NOC:Deep Learning for Computer Vision	Lecture 51 - CNNs for Other Image Tasks
Link	NOC:Deep Learning for Computer Vision	Lecture 52 - Recurrent Neural Networks: Introduction
Link	NOC:Deep Learning for Computer Vision	Lecture 53 - Backpropagation in RNNs
Link	NOC:Deep Learning for Computer Vision	Lecture 54 - LSTMs and GRUs
Link	NOC:Deep Learning for Computer Vision	Lecture 55 - Video Understanding using CNNs and RNNs
Link	NOC:Deep Learning for Computer Vision	Lecture 56 - Attention in Vision Models: An Introduction
Link	NOC:Deep Learning for Computer Vision	Lecture 57 - Vision and Language: Image Captioning
Link	NOC:Deep Learning for Computer Vision	Lecture 58 - Beyond Captioning: Visual QA, Visual Dialog
Link	NOC:Deep Learning for Computer Vision	Lecture 59 - Other Attention Models
Link	NOC:Deep Learning for Computer Vision	Lecture 60 - Self-Attention and Transformers
Link	NOC:Deep Learning for Computer Vision	Lecture 61 - Deep Generative Models: An Introduction
Link	NOC:Deep Learning for Computer Vision	Lecture 62 - Generative Adversarial Networks - Part 1
Link	NOC:Deep Learning for Computer Vision	Lecture 63 - Generative Adversarial Networks - Part 2
Link	NOC:Deep Learning for Computer Vision	Lecture 64 - Variational Autoencoders
Link	NOC:Deep Learning for Computer Vision	Lecture 65 - Combining VAEs and GANs
Link	NOC:Deep Learning for Computer Vision	Lecture 66 - Beyond VAEs and GANs: Other Deep Generative Models - Part 1
Link	NOC:Deep Learning for Computer Vision	Lecture 67 - Beyond VAEs and GANs: Other Deep Generative Models - Part 2
Link	NOC:Deep Learning for Computer Vision	Lecture 68 - GAN Improvements
Link	NOC:Deep Learning for Computer Vision	Lecture 69 - Deep Generative Models across Multiple Domains
Link	NOC:Deep Learning for Computer Vision	Lecture 70 - VAEs and DIsentanglement
Link	NOC:Deep Learning for Computer Vision	Lecture 71 - Deep Generative Models: Image Applications
Link	NOC:Deep Learning for Computer Vision	Lecture 72 - Deep Generative Models: Video Applications
Link	NOC:Deep Learning for Computer Vision	Lecture 73 - Few-shot and Zero-shot Learning - Part 1
Link	NOC:Deep Learning for Computer Vision	Lecture 74 - Few-shot and Zero-shot Learning - Part 2
Link	NOC:Deep Learning for Computer Vision	Lecture 75 - Self-Supervised Learning
Link	NOC:Deep Learning for Computer Vision	Lecture 76 - Adversarial Robustness
Link	NOC:Deep Learning for Computer Vision	Lecture 77 - Pruning and Model Compression
Link	NOC:Deep Learning for Computer Vision	Lecture 78 - Neural Architecture Search
Link	NOC:Deep Learning for Computer Vision	Lecture 79 - Course Conclusion
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 1 - Prologue
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 2 - The Winograd Schema Challenge
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 3 - Introduction (2013 version)
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 4 - Can Machines Think?
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 5 - The Turing Test
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 6 - Language and Thought
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 7 - The Willing Suspension of Disbelief
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 8 - Machines with Wheels and Gears
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 9 - The Notion of Mind in Philosophy
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 10 - Reasoning = Computation
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 11 - Concepts and Categories
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 12 - How did AI get its name?
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 13 - The Chess Saga
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 14 - A Brief History of AI
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 15 - The Worlds in our Minds
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 16 - Epiphemona in Computers
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 17 - State Space Search
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 18 - Domain Independent Algorithms
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 19 - Deterministic Search
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 20 - DFS and BFS
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 21 - Comparing DFS and BFS
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 22 - Depth First Iterative Deepening
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 23 - Heuristic Search
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 24 - Heuristic Functions and the Search Landscape
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 25 - Solution Space Search
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 26 - The Traveling Salesman Problem
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 27 - Escaping Local Optima
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 28 - Stochastic Local Search
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 29 - Genetic Algorithms: Survival of the Fittest
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 30 - Genetic Algorithms and SAT
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 31 - Genetic Algorithms for the TSP
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 32 - Emergent Systems
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 33 - Ant Colony Optimization
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 34 - Finding Optimal Paths
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 35 - Branch and Bound
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 36 - Algorithm A*
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 37 - A*: An illustrated example
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 38 - Is A* Admissible?
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 39 - Admissibility of A*
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 40 - Higher, Faster ...
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 41 - B&B - A* - wA* - Best First
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 42 - A*: Leaner Admissible Variations
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 43 - The Monotone Condition
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 44 - DNA Sequence Alignment
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 45 - Divide and Conquer Frontier Search.
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 46 - Smart Memory Graph Search
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 47 - Variations on A*: The story so far
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 48 - Breadth First Heuristic Search
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 49 - Beam Stack Search
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 50 - Game Theory
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 51 - Popular Recreational Games
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 52 - Board Games and Game Trees
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 53 - The Evaluation Function in Board Games
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 54 - Algorithm Minimax and Alpha-Beta Pruning
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 55 - A Cluster of Strategies
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 56 - SSS*: A Best First Algorithm
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 57 - SSS*: A Detailed Example
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 58 - Automated Domain Independent Planning
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 59 - The Blocks World Domain
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 60 - State Space Planning: Forward and Backward
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 61 - Goal Stack Planning (GSP)
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 62 - GSP: A Detailed Example
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 63 - Plan Space Planning (PSP)
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 64 - PSP: A Tiny Example
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 65 - Multi-Armed Robots
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 66 - Means-Ends Analysis
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 67 - The Planning Graph
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 68 - Algorithm Graphplan
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 69 - Problem Decomposition.
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 70 - Algorithm AO*
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 71 - AO*: An Illustration
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 72 - Rule Based Expert Systems
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 73 - The Inference Engine
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 74 - The OPS5 Language
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 75 - Conflict Resolution
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 76 - Business Rule Management Systems
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 77 - The Rete Net
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 78 - Rete Algorithm: Optimizing the Match
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 79 - Rete Algorithm: Conflict Resolution
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 80 - Reasoning in Logic
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 81 - Rules of Inference
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 82 - Forward Reasoning
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 83 - First Order Logic
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 84 - Implicit Quantifier Notation
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 85 - Backward Reasoning
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 86 - Depth First Search on Goal Trees
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 87 - Incompleteness...
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 88 - Constraint Satisfaction Problems
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 89 - Binary Constraint Networks
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 90 - Interpreting Line Drawings
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 91 - Model Based Diagnosis
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 92 - Solving CSPs
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 93 - Arc Consistency
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 94 - Propagation = Reasoning
Link	NOC:Artificial Intelligence Search Methods For Problem Solving	Lecture 95 - Lookahead Search
Link	NOC:Computational Complexity	Lecture 1 - Introduction to Computational Complexity
Link	NOC:Computational Complexity	Lecture 2 - The Class P
Link	NOC:Computational Complexity	Lecture 3 - The Class NP
Link	NOC:Computational Complexity	Lecture 4 - The Class NP - Alternate Definition
Link	NOC:Computational Complexity	Lecture 5 - Polynomial Time Reductions
Link	NOC:Computational Complexity	Lecture 6 - NP - Completeness
Link	NOC:Computational Complexity	Lecture 7 - Cook Levin Theorem - Part 1
Link	NOC:Computational Complexity	Lecture 8 - Cook Levin Theorem - Part 2
Link	NOC:Computational Complexity	Lecture 9 - More NP Complete Problems
Link	NOC:Computational Complexity	Lecture 10 - Polynomial Hierarchy - Part 1
Link	NOC:Computational Complexity	Lecture 11 - Polynomial Hierarchy - Part 2
Link	NOC:Computational Complexity	Lecture 12 - Polynomial Hierarchy - Part 3
Link	NOC:Computational Complexity	Lecture 13 - Time Hierarchy Theorem
Link	NOC:Computational Complexity	Lecture 14 - Introduction to Space Complexity
Link	NOC:Computational Complexity	Lecture 15 - NL-Completeness
Link	NOC:Computational Complexity	Lecture 16 - Savitch's Theorem
Link	NOC:Computational Complexity	Lecture 17 - NL = co-NL - Part 1
Link	NOC:Computational Complexity	Lecture 18 - NL = co-NL - Part 2
Link	NOC:Computational Complexity	Lecture 19 - PSPACE Completeness
Link	NOC:Computational Complexity	Lecture 20 - Games and PSPACE Completeness
Link	NOC:Computational Complexity	Lecture 21 - Space Hierarchy Theorem
Link	NOC:Computational Complexity	Lecture 22 - Ladner's Theorem
Link	NOC:Computational Complexity	Lecture 23 - Oracle Turing Machines
Link	NOC:Computational Complexity	Lecture 24 - Polynomial Hierarchy Using Oracles
Link	NOC:Computational Complexity	Lecture 25 - Baker-Gill-Solovay Theorem - Part 1
Link	NOC:Computational Complexity	Lecture 26 - Baker-Gill-Solovay Theorem - Part 2
Link	NOC:Computational Complexity	Lecture 27 - Randomized Complexity Classes - Part 1
Link	NOC:Computational Complexity	Lecture 28 - Randomized Complexity Classes - Part 2
Link	NOC:Computational Complexity	Lecture 29 - Randomized Complexity Classes - Part 3
Link	NOC:Computational Complexity	Lecture 30 - Randomized Complexity Classes - Part 4
Link	NOC:Computational Complexity	Lecture 31 - Comparison Between Randomized Complexity Classes
Link	NOC:Computational Complexity	Lecture 32 - BPP is in Polynomial Hierarchy
Link	NOC:Computational Complexity	Lecture 33 - Circuit Complexity - Part 1
Link	NOC:Computational Complexity	Lecture 34 - Circuit Complexity - Part 2
Link	NOC:Computational Complexity	Lecture 35 - Formal Definition of Circuits
Link	NOC:Computational Complexity	Lecture 36 - Hierarchy Theorem for Circuit Size
Link	NOC:Computational Complexity	Lecture 37 - Complexity Class : P/Poly
Link	NOC:Computational Complexity	Lecture 38 - Karp-Lipton Theorem
Link	NOC:Computational Complexity	Lecture 39 - Turing Machines That Take Advice
Link	NOC:Computational Complexity	Lecture 40 - Classes NC and AC
Link	NOC:Computational Complexity	Lecture 41 - Parity Not in AC0 - Part 1
Link	NOC:Computational Complexity	Lecture 42 - Parity Not in AC0 - Part 2
Link	NOC:Computational Complexity	Lecture 43 - Adleman's Theorem
Link	NOC:Computational Complexity	Lecture 44 - Polynomial Identity Testing and Bipartite Perfect Matching in RNC
Link	NOC:Computational Complexity	Lecture 45 - Search Bipartite Perfect Matching is in RNC - Part 1
Link	NOC:Computational Complexity	Lecture 46 - Search Bipartite Perfect Matching is in RNC - Part 2
Link	NOC:Computational Complexity	Lecture 47 - Promise Problems and Valiant-Vazirani Theorem
Link	NOC:Computational Complexity	Lecture 48 - Valiant Vazirani Theorem Continued
Link	NOC:Computational Complexity	Lecture 49 - #P and the Complexity of Counting
Link	NOC:Computational Complexity	Lecture 50 - Permanent is #P-Complete - Part 1
Link	NOC:Computational Complexity	Lecture 51 - Permanent is #P-Complete - Part 2
Link	NOC:Computational Complexity	Lecture 52 - Toda's Theorem - Part 1
Link	NOC:Computational Complexity	Lecture 53 - Toda's Theorem - Part 2
Link	NOC:Computational Complexity	Lecture 54 - Introduction to Communication Complexity - Part 1
Link	NOC:Computational Complexity	Lecture 55 - Introduction to Communication Complexity - Part 2
Link	NOC:Computational Complexity	Lecture 56 - Lower Bound Techniques
Link	NOC:Computational Complexity	Lecture 57 - Communication Complexity of Relations
Link	NOC:Computational Complexity	Lecture 58 - Monotone Depth Lower Bound for Matching
Link	NOC:Computational Complexity	Lecture 59 - Interactive Proofs
Link	NOC:Computational Complexity	Lecture 60 - #3SAT is in IP
Link	NOC:Computational Complexity	Lecture 61 - Public Coin Interactive Proofs and AM/MA
Link	NOC:Computational Complexity	Lecture 62 - Simulating Private Coins using Public Coins
Link	NOC:Computational Complexity	Lecture 63 - Summary and Concluding Remarks
Link	NOC:Parameterized Algorithms	Lecture 1 - Invitation to FPT
Link	NOC:Parameterized Algorithms	Lecture 2 - Formalizing FPT
Link	NOC:Parameterized Algorithms	Lecture 3 - Kernelization: High Degree Rule
Link	NOC:Parameterized Algorithms	Lecture 4 - Kernelization: d-Hitting Set
Link	NOC:Parameterized Algorithms	Lecture 5 - Kernelization: Crown Reduciton
Link	NOC:Parameterized Algorithms	Lecture 6 - Kernelization: Nemhauser-Trotter and Expansion Lemma
Link	NOC:Parameterized Algorithms	Lecture 7 - Introduction to Branching
Link	NOC:Parameterized Algorithms	Lecture 8 - Analyzing Recurrences
Link	NOC:Parameterized Algorithms	Lecture 9 - High-Degree Branching for FVS
Link	NOC:Parameterized Algorithms	Lecture 10 - Vertex Cover above LP
Link	NOC:Parameterized Algorithms	Lecture 11 - Applications of Vertex Cover above Matching
Link	NOC:Parameterized Algorithms	Lecture 12 - Iterative Compression I: Setting Up the Method
Link	NOC:Parameterized Algorithms	Lecture 13 - Iterative Compression II: Vertex Cover and Tournament Feedback Vertex Set
Link	NOC:Parameterized Algorithms	Lecture 14 - Iterative Compression III: Feedback Vertex Set and 3-Hitting Set
Link	NOC:Parameterized Algorithms	Lecture 15 - Iterative Compression IV: Odd Cycle Transversal
Link	NOC:Parameterized Algorithms	Lecture 16 - Introduction to Randomized Algorithms via a Simple Randomized FPT Algorithm for FVS
Link	NOC:Parameterized Algorithms	Lecture 17 - Color Coding for Longest Path
Link	NOC:Parameterized Algorithms	Lecture 18 - Chromatic Coding for Feedback Arc Set on Tournaments
Link	NOC:Parameterized Algorithms	Lecture 19 - Random Separation and Subgraph Isomorphism
Link	NOC:Parameterized Algorithms	Lecture 20 - Derandomization
Link	NOC:Parameterized Algorithms	Lecture 21 - Divide and Conquer and Separator
Link	NOC:Parameterized Algorithms	Lecture 22 - Towards Defining Treewidth
Link	NOC:Parameterized Algorithms	Lecture 23 - Treewidth and Constructing Treedecomposition of Few Graph Classes
Link	NOC:Parameterized Algorithms	Lecture 24 - Structural Properties of Treedecomposition and Win-Win
Link	NOC:Parameterized Algorithms	Lecture 25 - Nice Tree Decomposition and Algorithm for Max Weight Independent Set
Link	NOC:Parameterized Algorithms	Lecture 26 - Dynamic Programming Algorithm over graphs of Bounded Treewidth
Link	NOC:Parameterized Algorithms	Lecture 27 - FPT Appproximation Algorithm for Computing Tree Decomposition - Part 1
Link	NOC:Parameterized Algorithms	Lecture 28 - FPT Appproximation Algorithm for Computing Tree Decomposition - Part 2
Link	NOC:Parameterized Algorithms	Lecture 29 - FPT Appproximation Algorithm for Computing Tree Decomposition and Applications - Part 1
Link	NOC:Parameterized Algorithms	Lecture 30 - FPT Appproximation Algorithm for Computing Tree Decomposition and Applications - Part 2
Link	NOC:Parameterized Algorithms	Lecture 31 - Dynamic Programming Over Subsets for Set Cover
Link	NOC:Parameterized Algorithms	Lecture 32 - Dynamic Programming Over Subsets for Steiner Tree
Link	NOC:Parameterized Algorithms	Lecture 33 - ILP for Envy-Free Allocations and Lobbying
Link	NOC:Parameterized Algorithms	Lecture 34 - ILP for Imbalance Parameterized by Vertex Cover
Link	NOC:Parameterized Algorithms	Lecture 35 - Important Cuts: Basic
Link	NOC:Parameterized Algorithms	Lecture 36 - Important Cuts: Enumeration and Bounds
Link	NOC:Parameterized Algorithms	Lecture 37 - FPT Algorithm for Multiway Cut
Link	NOC:Parameterized Algorithms	Lecture 38 - FPT Algorithm for Directed Feedback Edge Set
Link	NOC:Parameterized Algorithms	Lecture 39 - Algebraic Techniques: Inclusion Exclusion (Coloring)
Link	NOC:Parameterized Algorithms	Lecture 40 - Algebraic Techniques: Inclusion Exclusion (Hamiltonian Path)
Link	NOC:Parameterized Algorithms	Lecture 41 - Algebraic Techniques: Matrix Multiplication
Link	NOC:Parameterized Algorithms	Lecture 42 - Algebraic Techniques: Polynomial Method
Link	NOC:Parameterized Algorithms	Lecture 43 - Matroids: Representative Sets
Link	NOC:Parameterized Algorithms	Lecture 44 - Matroids: Representative Sets - Computation and Combinatorics
Link	NOC:Parameterized Algorithms	Lecture 45 - Matroids: Representative Sets - Applications (Paths and Kernels)
Link	NOC:Parameterized Algorithms	Lecture 46 - Matroids: Representative Sets - Applications (Directed Long Cycle)
Link	NOC:Parameterized Algorithms	Lecture 47 - Reductions - An Introduction
Link	NOC:Parameterized Algorithms	Lecture 48 - Reductions - Problems as Hard as Clique I (Clique on Regular Graphs)
Link	NOC:Parameterized Algorithms	Lecture 49 - Reductions - Problems as Hard as Clique (PVC, MCC, MIS)
Link	NOC:Parameterized Algorithms	Lecture 50 - Reductions - Problems as Hard as Clique (Dominating Set, Set Cover)
Link	NOC:Getting Started with Competitive Programming	Lecture 0 - Welcome and Initial Setup
Link	NOC:Getting Started with Competitive Programming	Lecture 1 - Reversort
Link	NOC:Getting Started with Competitive Programming	Lecture 2 - Engineering Reversort
Link	NOC:Getting Started with Competitive Programming	Lecture 3 - Number Game
Link	NOC:Getting Started with Competitive Programming	Lecture 4 - Will It Stop?
Link	NOC:Getting Started with Competitive Programming	Lecture 5 - Trouble Sort
Link	NOC:Getting Started with Competitive Programming	Lecture 6 - The Meeting Place Cannot Be Changed
Link	NOC:Getting Started with Competitive Programming	Lecture 7 - Magic Ship
Link	NOC:Getting Started with Competitive Programming	Lecture 8 - Simple Skewness
Link	NOC:Getting Started with Competitive Programming	Lecture 9 - Pancake Flipping
Link	NOC:Getting Started with Competitive Programming	Lecture 10 - Islands War
Link	NOC:Getting Started with Competitive Programming	Lecture 11 - Stable Marriage - I
Link	NOC:Getting Started with Competitive Programming	Lecture 12 - Stable Marriage - II
Link	NOC:Getting Started with Competitive Programming	Lecture 13 - When Greedy Does Not Work - Coin Change
Link	NOC:Getting Started with Competitive Programming	Lecture 14 - When Greedy Does Not Work - Guarding a Museum
Link	NOC:Getting Started with Competitive Programming	Lecture 15 - When Greedy Does Not Work - Traveling Salesman
Link	NOC:Getting Started with Competitive Programming	Lecture 16 - DSU - Definition and Motivation
Link	NOC:Getting Started with Competitive Programming	Lecture 17 - DSU via Union by Rank and Path Compression
Link	NOC:Getting Started with Competitive Programming	Lecture 18 - DSU - Implementation
Link	NOC:Getting Started with Competitive Programming	Lecture 19 - Destroying Array - I (Problem Statement and Solution)
Link	NOC:Getting Started with Competitive Programming	Lecture 20 - Destroying Array - II (Implementation)
Link	NOC:Getting Started with Competitive Programming	Lecture 21 - War-I (Problem Statement)
Link	NOC:Getting Started with Competitive Programming	Lecture 22 - War-II (Solution)
Link	NOC:Getting Started with Competitive Programming	Lecture 23 - War-III (Implementation)
Link	NOC:Getting Started with Competitive Programming	Lecture 24 - Graph Foundations
Link	NOC:Getting Started with Competitive Programming	Lecture 25 - BFS and DFS
Link	NOC:Getting Started with Competitive Programming	Lecture 26 - Mahmoud and Ehab and the bipartiteness
Link	NOC:Getting Started with Competitive Programming	Lecture 27 - Cover It!
Link	NOC:Getting Started with Competitive Programming	Lecture 28 - Diamond Inheritance
Link	NOC:Getting Started with Competitive Programming	Lecture 29 - SSSP - Overview BFS Revisited
Link	NOC:Getting Started with Competitive Programming	Lecture 30 - SSSP and Dijkstra's Algorithm
Link	NOC:Getting Started with Competitive Programming	Lecture 31 - Sending Email
Link	NOC:Getting Started with Competitive Programming	Lecture 32 - SSSP and Modified Dijkstra
Link	NOC:Getting Started with Competitive Programming	Lecture 33 - SSSP with Negative Cycles - Bellman-Ford
Link	NOC:Getting Started with Competitive Programming	Lecture 34 - Wormholes
Link	NOC:Getting Started with Competitive Programming	Lecture 35 - APSP and Floyd-Warshall
Link	NOC:Getting Started with Competitive Programming	Lecture 36 - Page Hopping
Link	NOC:Getting Started with Competitive Programming	Lecture 37 - Introduction to MSTs
Link	NOC:Getting Started with Competitive Programming	Lecture 38 - Prim's Algorithm
Link	NOC:Getting Started with Competitive Programming	Lecture 39 - Kruskal's Algorithm
Link	NOC:Getting Started with Competitive Programming	Lecture 40 - Cherries Mesh
Link	NOC:Getting Started with Competitive Programming	Lecture 41 - Heirarchy
Link	NOC:Getting Started with Competitive Programming	Lecture 42 - Island Hopping
Link	NOC:Getting Started with Competitive Programming	Lecture 43 - Introduction to MaxFlow
Link	NOC:Getting Started with Competitive Programming	Lecture 44 - Ford-Fulkerson for MaxFlow
Link	NOC:Getting Started with Competitive Programming	Lecture 45 - Implementing Edmonds-Karp
Link	NOC:Getting Started with Competitive Programming	Lecture 46 - Maximum Matching via MaxFlow
Link	NOC:Getting Started with Competitive Programming	Lecture 47 - Sport Elimination via MaxFlow
Link	NOC:Getting Started with Competitive Programming	Lecture 48 - Maxflow-Mincut Duality
Link	NOC:Getting Started with Competitive Programming	Lecture 49 - Police Chase
Link	NOC:Getting Started with Competitive Programming	Lecture 50 - Sam I AM and Vertex Covers
Link	NOC:Getting Started with Competitive Programming	Lecture 51 - Top-Down Dynamic Programming with Frog 1 - Part A
Link	NOC:Getting Started with Competitive Programming	Lecture 52 - Top-Down Dynamic Programming with Frog 1 - Part B
Link	NOC:Getting Started with Competitive Programming	Lecture 53 - Bottom-Up Dynamic Programming with Dice Combinations
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 1 - Quantum Computing Roadmap
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 2 - Quantum Mission in India
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 3 - A Brief Introduction to Applications of Quantum
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 4 - Quantum Computing Basics
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 5 - Postulates of Quantum Mechanics - Part 1
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 6 - Postulates of Quantum Mechanics - Part 2
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 7 - Quantum Measurements
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 8 - Quantum Gates and Circuits - Part 1
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 9 - Quantum Gates and Circuits - Part 2
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 10 - Programming using IBM Quantum Experience and Circuit Composer
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 11 - Quantum Computing Concepts: Entanglement and Interference - Part 1
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 12 - Quantum Computing Concepts: Entanglement and Interference - Part 2
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 13 - Programming using Qiskit - Part 1
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 14 - Programming using Qiskit - Part 2
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 15 - Quantum Algorithms: Deutsch Jozsa Algorithm
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 16 - Quantum Algorithms: Bernstein Vazirani Algorithm
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 17 - Quantum Algorithms: Grover's Search
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 18 - Grover's algorithm Programming
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 19 - NISQ-era quantum algorithms
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 20 - Variational Quantum Algorithms
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 21 - Variational Quantum Eigensolver
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 22 - Quantum Generative Adversarial Networks (QGANs)
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 23 - Fixing quantum errors with quantum tricks: A brief introduction to QEC - Part 1
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 24 - Fixing quantum errors with quantum tricks: A brief introduction to QEC - Part 2
Link	NOC:Introduction to Quantum Computing: Quantum Algorithms and Qiskit	Lecture 25 - Fixing quantum errors with quantum tricks: A brief introduction to QEC - Part 3
Link	NOC:Systems and Usable Security	Lecture 1 - Introduction to Computer Security - Part 1
Link	NOC:Systems and Usable Security	Lecture 2 - Introduction to Computer Security - Part 2
Link	NOC:Systems and Usable Security	Lecture 3 - Malcious Software - Part 1
Link	NOC:Systems and Usable Security	Lecture 4 - Malcious Software - Part 2
Link	NOC:Systems and Usable Security	Lecture 5 - Social Engineering and Phishing Attacks - Part 1
Link	NOC:Systems and Usable Security	Lecture 6 - Social Engineering and Phishing Attacks - Part 2
Link	NOC:Systems and Usable Security	Lecture 7 - Operating System Security - Part 1
Link	NOC:Systems and Usable Security	Lecture 8 - Operating System Security - Part 2
Link	NOC:Systems and Usable Security	Lecture 9 - Operating System Security - Part 3
Link	NOC:Systems and Usable Security	Lecture 10 - Operating System Security - Part 4
Link	NOC:Systems and Usable Security	Lecture 11 - Email Security - Part 1
Link	NOC:Systems and Usable Security	Lecture 12 - Email Security - Part 2
Link	NOC:Systems and Usable Security	Lecture 13 - Transport Layer Security - Part 1
Link	NOC:Systems and Usable Security	Lecture 14 - Transport Layer Security - Part 2
Link	NOC:Systems and Usable Security	Lecture 15 - IP Security - Part 1
Link	NOC:Systems and Usable Security	Lecture 16 - IP Security - Part 2
Link	NOC:Systems and Usable Security	Lecture 17 - Security and Usability Overview
Link	NOC:Systems and Usable Security	Lecture 18 - User Privacy and Usability
Link	NOC:Online Privacy	Lecture 1 - Online Privacy
Link	NOC:Online Privacy	Lecture 2 - Privacy concepts and studies
Link	NOC:Online Privacy	Lecture 3 - Fair Information Practices
Link	NOC:Online Privacy	Lecture 4 - Right to Privacy Contextual Integrity
Link	NOC:Online Privacy	Lecture 5 - Privacy Policy - Part I
Link	NOC:Online Privacy	Lecture 6 - Privacy Policy - Part II
Link	NOC:Online Privacy	Lecture 7 - Privacy-based technologies and decision making
Link	NOC:Online Privacy	Lecture 8 - Social Media Privacy
Link	NOC:Online Privacy	Lecture 9 - Identity resolution
Link	NOC:Online Privacy	Lecture 10 - Privacy Nudges
Link	NOC:Online Privacy	Lecture 11 - Cookies
Link	NOC:Online Privacy	Lecture 12 - Ethics about studying Online Privacy
Link	NOC:Online Privacy	Lecture 13 - Anonymization techniques and Differential Privacy
Link	NOC:Online Privacy	Lecture 14 - Conducting (user, lab, online) studies
Link	NOC:Online Privacy	Lecture 15 - Research paper reading
Link	NOC:Online Privacy	Lecture 16 - Voter and Browser Privacy Leaks, Profiling form PII - Part I
Link	NOC:Online Privacy	Lecture 17 - Voter and Browser Privacy Leaks, Profiling form PII - Part II
Link	NOC:Online Privacy	Lecture 18 - Online Privacy Tools (Hands-on) - Part I
Link	NOC:Online Privacy	Lecture 19 - Online Privacy Tools (Hands-on) - Part II
Link	NOC:Online Privacy	Lecture 20 - Mobile numbers, home location, Location-based social networks
Link	NOC:Online Privacy	Lecture 21 - Location-based social networks
Link	NOC:Online Privacy	Lecture 22 - Privacy laws and regulations - Part I
Link	NOC:Online Privacy	Lecture 23 - Privacy laws and regulations - Part II
Link	NOC:Online Privacy	Lecture 24 - Privacy standards
Link	NOC:Online Privacy	Lecture 25 - Look back
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 1 - Paradigms of Machine Learning
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 2 - Few more examples
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 3 - Types of Learning
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 4 - Types of supervised learning
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 5 - Mathematical tools
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 6 - Three Fundamental spaces
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 7 - Conditional Probability
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 8 - Bayes Theorem
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 9 - Continuous Probability
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 10 - Introduction to vectors
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 11 - Span of vectors
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 12 - Linear Independence
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 13 - Basis of vector space
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 14 - Orthogonality and Projection
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 15 - Introduction to Regression
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 16 - Linear regression
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 17 - Geometrical Interpretation
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 18 - Visual Guide to Orthogonal Projection
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 19 - Iterative solution: Gradient descent
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 20 - Gradient Descent
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 21 - Choosing Step size
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 22 - Taylor Series
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 23 - Stochastic Gradient Descent and basis functions
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 24 - Regularization Techniques
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 25 - Binary Classification
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 26 - K-Nearest Neighbour Classification
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 27 - Distance metric and Cross-Validation
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 28 - Computational efficiency of KNN
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 29 - Introduction to Decision Trees
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 30 - Level splitting
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 31 - Measure of Impurity
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 32 - Entropy and Information Gain
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 33 - Generative vs Discriminative models
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 34 - Naive Bayes classifier
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 35 - Conditional Independence
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 36 - Classifying the test point and summary
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 37 - Discriminative models
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 38 - Logistic Regression
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 39 - Summary and big picture
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 40 - Maximum likelihood estimation
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 41 - Linear separability
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 42 - Perceptron and its learning algorithm
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 43 - Perceptron : A thing of past
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 44 - Support Vector Machine
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 45 - Optimizing weights
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 46 - Handling Outliers
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 47 - Dual Formulation
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 48 - Kernel formulation
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 49 - Introduction to Ensemble methods
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 50 - Bagging
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 51 - Bootstrapping
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 52 - Limitations of bagging
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 53 - Introduction to boosting
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 54 - Ada boost
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 55 - Unsupervised learning
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 56 - K-means Clustering
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 57 - LLyod's Algorithms
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 58 - Convergence and Initialization
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 59 - Representation Learning
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 60 - Orthogonal Projection
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 61 - Covariance Matrix and Eigen direction
Link	NOC:Introduction to Machine Learning (Tamil)	Lecture 62 - PCA and mean centering
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 1 - Introduction - Part 1, Programming languages and compilers
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 2 - Introduction - Part 2, Language translators
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 3 - Introduction - Part 3, Phases of a compiler
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 4 - Introduction - Part 4, Static vs Dynamic contexts,Parameter passing
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 5 - Lexing - Part 1, Terminology, Regex, flex tool- Part 1
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 6 - Lexing - Part 2, Lexical errors, Input buffering
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 7 - flex tool- Part 2
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 8 - Lexing - Part 3, Lookahead, KMP string matching
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 9 - Lexing - Part 4, Regex to DFA conversion - Part 1
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 10 - Lexing - Part 5, Regex to DFA conversion - Part 2, Prasing - Part 1
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 11 - Parsing - Part 2, CFG, Parse tree, Precedence, Ambiguity
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 12 - flex tool - Part 3
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 13 - Parsing - Part 3, Sentinel forms, Error recovery, if-else ambiguity
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 14 - Parsing - Part 4, Left recursion, Recursive descent parsing
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 15 - Parsing - Part 5, First and Follow, Predicitive parsing table
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 16 - Parsing - Part 6, Predictive parsing table, LL(1) grammars
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 17 - Discussions and doubts clarification - Part 1
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 18 - Parsing - Part 6, Bottom-up, Shift-reduce parsing, SLR parsing
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 19 - Parsing - Part 6, LR(0) automaton, SLR parsing using automaton
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 20 - Parsing - Part 7, SLR(1) parsing table, SLR(1) parsing algorithm
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 21 - Parsing - Part 8, Viable prefixes, LR(1) parsing, LR(1) automaton
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 22 - Parsing - Part 9, LALR parsing, SDT- Part 1, attributes
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 23 - Syntax Directed Translation - Part 2, S- and L-attributed SDD
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 24 - Syntax Directed Translation - Part 3, L-attributed SDD, Applications
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 25 - Syntax Directed Translation - Part 4, Actions within productions
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 26 - Discussions and doubts clarification - Part 2
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 27 - Quiz-1 discussion, SDT - Part 5, Code generation for while loop
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 28 - Intermdiate Code Generation - Part 1, Syntax trees and DAGs
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 29 - Intermdiate Code Generation - Part 2, Three-address code
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 30 - Discussions and doubts clarification Part 3
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 31 - Intermdiate Code Generation - Part 3, Static single assignment
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 32 - Intermdiate Code Generation - Part 4, IR for type expressions
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 33 - Intermdiate Code Generation - Part 4, IR for array expressions
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 34 - Intermdiate Code Generation - Part 4, IR for boolean expressions
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 35 - Intermdiate Code Generation - Part 4, IR for break, continue, switch
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 36 - Code Generator - Part 1, Introduction, IR and target code
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 37 - Code Generator - Part 2, Instruction selection, ordering
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 38 - Code Generator - Part 2, Basic blocks and CFG
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 39 - x86 assembly code
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 40 - Code optimizer - Part 1, Local optimizations within a basic block
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 41 - Code optimizer - Part 2, Array references, Peephole optimization
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 42 - Discussions and doubts clarification - Part 4
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 43 - Code optimizer - Part 3, Register allocation, Liveness
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 44 - Code optimizer - Part 4, Register allocation as graph coloring
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 45 - Discussions and doubts clarification - Part 5
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 46 - Code optimizer - Part 5, Data flow analysis, Reaching definitions
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 47 - Discussions and doubts clarification - Part 6
Link	Compiler Design (Prof. Rupesh Nasre)	Lecture 48 - Code optimizer - Part 6, DFA for reaching definitions,Live variables
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 1 - Introduction to AI Systems Hardware - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 2 - Introduction to AI Systems Hardware - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 3 - Introduction to AI Accelerators, GPUs
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 4 - Introduction to Operating Systems, Virtualization, Cloud - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 5 - Introduction to Operating Systems, Virtualization, Cloud - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 6 - Introduction to Containers and IDE Dockers - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 7 - Introduction to Containers and IDE Dockers - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 8 - Scheduling and Resource Management - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 9 - Scheduling and Resource Management - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 10 - DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 11 - DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 12 - DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services Session II - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 13 - DeepOps: Deep Dive into Kubernetes with deployment of various AI based Services Session II - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 14 - Design principles for Building High Performance Clusters - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 15 - Design principles for Building High Performance Clusters - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 16 - Design principles for Building High Performance Clusters - Part 3
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 17 - Design principles for Building High Performance Clusters - Part 4
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 18 - Introduction to Pytorch - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 19 - Introduction to Pytorch - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 20 - Introduction to Pytorch - Part 3
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 21 - Introduction to Pytorch - Part 4
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 22 - Profiling with DLProf Pytorch Catalyst - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 23 - Profiling with DLProf Pytorch Catalyst - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 24 - Introduction to TensorFlow - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 25 - Introduction to TensorFlow - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 26 - Accelerated TensorFlow - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 27 - Accelerated TensorFlow - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 28 - Accelerated TensorFlow - XLA Approach - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 29 - Accelerated TensorFlow - XLA Approach - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 30 - Optimizing Deep learning Training: Automatic Mixed Precision - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 31 - Optimizing Deep learning Training: Automatic Mixed Precision - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 32 - Optimizing Deep learning Training: Transfer Learning - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 33 - Optimizing Deep learning Training: Transfer Learning - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 34 - Fundamentals of Distributed AI Computing Session 1 - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 35 - Fundamentals of Distributed AI Computing Session 1 - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 36 - Fundamentals of Distributed AI Computing Session 2 - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 37 - Fundamentals of Distributed AI Computing Session 2 - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 38 - Distributed Deep Learning using Tensorflow and Horovod
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 39 - Challenges with Distributed Deep Learning Training Convergence
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 40 - Fundamentals of Accelerating Deployment - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 41 - Fundamentals of Accelerating Deployment - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 42 - Accelerating neural network inference in PyTorch and TensorFlow - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 43 - Accelerating neural network inference in PyTorch and TensorFlow - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 44 - Accelerated Data Analytics - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 45 - Accelerated Data Analytics - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 46 - Accelerated Data Analytics - Part 3
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 47 - Accelerated Data Analytics - Part 4
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 48 - Accelerated Machine Learning
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 49 - Scale Out with DASK
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 50 - Web visualizations to GPU accelerated crossfiltering - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 51 - Web visualizations to GPU accelerated crossfiltering - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 52 - Accelerated ETL Pipeline with SPARK - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 53 - Accelerated ETL Pipeline with SPARK - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 54 - Applied AI: Smart City (Intelligent Video Analytics) Session 1 - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 55 - Applied AI: Smart City (Intelligent Video Analytics) Session 1 - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 56 - Applied AI: Smart City (Intelligent Video Analytics) Session 2 Deepstream - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 57 - Applied AI: Smart City (Intelligent Video Analytics) Session 2 Deepstream - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 58 - Applied AI: Health care Session I - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 59 - Applied AI: Health care Session I - Part 2
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 60 - Applied AI: Health care Session II - Part 1
Link	NOC:Applied Accelerated Artificial Intelligence	Lecture 61 - Applied AI: Health care Session II - Part 2
Link	NOC:Social Network Analysis	Lecture 1 - Chapter 1 Lecture 1
Link	NOC:Social Network Analysis	Lecture 2 - Chapter 1 Lecture 2
Link	NOC:Social Network Analysis	Lecture 3 - Chapter 1 Lecture 3
Link	NOC:Social Network Analysis	Lecture 4 - Tutorial 1: Introduction to Python/Colab
Link	NOC:Social Network Analysis	Lecture 5 - Tutorial 2: Introduction to NetworkX - Part I
Link	NOC:Social Network Analysis	Lecture 6 - Chapter 2 Lecture 1
Link	NOC:Social Network Analysis	Lecture 7 - Chapter 2 Lecture 2
Link	NOC:Social Network Analysis	Lecture 8 - Chapter 2 Lecture 3
Link	NOC:Social Network Analysis	Lecture 9 - Chapter 2 Lecture 4
Link	NOC:Social Network Analysis	Lecture 10 - Chapter 2 Lecture 5
Link	NOC:Social Network Analysis	Lecture 11 - Chapter 2 Lecture 6
Link	NOC:Social Network Analysis	Lecture 12 - Tutorial 3: Introduction to NetworkX - Part II
Link	NOC:Social Network Analysis	Lecture 13 - Chapter 3 Lecture 1
Link	NOC:Social Network Analysis	Lecture 14 - Chapter 3 Lecture 2
Link	NOC:Social Network Analysis	Lecture 15 - Chapter 3 Lecture 3
Link	NOC:Social Network Analysis	Lecture 16 - Chapter 3 Lecture 4
Link	NOC:Social Network Analysis	Lecture 17 - Chapter 3 Lecture 5
Link	NOC:Social Network Analysis	Lecture 18 - Chapter 3 Lecture 6
Link	NOC:Social Network Analysis	Lecture 19 - Chapter 3 Lecture 7
Link	NOC:Social Network Analysis	Lecture 20 - Chapter 4 Lecture 1
Link	NOC:Social Network Analysis	Lecture 21 - Chapter 4 Lecture 2
Link	NOC:Social Network Analysis	Lecture 22 - Chapter 4 Lecture 3
Link	NOC:Social Network Analysis	Lecture 23 - Chapter 4 Lecture 4
Link	NOC:Social Network Analysis	Lecture 24 - Chapter 4 Lecture 5
Link	NOC:Social Network Analysis	Lecture 25 - Chapter 4 Lecture 6
Link	NOC:Social Network Analysis	Lecture 26 - Tutorial 4
Link	NOC:Social Network Analysis	Lecture 27 - Chapter 5 Lecture 1
Link	NOC:Social Network Analysis	Lecture 28 - Chapter 5 Lecture 2
Link	NOC:Social Network Analysis	Lecture 29 - Chapter 5 Lecture 3
Link	NOC:Social Network Analysis	Lecture 30 - Chapter 5 Lecture 4
Link	NOC:Social Network Analysis	Lecture 31 - Chapter 5 Lecture 5
Link	NOC:Social Network Analysis	Lecture 32 - Chapter 5 Lecture 6
Link	NOC:Social Network Analysis	Lecture 33 - Chapter 5 Lecture 7
Link	NOC:Social Network Analysis	Lecture 34 - Chapter 5 Lecture 8
Link	NOC:Social Network Analysis	Lecture 35 - Chapter 5 Lecture 9
Link	NOC:Social Network Analysis	Lecture 36 - Chapter 5 Lecture 10
Link	NOC:Social Network Analysis	Lecture 37 - Chapter 6 Lecture 1
Link	NOC:Social Network Analysis	Lecture 38 - Chapter 6 Lecture 2
Link	NOC:Social Network Analysis	Lecture 39 - Chapter 6 Lecture 3
Link	NOC:Social Network Analysis	Lecture 40 - Chapter 6 Lecture 4
Link	NOC:Social Network Analysis	Lecture 41 - Chapter 6 Lecture 5
Link	NOC:Social Network Analysis	Lecture 42 - Chapter 7 Lecture 1
Link	NOC:Social Network Analysis	Lecture 43 - Chapter 7 Lecture 2
Link	NOC:Social Network Analysis	Lecture 44 - Chapter 7 Lecture 3
Link	NOC:Social Network Analysis	Lecture 45 - Chapter 7 Lecture 4
Link	NOC:Social Network Analysis	Lecture 46 - Chapter 7 Lecture 5
Link	NOC:Social Network Analysis	Lecture 47 - Chapter 7 Lecture 6
Link	NOC:Social Network Analysis	Lecture 48 - Chapter 7 Lecture 7
Link	NOC:Social Network Analysis	Lecture 49 - Chapter 7 Lecture 8
Link	NOC:Social Network Analysis	Lecture 50 - chapter 8 Lecture 1
Link	NOC:Social Network Analysis	Lecture 51 - chapter 8 Lecture 2
Link	NOC:Social Network Analysis	Lecture 52 - Chapter 8 Lecture 3
Link	NOC:Social Network Analysis	Lecture 53 - Chapter 8 Lecture 4
Link	NOC:Social Network Analysis	Lecture 54 - Chapter 8 Lecture 5
Link	NOC:Social Network Analysis	Lecture 55 - Chapter 8 Lecture 6
Link	NOC:Social Network Analysis	Lecture 56 - Chapter 9 Lecture 1
Link	NOC:Social Network Analysis	Lecture 57 - Chapter 9 Lecture 2
Link	NOC:Social Network Analysis	Lecture 58 - Chapter 9 Lecture 3
Link	NOC:Social Network Analysis	Lecture 59 - Chapter 9 Lecture 4
Link	NOC:Social Network Analysis	Lecture 60 - Chapter 9 Lecture 5
Link	NOC:Social Network Analysis	Lecture 61 - Chapter 9 Lecture 6
Link	NOC:Social Network Analysis	Lecture 62 - Chapter 9 Lecture 7
Link	NOC:Social Network Analysis	Lecture 63 - Chapter 9 Lecture 8
Link	NOC:Social Network Analysis	Lecture 64 - Chapter 9 Lecture 9
Link	NOC:Social Network Analysis	Lecture 65 - Chapter 9 Lecture 10
Link	NOC:Social Network Analysis	Lecture 66 - Chapter 9 Lecture 11
Link	NOC:Social Network Analysis	Lecture 67 - Tutorial 5
Link	NOC:Social Network Analysis	Lecture 68 - Chapter 10 Lecture 1
Link	NOC:Social Network Analysis	Lecture 69 - Chapter 10 Lecture 2
Link	NOC:Social Network Analysis	Lecture 70 - Chapter 10 Lecture 3
Link	NOC:Social Network Analysis	Lecture 71 - Chapter 10 Lecture 4
Link	NOC:Social Network Analysis	Lecture 72 - Chapter 10 Lecture 5
Link	NOC:Social Network Analysis	Lecture 73 - Conclusion - Panel discussion
Link	NOC:Social Network Analysis	Lecture 74 - Conclusion
Link	NOC:Quantum Algorithms and Cryptography	Lecture 1 - Quantum Algorithms and Cryptography
Link	NOC:Quantum Algorithms and Cryptography	Lecture 2 - Basics of Quantum Information - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 3 - Basics of Quantum Information - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 4 - Computation and No-Cloning - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 5 - Computation and No-Cloning - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 6 - Computation and No-Cloning - Part 3
Link	NOC:Quantum Algorithms and Cryptography	Lecture 7 - Going beyond classical - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 8 - Going beyond classical - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 9 - Going beyond classical - Part 3
Link	NOC:Quantum Algorithms and Cryptography	Lecture 10 - Going beyond classical- Deutsch and Deutsch-Jozsa - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 11 - Going beyond classical- Deutsch and Deutsch-Jozsa - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 12 - Simon's and Bernstein's Vazirani Algorithm - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 13 - Simon's and Bernstein's Vazirani Algorithm - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 14 - Introduction to Cryptography - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 15 - Introduction to Cryptography - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 16 - Introduction to Cryptography - Part 3
Link	NOC:Quantum Algorithms and Cryptography	Lecture 17 - Building Cryptography - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 18 - Building Cryptography - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 19 - Building Cryptography - Part 3
Link	NOC:Quantum Algorithms and Cryptography	Lecture 20 - Building Cryptography - Part 4
Link	NOC:Quantum Algorithms and Cryptography	Lecture 21 - Building Cryptography - Part 5
Link	NOC:Quantum Algorithms and Cryptography	Lecture 22 - Building Public Key Encryption - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 23 - Building Public Key Encryption - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 24 - RSA Encryption - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 25 - RSA Encryption - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 26 - Finishing RSA, Fourier Transform - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 27 - Finishing RSA, Fourier Transform - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 28 - Finishing RSA, Fourier Transform - Part 3
Link	NOC:Quantum Algorithms and Cryptography	Lecture 29 - Grover's Algorithm - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 30 - Grover's Algorithm - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 31 - Grover's Algorithm - Part 3
Link	NOC:Quantum Algorithms and Cryptography	Lecture 32 - Simon's Algorithm over Z_n - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 33 - Simon's Algorithm over Z_n - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 34 - Simon's Algorithm over Z_n - Part 3
Link	NOC:Quantum Algorithms and Cryptography	Lecture 35 - Simon's Algorithm over Z_n - Part 4
Link	NOC:Quantum Algorithms and Cryptography	Lecture 36 - Simon's Algorithm over Z_n - Part 5
Link	NOC:Quantum Algorithms and Cryptography	Lecture 37 - Simon's Algorithm over Z_n - Part 6
Link	NOC:Quantum Algorithms and Cryptography	Lecture 38 - Shor's Algorithm - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 39 - Shor's Algorithm - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 40 - Hidden Subgroup Problem - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 41 - Hidden Subgroup Problem - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 42 - Introduction to Lattices - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 43 - Introduction to Lattices - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 44 - Public Key Encryption from LWE - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 45 - Public Key Encryption from LWE - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 46 - Public Key Encryption from LWE - Part 3
Link	NOC:Quantum Algorithms and Cryptography	Lecture 47 - Fully Homomorphic Encryption - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 48 - Fully Homomorphic Encryption - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 49 - Fully Homomorphic Encryption - Part 3
Link	NOC:Quantum Algorithms and Cryptography	Lecture 50 - Quantum Cryptography - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 51 - Quantum Cryptography - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 52 - Quantum Cryptography - Part 3
Link	NOC:Quantum Algorithms and Cryptography	Lecture 53 - Quantum Cryptography - Part 4
Link	NOC:Quantum Algorithms and Cryptography	Lecture 54 - Quantum Cryptography - Part 5
Link	NOC:Quantum Algorithms and Cryptography	Lecture 55 - Quantum PKE and FHE - Part 1
Link	NOC:Quantum Algorithms and Cryptography	Lecture 56 - Quantum PKE and FHE - Part 2
Link	NOC:Quantum Algorithms and Cryptography	Lecture 57 - Quantum PKE and FHE - Part 3
Link	NOC:Quantum Algorithms and Cryptography	Lecture 58 - Quantum PKE and FHE - Part 4
Link	NOC:Quantum Algorithms and Cryptography	Lecture 59 - Quantum PKE and FHE - Part 5
Link	NOC:Theory of Computation (2023)	Lecture 1 - An Introduction to The Theory of Computation
Link	NOC:Theory of Computation (2023)	Lecture 2 - Notations and Terminology in Theory of Computation
Link	NOC:Theory of Computation (2023)	Lecture 3 - An Introduction to Finite Automata and Regular Languages - Part 1
Link	NOC:Theory of Computation (2023)	Lecture 4 - An Introduction to Finite Automata and Regular Languages - Part 2
Link	NOC:Theory of Computation (2023)	Lecture 5 - Significance of Regular Languages and Regular Operations
Link	NOC:Theory of Computation (2023)	Lecture 6 - Closure Properties of Regular Languages Under Union, Concatenation and Kleene Star Operation - Part 1
Link	NOC:Theory of Computation (2023)	Lecture 7 - Closure Properties of Regular Languages Under Union, Concatenation and Kleene Star Operation - Part 2
Link	NOC:Theory of Computation (2023)	Lecture 8 - An Introduction to Non-Deterministic Finite Automata (NFA)
Link	NOC:Theory of Computation (2023)	Lecture 9 - Formal Definitions and Examples of Non-Deterministic Finite Automata (NFA)
Link	NOC:Theory of Computation (2023)	Lecture 10 - Equivalence of NFA and DFA
Link	NOC:Theory of Computation (2023)	Lecture 11 - Closure of Regular Languages Under Regular Operations (Using NFA)
Link	NOC:Theory of Computation (2023)	Lecture 12 - Regular Expressions - Part 1
Link	NOC:Theory of Computation (2023)	Lecture 13 - Regular Expressions - Part 2
Link	NOC:Theory of Computation (2023)	Lecture 14 - Proving Equivalence of Regular Expression and DFA Through a GNFA
Link	NOC:Theory of Computation (2023)	Lecture 15 - Pumping Lemma for Regular Languages - Part 1
Link	NOC:Theory of Computation (2023)	Lecture 16 - Pumping Lemma for Regular Languages - Part 2
Link	NOC:Theory of Computation (2023)	Lecture 17 - Distinguishability of Strings and Myhill-Nerode Theorem
Link	NOC:Theory of Computation (2023)	Lecture 18 - Proving the Myhill-Nerode Theorem
Link	NOC:Theory of Computation (2023)	Lecture 19 - An Introduction to Context-Free Languages - Part 1
Link	NOC:Theory of Computation (2023)	Lecture 20 - An Introduction to Context-Free Languages - Part 2
Link	NOC:Theory of Computation (2023)	Lecture 21 - Chomsky Normal Form
Link	NOC:Theory of Computation (2023)	Lecture 22 - CYK Algorithm - Part 1
Link	NOC:Theory of Computation (2023)	Lecture 23 - CYK Algorithm - Part 2 (Example)
Link	NOC:Theory of Computation (2023)	Lecture 24 - Closure Properties of Context Free Languages
Link	NOC:Theory of Computation (2023)	Lecture 25 - An Introduction to Push Down Automata
Link	NOC:Theory of Computation (2023)	Lecture 26 - Normalizations in PDA and Intersection of Regular Language and CFL
Link	NOC:Theory of Computation (2023)	Lecture 27 - Equivalence of Context Free Grammars and Push Down Automata - Part 1
Link	NOC:Theory of Computation (2023)	Lecture 28 - Equivalence of Context Free Grammars and Push Down Automata - Part 2
Link	NOC:Theory of Computation (2023)	Lecture 29 - Equivalence of Context Free Grammars and Push Down Automata - Part 3
Link	NOC:Theory of Computation (2023)	Lecture 30 - Pumping Lemma for Context Free Languages
Link	NOC:Theory of Computation (2023)	Lecture 31 - Examples of Pumping Lemma Usage for Context Free Languages
Link	NOC:Theory of Computation (2023)	Lecture 32 - Formal Definition of a Turing Machine
Link	NOC:Theory of Computation (2023)	Lecture 33 - Turing Recognizable and Decidable Languages and TM Examples
Link	NOC:Theory of Computation (2023)	Lecture 34 - Multitape Turing Machine
Link	NOC:Theory of Computation (2023)	Lecture 35 - Non-Deterministic Turing Machines
Link	NOC:Theory of Computation (2023)	Lecture 36 - Equivalence of Deterministic and Nondeterministic TM
Link	NOC:Theory of Computation (2023)	Lecture 37 - Church-Turing Thesis
Link	NOC:Theory of Computation (2023)	Lecture 38 - Decidable Problems Concerning Regular Languages
Link	NOC:Theory of Computation (2023)	Lecture 39 - Decidable Problems Concerning Context Free Languages
Link	NOC:Theory of Computation (2023)	Lecture 40 - Countability of Sets
Link	NOC:Theory of Computation (2023)	Lecture 41 - Proof of Existence of Undecidable Languages
Link	NOC:Theory of Computation (2023)	Lecture 42 - Halting Problem
Link	NOC:Theory of Computation (2023)	Lecture 43 - Co-Turing Recognizability
Link	NOC:Theory of Computation (2023)	Lecture 44 - An Introduction to Mapping Reducibility
Link	NOC:Theory of Computation (2023)	Lecture 45 - Examples of Proving Undecidability Using Reductions
Link	NOC:Theory of Computation (2023)	Lecture 46 - Rice Theorem
Link	NOC:Theory of Computation (2023)	Lecture 47 - Computation Histories
Link	NOC:Theory of Computation (2023)	Lecture 48 - The Post Correspondence Problem
Link	NOC:Theory of Computation (2023)	Lecture 49 - Checking Ambiguity in CFG is Undecidable
Link	NOC:Theory of Computation (2023)	Lecture 50 - Time Complexity - Part 1
Link	NOC:Theory of Computation (2023)	Lecture 51 - Time Complexity - Part 2
Link	NOC:Theory of Computation (2023)	Lecture 52 - Non-Deterministic Polynomial Time - Part 1
Link	NOC:Theory of Computation (2023)	Lecture 53 - Non-Deterministic Polynomial Time - Part 2
Link	NOC:Theory of Computation (2023)	Lecture 54 - Verifiability and NP
Link	NOC:Theory of Computation (2023)	Lecture 55 - Polynomial Time Reductions - Part 1
Link	NOC:Theory of Computation (2023)	Lecture 56 - Polynomial Time Reductions - Part 2
Link	NOC:Theory of Computation (2023)	Lecture 57 - NP-Completeness
Link	NOC:Theory of Computation (2023)	Lecture 58 - Cook-Levin Theorem
Link	NOC:Theory of Computation (2023)	Lecture 59 - Cook-Levin Theorem - Proof and Implications
Link	NOC:Theory of Computation (2023)	Lecture 60 - CLIQUE and VERTEX-COVER is NP-Complete
Link	NOC:Theory of Computation (2023)	Lecture 61 - HAM-PATH is NP-Complete
Link	NOC:Theory of Computation (2023)	Lecture 62 - SUBSET-SUM is NP-Complete
Link	NOC:Theory of Computation (2023)	Lecture 63 - Knapsack Problem
Link	NOC:Theory of Computation (2023)	Lecture 64 - Integer Linear Program is NP-Complete
Link	NOC:Theory of Computation (2023)	Lecture 65 - Space Complexity and its Complexity Classes
Link	NOC:Theory of Computation (2023)	Lecture 66 - Logspace Reductions and NL-Completeness
Link	NOC:Theory of Computation (2023)	Lecture 67 - Savitch's theorem
Link	NOC:Theory of Computation (2023)	Lecture 68 - Results in Space Complexity
Link	NOC:Theory of Computation (2023)	Lecture 69 - Summary and Concluding Remarks
Link	NOC:Advanced Computer Networks	Lecture 1 - An Introduction to High Performance Switching and Routing - Part 1
Link	NOC:Advanced Computer Networks	Lecture 2 - An Introduction to High Performance Switching and Routing - Part 2
Link	NOC:Advanced Computer Networks	Lecture 3 - IP Table Lookup - Part 1
Link	NOC:Advanced Computer Networks	Lecture 4 - IP Table Lookup - Part 2
Link	NOC:Advanced Computer Networks	Lecture 5 - IP Table Lookup: Trie Based Data Structures - Part 1
Link	NOC:Advanced Computer Networks	Lecture 6 - IP Table Lookup: Trie Based Data Structures - Part 2
Link	NOC:Advanced Computer Networks	Lecture 7 - IP Table Lookup: Optimized Trie based Data Structures - Part 1
Link	NOC:Advanced Computer Networks	Lecture 8 - IP Table Lookup: Optimized Trie based Data Structures - Part 2
Link	NOC:Advanced Computer Networks	Lecture 9 - Packet Classification - Part 1
Link	NOC:Advanced Computer Networks	Lecture 10 - Packet Classification - Part 2
Link	NOC:Advanced Computer Networks	Lecture 11 - Packet Classification - Part 3
Link	NOC:Advanced Computer Networks	Lecture 12 - Packet Classification Implementation - Part 1
Link	NOC:Advanced Computer Networks	Lecture 13 - Packet Classification Implementation - Part 2
Link	NOC:Advanced Computer Networks	Lecture 14 - Traffic Management - Part 1
Link	NOC:Advanced Computer Networks	Lecture 15 - Traffic Management - Part 2
Link	NOC:Advanced Computer Networks	Lecture 16 - Traffic Management - Part 3
Link	NOC:Advanced Computer Networks	Lecture 17 - Traffic Management - Part 4
Link	NOC:Advanced Computer Networks	Lecture 18 - Traffic Management - Part 5
Link	NOC:Advanced Computer Networks	Lecture 19 - Traffic Management - Part 6
Link	NOC:Advanced Computer Networks	Lecture 20 - Traffic Management - Part 7
Link	NOC:Advanced Computer Networks	Lecture 21 - Packet Switching Fabric Design - Part 1
Link	NOC:Advanced Computer Networks	Lecture 22 - Packet Switching Fabric Design - Part 2
Link	NOC:Advanced Computer Networks	Lecture 23 - Introduction to Network Softwarization
Link	NOC:Advanced Computer Networks	Lecture 24 - Internet Impasse and Nework Ossification
Link	NOC:Advanced Computer Networks	Lecture 25 - Network Ossification
Link	NOC:Advanced Computer Networks	Lecture 26 - Network Virtualization - Part 1
Link	NOC:Advanced Computer Networks	Lecture 27 - Network Virtualization - Part 2
Link	NOC:Advanced Computer Networks	Lecture 28 - Road to SDN
Link	NOC:Advanced Computer Networks	Lecture 29 - Active Networks
Link	NOC:Advanced Computer Networks	Lecture 30 - Data and Control Plane Separation
Link	NOC:Advanced Computer Networks	Lecture 31 - Control Plane Abstractions
Link	NOC:Advanced Computer Networks	Lecture 32 - Software Defined Networking - I
Link	NOC:Advanced Computer Networks	Lecture 33 - Software Defined Networking - II
Link	NOC:Advanced Computer Networks	Lecture 34 - Software Defined Networking - III
Link	NOC:Advanced Computer Networks	Lecture 35 - OpenFlow
Link	NOC:Advanced Computer Networks	Lecture 36 - SND Prospects and Challenges
Link	NOC:Advanced Computer Networks	Lecture 37 - Introduction to Network Function Virtualization - I
Link	NOC:Advanced Computer Networks	Lecture 38 - Introduction to Network Function Virtualization - II
Link	NOC:Advanced Computer Networks	Lecture 39 - Network Function Virtualization - Concepts, Framework and Architecture - I
Link	NOC:Advanced Computer Networks	Lecture 40 - Network Function Virtualization - Concepts, Framework and Architecture - II
Link	NOC:Advanced Computer Networks	Lecture 41 - Network Function Virtualization - Road ahead and Key challenges
Link	NOC:Advanced Computer Networks	Lecture 42 - High Performance Network Packet Processing
Link	NOC:Advanced Computer Networks	Lecture 43 - Summary and Comparision of NFV and SDN
Link	NOC:Advanced Computer Networks	Lecture 44 - Programmable Networks - Data Plane Programmability - Overview I
Link	NOC:Advanced Computer Networks	Lecture 45 - Programmable Networks - Data Plane Programmability - Overview II
Link	NOC:Advanced Computer Networks	Lecture 46 - Reconfigurable Match Action Tables
Link	NOC:Advanced Computer Networks	Lecture 47 - P4 Programming
Link	NOC:Advanced Computer Networks	Lecture 48 - Data Center Networking - Introduction - Part 1
Link	NOC:Advanced Computer Networks	Lecture 49 - Data Center Networking - Introduction - Part 2
Link	NOC:Advanced Computer Networks	Lecture 50 - Data Center Networking - Characteristics and Challenges
Link	NOC:Advanced Computer Networks	Lecture 51 - Data Center Networking - Topologies and Architecture - Part 1
Link	NOC:Advanced Computer Networks	Lecture 52 - Data Center Networking - Topologies and Architecture - Part 2
Link	NOC:Advanced Computer Networks	Lecture 53 - Data Center Networking - Protocol Innovations - Part 1
Link	NOC:Advanced Computer Networks	Lecture 54 - Data Center Networking - Protocol Innovations - Part 2
Link	NOC:Advanced Computer Networks	Lecture 55 - Network Telemetry
Link	NOC:Advanced Computer Networks	Lecture 56 - Serverless Computing - Part 1
Link	NOC:Advanced Computer Networks	Lecture 57 - Serverless Computing - Part 2
Link	NOC:Advanced Computer Networks	Lecture 58 - SmartNICs and In-band Network Telemetry, Future of Network Softwarization, SDN 3.0
Link	NOC:Advanced Computer Networks	Lecture 59 - QUIC
Link	NOC:Advanced Computer Networks	Lecture 60 - Green and Sustainable Data Centers
Link	NOC:Advanced Computer Networks	Lecture 61 - Content Distribution in IP Networks - Part 1
Link	NOC:Advanced Computer Networks	Lecture 62 - Content Distribution in IP Networks - Part 2
Link	NOC:Advanced Computer Networks	Lecture 63 - Information Centric Networking - Part 1
Link	NOC:Advanced Computer Networks	Lecture 64 - Information Centric Networking - Part 2
Link	NOC:Advanced Computer Networks	Lecture 65 - Information Centric Networking - Part 3
Link	NOC:Advanced Computer Networks	Lecture 66 - Named Data Networking - Part 1
Link	NOC:Advanced Computer Networks	Lecture 67 - Named Data Networking - Part 2
Link	NOC:Affective Computing	Lecture 1 - Fundamentals of Affective computing
Link	NOC:Affective Computing	Lecture 2 - Fundamentals of Affective computing Applications
Link	NOC:Affective Computing	Lecture 3 - Emotion Psychology
Link	NOC:Affective Computing	Lecture 4 - Emotion Theory
Link	NOC:Affective Computing	Lecture 5 - Brain and Asymmetry
Link	NOC:Affective Computing	Lecture 6 - Emotional Design
Link	NOC:Affective Computing	Lecture 7 - Affect Elicitation
Link	NOC:Affective Computing	Lecture 8 - Experimental Methodology
Link	NOC:Affective Computing	Lecture 9 - Tutorial
Link	NOC:Affective Computing	Lecture 10 - Introduction to Facial Expression Recognition
Link	NOC:Affective Computing	Lecture 11 - Facial Feature Extraction
Link	NOC:Affective Computing	Lecture 12 - Group Level Emotion
Link	NOC:Affective Computing	Lecture 13 - Applications of Facial Expression Recognition
Link	NOC:Affective Computing	Lecture 14 - Tutorial
Link	NOC:Affective Computing	Lecture 15 - Tutorial
Link	NOC:Affective Computing	Lecture 16
Link	NOC:Affective Computing	Lecture 17
Link	NOC:Affective Computing	Lecture 18
Link	NOC:Affective Computing	Lecture 19
Link	NOC:Affective Computing	Lecture 20 - Tutorial
Link	NOC:Affective Computing	Lecture 21 - Emotions in Physiological Signals
Link	NOC:Affective Computing	Lecture 22 - Tutorial
Link	NOC:Affective Computing	Lecture 23 - Emotions via Skin Conductance
Link	NOC:Affective Computing	Lecture 24 - Emotions Via EEG
Link	NOC:Affective Computing	Lecture 25 - Multimodal Affect Recognition
Link	NOC:Affective Computing	Lecture 26 - Multimodal Analysis
Link	NOC:Affective Computing	Lecture 27 - MM Tutorial
Link	NOC:Affective Computing	Lecture 28 - Tutorial
Link	NOC:Affective Computing	Lecture 29
Link	NOC:Affective Computing	Lecture 30
Link	NOC:Affective Computing	Lecture 31
Link	NOC:Affective Computing	Lecture 32 - Emotionally Intelligent Machines - Part 1
Link	NOC:Affective Computing	Lecture 33 - Emotionally Intelligent Machines - Part 2
Link	NOC:Affective Computing	Lecture 34 - Case Study
Link	NOC:Affective Computing	Lecture 35
Link	NOC:Affective Computing	Lecture 36
Link	NOC:Affective Computing	Lecture 37 - Ethics in Affective Computing - 1
Link	NOC:Affective Computing	Lecture 38 - Ethics in Affective Computing - 2
Link	NOC:Affective Computing	Lecture 39 - Course Finale
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 1 - Basics of Linear Algebra: Linear Independence
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 2 - Linear Algebra: Rank of a matrix
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 3 - Linear Algebra - Subspaces of a matrix - 1
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 4 - Linear Algebra - Subspaces of a matrix - 2
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 5 - Linear Algebra - Null space
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 6 - Linear Algebra - Eigen Vectors/Values of a matrix - 1
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 7 - Linear Algebra - Eigen Vectors/Values of a matrix - 2
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 8 - Programming Eigen Decomposition using Python
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 9 - Singular Value Decomposition - 1
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 10 - Singular Value Decomposition - 2
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 11 - Principal Component Analysis - 1
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 12 - Principal Component Analysis - 2
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 13 - Principal Component Analysis - 3
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 14 - Principal Component Analysis - Coding
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 15 - Machine Learning - Overview
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 16 - Optimisation Problems
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 17 - Gradient of a Vector Valued Function - 1
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 18 - Gradient of a Vector Valued Function - 2
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 19 - Neural Netowrks - Overview
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 20 - Neural Netowrks - Backpropagation
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 21 - Optimisation - Introduction to optimisation problems
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 22 - Optimisation - Relaxation and approximate convergence
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 23 - Optimisation - First Order Optimality Condition
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 24 - Optimisation - Second Order Optimality Condition
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 25 - Proof of Second Order Optimality Condition, Gradient Methods
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 26 - Gradient Descent - 2
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 27 - Variants of Gradient Descent - 1
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 28 - Variants of Gradient Descent - 2
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 29 - Variants of Gradient Descent - 3
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 30 - Convex Sets
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 31 - Convex Functions
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 32 - Duality and Lagrangian - Part 1
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 33 - Duality and Lagrangian - Part 2
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 34 - Duality and Lagrangian - Part 3
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 35 - Coding: Introduction to Pytorch
Link	NOC:Optimisation for Machine Learning: Theory and Implementation (Hindi)	Lecture 36 - Guest Lecture: Support Vector Machine
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 1 - Introduction to AI/ML/DS
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 2 - Introduction to Probability; Introduction to machine learning - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 3 - Introduction to Probability; Introduction to machine learning - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 4 - Introduction to Probability; Introduction to machine learning - Part 3
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 5 - Introduction to Probability; Introduction to machine learning - Part 4
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 6 - Python for AI/ML/DS - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 7 - Python for AI/ML/DS - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 8 - Descriptive statistics and Inferential statistics - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 9 - Descriptive statistics and Inferential statistics - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 10 - Descriptive statistics and Inferential statistics - Part 3
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 11 - Descriptive statistics and Inferential statistics - Part 4
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 12 - Descriptive statistics and Inferential statistics - Part 5
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 13 - Distribution, Data visualization, Plotting libraries - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 14 - Distribution, Data visualization, Plotting libraries - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 15 - Distribution, Data visualization, Plotting libraries - Part 3
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 16 - Linear Algebra for Data science
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 17 - Identification of linear relationship among attributes
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 18 - Solving Linear Equations - 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 19 - Solving Linear Equations - 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 20 - Linear Algebra - Distance, Hyperplanes and Halfspaces, Eigenvalues, Eigenvectors - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 21 - Linear Algebra - Distance, Hyperplanes and Halfspaces, Eigenvalues, Eigenvectors - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 22 - Linear Algebra - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 23 - Linear Algebra - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 24 - Linear Algebra - Part 3
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 25 - Regression Models, Models Selection and Evaluation - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 26 - Regression Models, Models Selection and Evaluation - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 27 - Regression Models, Models Selection and Evaluation - Part 3
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 28 - Regression Models, Models Selection and Evaluation - Part 4
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 29 - Regression - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 30 - Regression - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 31 - Regression - Part 3
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 32 - Classification Naive Bayes, Logistic Regression, K-NN - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 33 - Classification Naive Bayes, Logistic Regression, K-NN - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 34 - Classification Naive Bayes, Logistic Regression, K-NN - Part 3
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 35 - Classification Naive Bayes, Logistic Regression, K-NN - Part 4
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 36 - Classification - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 37 - Classification - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 38 - Classification - Part 3
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 39 - Linear Models for Classification - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 40 - Linear Models for Classification - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 41 - Kernel Machines
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 42 - Solving Langrange Dual in SVM
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 43 - Classification and SVM - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 44 - Classification and SVM - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 45 - Tree - Based methods, Boosting bagging - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 46 - Tree - Based methods, Boosting bagging - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 47 - Tree - Based methods, Boosting bagging - Part 3
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 48 - Tree - Based methods, Boosting bagging - Part 4
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 49 - Tree-based approaches for regression and classification - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 50 - Tree-based approaches for regression and classification - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 51 - Supervised Learning Using K Nearest Neighbors - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 52 - Supervised Learning Using K Nearest Neighbors - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 53 - Supervised Learning Using K Nearest Neighbors - Part 3
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 54 - Supervised Learning Using K Nearest Neighbors - Part 4
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 55 - Clustering methods - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 56 - Clustering methods - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 57 - Induction to Neural Networks, Perceptrons, Multilayer Perceptrons, Feedforward Neural Networks - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 58 - Induction to Neural Networks, Perceptrons, Multilayer Perceptrons, Feedforward Neural Networks - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 59 - Induction to Neural Networks, Perceptrons, Multilayer Perceptrons, Feedforward Neural Networks - Part 3
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 60 - Induction to Neural Networks, Perceptrons, Multilayer Perceptrons, Feedforward Neural Networks - Part 4
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 61 - Neural Networks and Feedforward NN - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 62 - Neural Networks and Feedforward NN - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 63 - Neural Networks and Feedforward NN - Part 3
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 64 - Backpropagation (Intuition)
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 65 - Backpropagation: Computing Cradients w.r.t the Output Units
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 66 - Learning Parameters: Gradient Descent
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 67 - Contours
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 68 - Nesterov Accelerated Gradient Descent
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 69 - Stochastic and Mini-Batch Gradient Descent
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 70 - Tips for Adjusting learning Rate and Momentum
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 71 - Line Search
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 72 - The convolution operation
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 73 - Convolutional Neural Networks
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 74 - CNN and DL models - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 75 - CNN and DL models - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 76 - CNN and DL models - Part 3
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 77 - CNN and DL models - Part 4
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 78 - AI/ML/DS Industry Use Cases - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 79 - AI/ML/DS Industry Use Cases - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 80 - AI/ML - Case Studies in Industry - Part 1
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 81 - AI/ML - Case Studies in Industry - Part 2
Link	ACM India - RBCDSAI Summer School on DS-AI-ML	Lecture 82 - Q and A on career in research a woman faculty representative from PSGTech and RBCDSAI
Link	NOC:Machine Learning (ML) in Hindi	Lecture 1 - Introduction to Machine Learning
Link	NOC:Machine Learning (ML) in Hindi	Lecture 2 - Linear Algebra: Review (Vector Spaces)
Link	NOC:Machine Learning (ML) in Hindi	Lecture 3 - Linear Algebra: Review (Matrices)
Link	NOC:Machine Learning (ML) in Hindi	Lecture 4 - Probability Theory: Review (Basics of Probability)
Link	NOC:Machine Learning (ML) in Hindi	Lecture 5 - Probability Theory: Review (Random Variables)
Link	NOC:Machine Learning (ML) in Hindi	Lecture 6 - Linear Regression
Link	NOC:Machine Learning (ML) in Hindi	Lecture 7 - Linear Regression
Link	NOC:Machine Learning (ML) in Hindi	Lecture 8 - Tutorial: Linear Regression
Link	NOC:Machine Learning (ML) in Hindi	Lecture 9 - Linear Regression
Link	NOC:Machine Learning (ML) in Hindi	Lecture 10 - Linear Kernel Regression
Link	NOC:Machine Learning (ML) in Hindi	Lecture 11 - k-Nearest Neighbour (k-NN) Regression
Link	NOC:Machine Learning (ML) in Hindi	Lecture 12 - Tutorial: k-NN Regression
Link	NOC:Machine Learning (ML) in Hindi	Lecture 13 - Tutorial: Kernel Regression
Link	NOC:Machine Learning (ML) in Hindi	Lecture 14 - Logistic Regression: Classification Evaluation Metrics
Link	NOC:Machine Learning (ML) in Hindi	Lecture 15 - Logistic Regression
Link	NOC:Machine Learning (ML) in Hindi	Lecture 16 - Logistic Regression: Examples
Link	NOC:Machine Learning (ML) in Hindi	Lecture 17 - Tutorial: Logistic Regression
Link	NOC:Machine Learning (ML) in Hindi	Lecture 18 - Neural Networks
Link	NOC:Machine Learning (ML) in Hindi	Lecture 19 - Neural Networks
Link	NOC:Machine Learning (ML) in Hindi	Lecture 20 - Neural Networks: Examples
Link	NOC:Machine Learning (ML) in Hindi	Lecture 21 - Tutorial: Neural Networks
Link	NOC:Machine Learning (ML) in Hindi	Lecture 22 - Practical Machine Learning - Part 1
Link	NOC:Machine Learning (ML) in Hindi	Lecture 23 - Practical Machine Learning - Part 2
Link	NOC:Machine Learning (ML) in Hindi	Lecture 24 - Practical Machine Learning - Part 3
Link	NOC:Machine Learning (ML) in Hindi	Lecture 25 - Practical Machine Learning - Part 4
Link	NOC:Machine Learning (ML) in Hindi	Lecture 26 - Support Vector Machines (SVM)
Link	NOC:Machine Learning (ML) in Hindi	Lecture 27 - Tutorial: Support Vector Machines (SVM)
Link	NOC:Machine Learning (ML) in Hindi	Lecture 28 - Kernel Support Vector Machines (k-SVM)
Link	NOC:Machine Learning (ML) in Hindi	Lecture 29 - Naïve Bayes Classification
Link	NOC:Machine Learning (ML) in Hindi	Lecture 30 - Decision Trees - Part 1
Link	NOC:Machine Learning (ML) in Hindi	Lecture 31 - Decision Trees - Part 2
Link	NOC:Machine Learning (ML) in Hindi	Lecture 32 - Tutorial: Naive Bayes Classification
Link	NOC:Machine Learning (ML) in Hindi	Lecture 33 - Tutorial: Decision Trees
Link	NOC:Machine Learning (ML) in Hindi	Lecture 34 - k-NN Classifier
Link	NOC:Machine Learning (ML) in Hindi	Lecture 35 - Ensemble Learning
Link	NOC:Machine Learning (ML) in Hindi	Lecture 36 - Random Forests
Link	NOC:Machine Learning (ML) in Hindi	Lecture 37 - Bagging (Bootstrap AGGregatING)
Link	NOC:Machine Learning (ML) in Hindi	Lecture 38 - Tutorial: Random Forests
Link	NOC:Machine Learning (ML) in Hindi	Lecture 39 - Tutorial: k-NN Classifier and Bootstrap AGGregatING (Bagging)
Link	NOC:Machine Learning (ML) in Hindi	Lecture 40 - Boosting
Link	NOC:Machine Learning (ML) in Hindi	Lecture 41 - Clustering
Link	NOC:Machine Learning (ML) in Hindi	Lecture 42 - k-means Clustering
Link	NOC:Machine Learning (ML) in Hindi	Lecture 43 - Tutorial: Boosting
Link	NOC:Machine Learning (ML) in Hindi	Lecture 44 - Spectral Clustering
Link	NOC:Machine Learning (ML) in Hindi	Lecture 45 - Mixture of Models (Gaussian Mixture Models-GMM)
Link	NOC:Machine Learning (ML) in Hindi	Lecture 46 - Dimensionality Reduction: Principal Component Analysis (PCA) and kernel PCA
Link	NOC:Machine Learning (ML) in Hindi	Lecture 47 - Tutorial: k-means and Spectral Clustering
Link	NOC:Machine Learning (ML) in Hindi	Lecture 48 - Tutorial: Principal Component Analysis (PCA) and Gaussian Mixture Models (GMM)
Link	NOC:Machine Learning (ML) in Hindi	Lecture 49 - Introduction to Deep Learning (DL)
Link	NOC:Machine Learning (ML) in Hindi	Lecture 50 - Convolutional Neural Networks (CNN) - Part A
Link	NOC:Machine Learning (ML) in Hindi	Lecture 51 - Convolutional Neural Networks (CNN) - Part B
Link	NOC:Machine Learning (ML) in Hindi	Lecture 52 - Autoencoders
Link	NOC:Machine Learning (ML) in Hindi	Lecture 53 - Applications of ML in Healthcare Problems - Part 1
Link	NOC:Machine Learning (ML) in Hindi	Lecture 54 - Applications of ML in Healthcare Problems - Part 2
Link	NOC:Machine Learning (ML) in Hindi	Lecture 55 - Tutorial: CNN and Autoencoder
Link	NOC:Cyber Security and Privacy	Lecture 1 - Introduction - Part 1
Link	NOC:Cyber Security and Privacy	Lecture 2 - Introduction - Part 2
Link	NOC:Cyber Security and Privacy	Lecture 3 - Introduction - Part 3
Link	NOC:Cyber Security and Privacy	Lecture 4 - Foundations - Part 1
Link	NOC:Cyber Security and Privacy	Lecture 5 - Foundations - Part 2
Link	NOC:Cyber Security and Privacy	Lecture 6 - Foundations - Part 3
Link	NOC:Cyber Security and Privacy	Lecture 7 - Security management, GRC - Part 1
Link	NOC:Cyber Security and Privacy	Lecture 8 - Security management, GRC - Part 2
Link	NOC:Cyber Security and Privacy	Lecture 9 - Security management, GRC - Part 3
Link	NOC:Cyber Security and Privacy	Lecture 10 - Contingency planning - Part 1
Link	NOC:Cyber Security and Privacy	Lecture 11 - Contingency Planning - Part 2
Link	NOC:Cyber Security and Privacy	Lecture 12 - Contingency Planning - Part 3
Link	NOC:Cyber Security and Privacy	Lecture 13 - Cybersecurity policy - Part 1
Link	NOC:Cyber Security and Privacy	Lecture 14 - Cybersecurity policy - Part 2
Link	NOC:Cyber Security and Privacy	Lecture 15 - Cybersecurity policy - Part 3
Link	NOC:Cyber Security and Privacy	Lecture 16 - Risk Management - Part 1
Link	NOC:Cyber Security and Privacy	Lecture 17 - Risk Management - Part 2
Link	NOC:Cyber Security and Privacy	Lecture 18 - Risk Management - Part 3
Link	NOC:Cyber Security and Privacy	Lecture 19 - Cybersecurity: Industry perspective - Part 1
Link	NOC:Cyber Security and Privacy	Lecture 20 - Cybersecurity: Industry perspective - Part 2
Link	NOC:Cyber Security and Privacy	Lecture 21 - Cybersecurity: Industry perspective - Part 3
Link	NOC:Cyber Security and Privacy	Lecture 22 - Cyber security technologies - Part 1
Link	NOC:Cyber Security and Privacy	Lecture 23 - Cyber security technologies - Part 2
Link	NOC:Cyber Security and Privacy	Lecture 24 - Cyber security technologies - Part 3
Link	NOC:Cyber Security and Privacy	Lecture 25 - Foundations of privacy - Part 1
Link	NOC:Cyber Security and Privacy	Lecture 26 - Foundations of privacy - Part 2
Link	NOC:Cyber Security and Privacy	Lecture 27 - Foundations of privacy - Part 3
Link	NOC:Cyber Security and Privacy	Lecture 28 - Privacy regulation - Part 1
Link	NOC:Cyber Security and Privacy	Lecture 29 - Privacy regulation - Part 2
Link	NOC:Cyber Security and Privacy	Lecture 30 - Privacy regulation - Part 3
Link	NOC:Cyber Security and Privacy	Lecture 31 - Privacy regulation in Europe - Part 1
Link	NOC:Cyber Security and Privacy	Lecture 32 - Privacy regulation in Europe - Part 2
Link	NOC:Cyber Security and Privacy	Lecture 33 - Privacy regulation in Europe - Part 3
Link	NOC:Cyber Security and Privacy	Lecture 34 - Privacy: The Indian Way - Part 1
Link	NOC:Cyber Security and Privacy	Lecture 35 - Privacy: The Indian Way - Part 2
Link	NOC:Cyber Security and Privacy	Lecture 36 - Privacy: The Indian Way - Part 3
Link	NOC:Cyber Security and Privacy	Lecture 37 - Information privacy: Economics and strategy - Part 1
Link	NOC:Cyber Security and Privacy	Lecture 38 - Information privacy: Economics and strategy - Part 2
Link	NOC:Cyber Security and Privacy	Lecture 39 - Information privacy: Economics and strategy - Part 3
Link	NOC:Cyber Security and Privacy	Lecture 40 - Privacy: Strategy and safety - Part 1
Link	NOC:Cyber Security and Privacy	Lecture 41 - Privacy: Strategy and safety - Part 2
Link	NOC:Cyber Security and Privacy	Lecture 42 - Privacy: Strategy and safety - Part 3
Link	NOC:Business Intelligence and Analytics	Lecture 1 - Introduction to Business Intelligence and Analytics
Link	NOC:Business Intelligence and Analytics	Lecture 2 - Patterns in Data
Link	NOC:Business Intelligence and Analytics	Lecture 3 - Vocabulary of Business Analytics
Link	NOC:Business Intelligence and Analytics	Lecture 4 - Course Overview
Link	NOC:Business Intelligence and Analytics	Lecture 5 - Case: Bizocity Scoring at AT&T
Link	NOC:Business Intelligence and Analytics	Lecture 6 - Business Intelligence Architecture
Link	NOC:Business Intelligence and Analytics	Lecture 7 - Data Management
Link	NOC:Business Intelligence and Analytics	Lecture 8 - Online Transaction Processing
Link	NOC:Business Intelligence and Analytics	Lecture 9 - Introduction To SQL
Link	NOC:Business Intelligence and Analytics	Lecture 10 - Normalisation
Link	NOC:Business Intelligence and Analytics	Lecture 11 - Shopsense Case in MySQL Workbench
Link	NOC:Business Intelligence and Analytics	Lecture 12 - Online Analytical Processing
Link	NOC:Business Intelligence and Analytics	Lecture 13 - Descriptive Data Analytics
Link	NOC:Business Intelligence and Analytics	Lecture 14 - Churn Analysis
Link	NOC:Business Intelligence and Analytics	Lecture 15 - Customer Lifetime Value
Link	NOC:Business Intelligence and Analytics	Lecture 16 - NPV-CLV Spreadsheet Analysis
Link	NOC:Business Intelligence and Analytics	Lecture 17 - Analytics Process
Link	NOC:Business Intelligence and Analytics	Lecture 18 - Introduction to Statistical Learning and Data Pre-Processing
Link	NOC:Business Intelligence and Analytics	Lecture 19 - Data Mining Process
Link	NOC:Business Intelligence and Analytics	Lecture 20 - Overview of Data Mining Techniques
Link	NOC:Business Intelligence and Analytics	Lecture 21 - Analytics Process Case
Link	NOC:Business Intelligence and Analytics	Lecture 22 - Introduction to Classification
Link	NOC:Business Intelligence and Analytics	Lecture 23 - Scoring Models
Link	NOC:Business Intelligence and Analytics	Lecture 24 - Classifier Performance
Link	NOC:Business Intelligence and Analytics	Lecture 25 - Decision Trees
Link	NOC:Business Intelligence and Analytics	Lecture 26 - Attribute Selection
Link	NOC:Business Intelligence and Analytics	Lecture 27 - Growing a Decision Tree
Link	NOC:Business Intelligence and Analytics	Lecture 28 - Decision Tree Application - Part 1
Link	NOC:Business Intelligence and Analytics	Lecture 29 - Decision Tree Application - Part 2
Link	NOC:Business Intelligence and Analytics	Lecture 30 - Classification Demo - 1
Link	NOC:Business Intelligence and Analytics	Lecture 31 - Classification Demo - 2
Link	NOC:Business Intelligence and Analytics	Lecture 32 - Cluster Analysis
Link	NOC:Business Intelligence and Analytics	Lecture 33 - Clustering Techniques - Part 1
Link	NOC:Business Intelligence and Analytics	Lecture 34 - Clustering Techniques - Part 2
Link	NOC:Business Intelligence and Analytics	Lecture 35 - K-Means Clustering
Link	NOC:Business Intelligence and Analytics	Lecture 36 - Implementation in Python: Clustering for segmentation and profiling
Link	NOC:Business Intelligence and Analytics	Lecture 37 - RFM Analysis
Link	NOC:Business Intelligence and Analytics	Lecture 38 - Trendhub Case on RFM
Link	NOC:Business Intelligence and Analytics	Lecture 39 - RFM and Clustering
Link	NOC:Business Intelligence and Analytics	Lecture 40 - Artificial Neural Network
Link	NOC:Business Intelligence and Analytics	Lecture 41 - ANN Training
Link	NOC:Business Intelligence and Analytics	Lecture 42 - ANN for Financial Time Series Modelling
Link	NOC:Business Intelligence and Analytics	Lecture 43 - Implementation in Python: ANN
Link	NOC:Business Intelligence and Analytics	Lecture 44 - Introduction Text Mining
Link	NOC:Business Intelligence and Analytics	Lecture 45 - Text Mining Process
Link	NOC:Business Intelligence and Analytics	Lecture 46 - Text mining Using R - The Case of a Movie Discussion Forum
Link	NOC:Responsible and Safe AI Systems	Lecture 1 - Introduction
Link	NOC:Responsible and Safe AI Systems	Lecture 2 - AI Capabilities - Part 1
Link	NOC:Responsible and Safe AI Systems	Lecture 3 - AI Capabilities - Part 2
Link	NOC:Responsible and Safe AI Systems	Lecture 4 - AI Risk - Part 1
Link	NOC:Responsible and Safe AI Systems	Lecture 5 - AI Risk - Part 2
Link	NOC:Responsible and Safe AI Systems	Lecture 6 - AI Risk - Part 3
Link	NOC:Responsible and Safe AI Systems	Lecture 7 - AI Risk Part 4"Risks associated with AI, getting harmful outputs from AI, biases
Link	NOC:Responsible and Safe AI Systems	Lecture 8 - Robustness - Part 1
Link	NOC:Responsible and Safe AI Systems	Lecture 9 - Robustness - Part 2
Link	NOC:Responsible and Safe AI Systems	Lecture 10 - Robustness Hands-On
Link	NOC:Responsible and Safe AI Systems	Lecture 11 - RLHF
Link	NOC:Responsible and Safe AI Systems	Lecture 12 - AI Alignment
Link	NOC:Responsible and Safe AI Systems	Lecture 13 - Transformers - Part 1
Link	NOC:Responsible and Safe AI Systems	Lecture 14 - Transformers - Part 2
Link	NOC:Responsible and Safe AI Systems	Lecture 15 - Hugging face
Link	NOC:Responsible and Safe AI Systems	Lecture 16 - Unlearning
Link	NOC:Responsible and Safe AI Systems	Lecture 17 - Approximate unlearning
Link	NOC:Responsible and Safe AI Systems	Lecture 18 - Evaluation of Unlearning and Graph Unlearning - Part 1
Link	NOC:Responsible and Safe AI Systems	Lecture 19 - Evaluation of Unlearning and Graph Unlearning - Part 2
Link	NOC:Responsible and Safe AI Systems	Lecture 20 - Representation Engineering - Hands on
Link	NOC:Responsible and Safe AI Systems	Lecture 21 - Introduction to ML - Part 1
Link	NOC:Responsible and Safe AI Systems	Lecture 22 - Introduction to ML - Part 2
Link	NOC:Responsible and Safe AI Systems	Lecture 23 - Basics of Neural Networks and PyTorch - Part 1
Link	NOC:Responsible and Safe AI Systems	Lecture 24 - Basics of Neural Networks and PyTorch - Part 2
Link	NOC:Responsible and Safe AI Systems	Lecture 25 - PyTorch - Basic Workflow
Link	NOC:Responsible and Safe AI Systems	Lecture 26 - PyTorch - Classification
Link	NOC:Responsible and Safe AI Systems	Lecture 27 - Bias - I
Link	NOC:Responsible and Safe AI Systems	Lecture 28 - Bias - II
Link	NOC:Responsible and Safe AI Systems	Lecture 29 - Source of Bias
Link	NOC:Responsible and Safe AI Systems	Lecture 30 - Bias - Handson
Link	NOC:Responsible and Safe AI Systems	Lecture 31 - Bias - III
Link	NOC:Responsible and Safe AI Systems	Lecture 32 - Bias - IV
Link	NOC:Responsible and Safe AI Systems	Lecture 33 - Bias in VLM's
Link	NOC:Responsible and Safe AI Systems	Lecture 34 - Bias Handson - Part 1
Link	NOC:Responsible and Safe AI Systems	Lecture 35 - Bias Handson - Part 2
Link	NOC:Responsible and Safe AI Systems	Lecture 36 - Data Privacy
Link	NOC:Responsible and Safe AI Systems	Lecture 37 - Differential Privacy
Link	NOC:Responsible and Safe AI Systems	Lecture 38 - Approximate Differential Privacy
Link	NOC:Responsible and Safe AI Systems	Lecture 39 - Exponential Mechanism
Link	NOC:Responsible and Safe AI Systems	Lecture 40 - Fairness in Machine Learning
Link	NOC:Responsible and Safe AI Systems	Lecture 41 - Interpretability - I
Link	NOC:Responsible and Safe AI Systems	Lecture 42 - Interpretability - II
Link	NOC:Responsible and Safe AI Systems	Lecture 43 - Interpretability Hands-on - Part 1
Link	NOC:Responsible and Safe AI Systems	Lecture 44 - Interpretability Hands-on - Part 2
Link	NOC:Responsible and Safe AI Systems	Lecture 45 - AI Policies, Regulations, AGI - Part 1
Link	NOC:Responsible and Safe AI Systems	Lecture 46 - AI Policies, Regulations, AGI - Part 2
Link	NOC:Responsible and Safe AI Systems	Lecture 47 - AI Policies, Regulations, AGI - Part 3
Link	NOC:Responsible and Safe AI Systems	Lecture 48 - AI Policies, AGI with Prof. David Krueger - Part 1
Link	NOC:Responsible and Safe AI Systems	Lecture 49 - AI Policies, AGI with Prof. David Krueger - Part 2
Link	NOC:Responsible and Safe AI Systems	Lecture 50 - Finetuning and Jailbreaking: Hands-on
Link	NOC:Responsible and Safe AI Systems	Lecture 51 - AI Governance
Link	NOC:Responsible and Safe AI Systems	Lecture 52 - Research Overview: SaGE- Quantifying moral consistency in LLMs
Link	NOC:Responsible and Safe AI Systems	Lecture 53 - Research Overview: Higher Order Structures for Graph Explanations
Link	NOC:Responsible and Safe AI Systems	Lecture 54 - Research Overview: Representation Surgery
Link	NOC:Responsible and Safe AI Systems	Lecture 55 - Summary - Part 1
Link	NOC:Responsible and Safe AI Systems	Lecture 56 - Summary - Part 2
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 1 - Introduction to Human-Computer Interaction (HCI) - Part 1
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 2 - Introduction to Human-Computer Interaction (HCI) - Part 2
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 3 - Good Design Vs Bad Design
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 4 - HCI Project
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 5 - Design - Part 1
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 6 - Design - Part 2
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 7 - Inclusivity, Accessibility and Design Principles
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 8 - Canva
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 9 - Interaction - Part 1
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 10 - Interaction - Part 2
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 11 - Interaction Design Process
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 12 - Prototyping with Figma
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 13 - User Perspective - Part 1
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 14 - User Perspective - Part 2
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 15 - User Perspective
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 16 - Miro
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 17 - Mental/conceptual model
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 18 - Interface - Part 1
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 19 - Interface - Part 2
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 20 - Cognitive Aspects in Human-Computer Interaction
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 21 - Introduction to Behance
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 22 - Data Requirement, Gathering, and Analysis
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 23 - Data Gathering and Analysis
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 24 - Panel Discussion: Ethics, Techniques, and Analysis in Data Gathering
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 25 - IRB Overview
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 26 - Prototyping and Smart UI - Part 1
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 27 - Prototyping and Smart UI - Part 2
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 28 - Hands-on Prototyping Techniques
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 29 - Prototyping for Human-Computer Interaction
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 30 - Evaluation
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 31 - Evaluation Techniques
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 32 - Illustrator
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 33 - Iterative design and evaluation
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 34 - IoT and HCI
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 35 - IoT and HCI
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 36 - HCI and AI
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 37 - LLM and HCI Tutorial
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 38 - AI-Powered Tools for Content Generation and Analysis: Kyron
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 39 - AI-Powered Tools for Content Generation and Analysis: Firefly, Audino
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 40 - Privacy, Security, and HCI
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 41 - HCI and AI in Conversational Systems
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 42 - Human Centered AI for Autism Diagnosis
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 43 - Conversational AI: Human-Centric Interaction through HCI and NLP
Link	NOC:Human Computer Interaction (Hindi and English)	Lecture 44 - WAYV: Braille Assistive Gloves
Link	NOC:Large Applications Practicum	Lecture 1 - Introduction to Makefiles: Build Automation - 1
Link	NOC:Large Applications Practicum	Lecture 2 - Introduction to Makefiles: Build Automation - 2
Link	NOC:Large Applications Practicum	Lecture 3 - Introduction to GIT: Version Control Simplified
Link	NOC:Large Applications Practicum	Lecture 4 - Master GIT Workflow: Track and Commit
Link	NOC:Large Applications Practicum	Lecture 5 - Master GIT: Track and Undo Changes
Link	NOC:Large Applications Practicum	Lecture 6 - Master GIT: Fetch, Push and Tagging
Link	NOC:Large Applications Practicum	Lecture 7 - Master GIT: Aliases, Branching and Commits
Link	NOC:Large Applications Practicum	Lecture 8 - Master GIT: Merging, Conflict Resolution and Branch Management
Link	NOC:Large Applications Practicum	Lecture 9 - Introduction to Code Documentation with Natural Docs
Link	NOC:Large Applications Practicum	Lecture 10 - Mastering Code Documentation: Classes, Scope and Formatting
Link	NOC:Large Applications Practicum	Lecture 11 - Advanced Documentation: Linking, Extra Topics and Abbreviated Syntax
Link	NOC:Large Applications Practicum	Lecture 12 - Introduction to Software Testing: Verification, Validation and Testing Methods
Link	NOC:Large Applications Practicum	Lecture 13 - JUnit for Java: Writing and Running Unit Tests in Eclipse
Link	NOC:Large Applications Practicum	Lecture 14 - Code Coverage Analysis with EclEmma in Eclipse
Link	NOC:Large Applications Practicum	Lecture 15 - Lexical Analysis with Flex: Tokenizing Input for Parsing
Link	NOC:Large Applications Practicum	Lecture 16 - Introduction to Parsing with Bison: Building a Simple Expression Parser
Link	NOC:Large Applications Practicum	Lecture 17 - Flex and Bison Integration: Creating a Complete Expression Parser
Link	NOC:Large Applications Practicum	Lecture 18 - Introduction to UML: Use Case and Class Diagrams
Link	NOC:Large Applications Practicum	Lecture 19 - UML Class Diagrams: Associations, Aggregation and Composition
Link	NOC:Large Applications Practicum	Lecture 20 - Sequence Diagrams and UML Tools in Software Design
Link	NOC:Large Applications Practicum	Lecture 21 - UML Editing and Code Generation with Umbrello
Link	NOC:Large Applications Practicum	Lecture 22 - Introduction to Software Reverse Engineering: Disassemblers and Debuggers
Link	NOC:Large Applications Practicum	Lecture 23 - Reverse Engineering Java and .NET Applications: Decompilers in Action
Link	NOC:Introduction to Cryptology	Lecture 1 - Introduction Caeser cipher
Link	NOC:Introduction to Cryptology	Lecture 2 - Modular arithmetic, shift cipher
Link	NOC:Introduction to Cryptology	Lecture 3 - Affine Cipher, Vigenere Cipher
Link	NOC:Introduction to Cryptology	Lecture 4 - Prefect secrecy, Application of Shift Cipher
Link	NOC:Introduction to Cryptology	Lecture 5 - Problem Discussion on Affine cipher and Perfect Secrecy
Link	NOC:Introduction to Cryptology	Lecture 6 - Product Cipher, Block Cipher, Modes of Operation for Block Cipher
Link	NOC:Introduction to Cryptology	Lecture 7 - Substitution Permutation network, Fiestel Cipher
Link	NOC:Introduction to Cryptology	Lecture 8 - S-Box Theory
Link	NOC:Introduction to Cryptology	Lecture 9 - Cryptanalysis and its Variants, Linear Attack
Link	NOC:Introduction to Cryptology	Lecture 10 - Problem Discussion
Link	NOC:Introduction to Cryptology	Lecture 11 - Public Key Cryptology Introduction RSA Cryptosystem
Link	NOC:Introduction to Cryptology	Lecture 12 - Complexity analysis of Euclidian Algorithm and RSA Cryptosystem square and multiply algorithm
Link	NOC:Introduction to Cryptology	Lecture 13 - Primality testing: Miler-Rabin Algorithm, Legendre Symbol and Jacobi Symbol
Link	NOC:Introduction to Cryptology	Lecture 14 - Efficien Computation of Jacobi Symbol Primality Testing:Solovay-Stassen Algorithm
Link	NOC:Introduction to Cryptology	Lecture 15 - Problem Discussion on Jacobi Symbol Calculation and RSA Cryptosystem
Link	NOC:Introduction to Cryptology	Lecture 16 - Cryptographic hash function: Introduction
Link	NOC:Introduction to Cryptology	Lecture 17 - Random Oracle model, Security of hash functions
Link	NOC:Introduction to Cryptology	Lecture 18 - Randomized Algorithm and its application on Preimage resistance and collision resistance
Link	NOC:Introduction to Cryptology	Lecture 19 - Iterated Hash Functions
Link	NOC:Introduction to Cryptology	Lecture 20 - Problem Discussionn
Link	NOC:Data Analytics with Python	Lecture 1 - Introduction to data analytics
Link	NOC:Data Analytics with Python	Lecture 2 - Python Fundamentals - I
Link	NOC:Data Analytics with Python	Lecture 3 - Python Fundamentals - II
Link	NOC:Data Analytics with Python	Lecture 4 - Central Tendency and Dispersion - I
Link	NOC:Data Analytics with Python	Lecture 5 - Central Tendency and Dispersion - II
Link	NOC:Data Analytics with Python	Lecture 6 - Introduction to Probability - I
Link	NOC:Data Analytics with Python	Lecture 7 - Introduction to Probability - II
Link	NOC:Data Analytics with Python	Lecture 8 - Probability Distributions - I
Link	NOC:Data Analytics with Python	Lecture 9 - Probability Distributions - II
Link	NOC:Data Analytics with Python	Lecture 10 - Probability Distributions - III
Link	NOC:Data Analytics with Python	Lecture 11 - Python Demo for Distributions
Link	NOC:Data Analytics with Python	Lecture 12 - Sampling and Sampling Distribution
Link	NOC:Data Analytics with Python	Lecture 13 - Distribution of Sample Means, population, and variance
Link	NOC:Data Analytics with Python	Lecture 14 - Confidence interval estimation: Single population - I
Link	NOC:Data Analytics with Python	Lecture 15 - Confidence interval estimation: Single population - II
Link	NOC:Data Analytics with Python	Lecture 16 - Hypothesis Testing - I
Link	NOC:Data Analytics with Python	Lecture 17 - Hypothesis Testing - II
Link	NOC:Data Analytics with Python	Lecture 18 - Hypothesis Testing - III
Link	NOC:Data Analytics with Python	Lecture 19 - Errors in Hypothesis Testing
Link	NOC:Data Analytics with Python	Lecture 20 - Hypothesis Testing: Two sample test - I
Link	NOC:Data Analytics with Python	Lecture 21 - Hypothesis Testing: Two sample test - II
Link	NOC:Data Analytics with Python	Lecture 22 - Hypothesis Testing: Two sample test - III
Link	NOC:Data Analytics with Python	Lecture 23 - ANOVA - I
Link	NOC:Data Analytics with Python	Lecture 24 - ANOVA - II
Link	NOC:Data Analytics with Python	Lecture 25 - Post Hoc Analysis (Tukey’s test)
Link	NOC:Data Analytics with Python	Lecture 26 - Randomize block design (RBD)
Link	NOC:Data Analytics with Python	Lecture 27 - Two Way ANOVA
Link	NOC:Data Analytics with Python	Lecture 28 - Linear Regression - I
Link	NOC:Data Analytics with Python	Lecture 29 - Linear Regression - II
Link	NOC:Data Analytics with Python	Lecture 30 - Linear Regression - III
Link	NOC:Data Analytics with Python	Lecture 31 - Estimation, Prediction of Regression Model Residual Analysis - I
Link	NOC:Data Analytics with Python	Lecture 32 - Estimation, Prediction of Regression Model Residual Analysis - II
Link	NOC:Data Analytics with Python	Lecture 33 - Multiple Regression Model - I
Link	NOC:Data Analytics with Python	Lecture 34 - Multiple Regression Model - II
Link	NOC:Data Analytics with Python	Lecture 35 - Categorical variable regression
Link	NOC:Data Analytics with Python	Lecture 36 - Maximum Likelihood Estimation - I
Link	NOC:Data Analytics with Python	Lecture 37 - Maximum Likelihood Estimation - II
Link	NOC:Data Analytics with Python	Lecture 38 - Logistic Regression - I
Link	NOC:Data Analytics with Python	Lecture 39 - Logistic Regression - II
Link	NOC:Data Analytics with Python	Lecture 40 - Linear Regression Model Vs Logistic Regression Model
Link	NOC:Data Analytics with Python	Lecture 41 - Confusion matrix and ROC - I
Link	NOC:Data Analytics with Python	Lecture 42 - Confusion Matrix and ROC - II
Link	NOC:Data Analytics with Python	Lecture 43 - Performance of Logistic Model - III
Link	NOC:Data Analytics with Python	Lecture 44 - Regression Analysis Model Building - I
Link	NOC:Data Analytics with Python	Lecture 45 - Regression Analysis Model Building (Interaction) - II
Link	NOC:Data Analytics with Python	Lecture 46 - Chi - Square Test of Independence - I
Link	NOC:Data Analytics with Python	Lecture 47 - Chi-Square Test of Independence - II
Link	NOC:Data Analytics with Python	Lecture 48 - Chi-Square Goodness of Fit Test
Link	NOC:Data Analytics with Python	Lecture 49 - Cluster analysis: Introduction - Part I
Link	NOC:Data Analytics with Python	Lecture 50 - Clustering analysis - Part II
Link	NOC:Data Analytics with Python	Lecture 51 - Clustering analysis - Part III
Link	NOC:Data Analytics with Python	Lecture 52 - Cluster analysis - Part IV
Link	NOC:Data Analytics with Python	Lecture 53 - Cluster analysis - Part V
Link	NOC:Data Analytics with Python	Lecture 54 - K- Means Clustering
Link	NOC:Data Analytics with Python	Lecture 55 - Hierarchical method of clustering - I
Link	NOC:Data Analytics with Python	Lecture 56 - Hierarchical method of clustering - II
Link	NOC:Data Analytics with Python	Lecture 57 - Classification and Regression Trees (CART) - I
Link	NOC:Data Analytics with Python	Lecture 58 - Measures of attribute selection
Link	NOC:Data Analytics with Python	Lecture 59 - Attribute selection Measures in (CART) - II
Link	NOC:Data Analytics with Python	Lecture 60 - Classification and Regression Trees (CART) - III
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 1 - Introduction to Object-Oriented Programming
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 2 - Introduction to Classes and Objects in C++
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 3 - Introduction to Member Data and Member Functions in C++
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 4 - Introduction to Classes and Objects in Java
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 5 - Introduction to Paradigms of OOP
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 6 - Classes and Objects in C++
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 7 - Classes and Objects in Java and Solved problems
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 8 - Constructors in C++ - Default and Parameterized
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 9 - Constructors in C++ - Copy Constructor
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 10 - Constructors in Java - Default and Parameterized
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 11 - Access Specifiers in C++
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 12 - Inheritance - Single Inheritance
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 13 - Inheritance - Multilevel Inheritance
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 14 - Inheritance - Multiple, Hierarchial, and Hybrid
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 15 - Inheritance and Introduction to Friend Function
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 16 - Polymorphism
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 17 - Overloading - Operator and Constructor
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 18 - this keyword in C++
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 19 - Method Overloading
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 20 - Method Overriding
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 21 - Encapsulation - I
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 22 - Encapsulation - II
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 23 - Data Abstraction
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 24 - Virtual Functions in C++ and Abstract Class
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 25 - Interface in Java
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 26 - Exception Handling in C++
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 27 - Exception Handling - Solved Problems
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 28 - Multiple Catch and Nested try Statements
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 29 - 'throws' keyword in Java
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 30 - 'finally' keyword in Java
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 31 - Basics of File Handling
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 32 - File Handling - Solved Problems
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 33 - File Handling - Append and other Mathematical Operations
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 34 - File Handling - Character, Line, and CSV File Reading
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 35 - Serialization and Deserialization
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 36 - Introduction to Templates and Generics
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 37 - Template Class in C++
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 38 - Generics in Java
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 39 - Generics in Java (Continued...)
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 40 - Generics in Python
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 41 - Introduction to Standard Template Library
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 42 - Associative Containers
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 43 - Unordered Containers, Iterators
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 44 - STL Algorithms
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 45 - Case Studies - Library Management System, Real-Time Stock Tracker
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 46 - Design Patterns
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 47 - Singleton and Factory Pattern
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 48 - Factory Pattern in Java
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 49 - Observer Pattern
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 50 - Structural Patterns
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 51 - Advanced Topics - Multithreading and Concurrency
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 52 - Deadlocks - Causes and Prevention
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 53 - Introduction to Network Programming
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 54 - Communication over HTTP and Related Protocols
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 55 - GUI Development
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 56 - Case Study - Mathematical Computation Framework C++
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 57 - Case Study - Hotel reservation System C++
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 58 - Case Study - Online Shopping Cart Java
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 59 - Case Study - Employee Payroll System Java
Link	NOC:Fundamentals of Object Oriented Programming	Lecture 60 - Case Study - Image Classification Tool Python
Link	Combinatorics	Lecture 1 - Pigeon hole principle - (Part 1)
Link	Combinatorics	Lecture 2 - Pigeon hole principle - (Part 2)
Link	Combinatorics	Lecture 3 - Pigeon hole principle - (Part 3)
Link	Combinatorics	Lecture 4 - Pigeon hole principle - (Part 4)
Link	Combinatorics	Lecture 5 - Elementary concepts and basic counting principles
Link	Combinatorics	Lecture 6 - Elementary concepts; Binomial theorem; Bijective proofs - Part (1)
Link	Combinatorics	Lecture 7 - Bijective proofs – Part (2)
Link	Combinatorics	Lecture 8 - Bijective proofs - Part (3); Properties of binomial coefficients; Combinatorial identities - Part (1)
Link	Combinatorics	Lecture 9 - Combinatorial identities - Part (2); Permutations of multisets – Part (1)
Link	Combinatorics	Lecture 10 - Permutations of multisets – Part (2)
Link	Combinatorics	Lecture 11 - Multinomial Theorem, Combinations of Multisets – Part (1)
Link	Combinatorics	Lecture 12 - Combinations of Multisets - Part (2)
Link	Combinatorics	Lecture 13 - Combinations of Multisets – Part (3), Bounds for binomial coefficients
Link	Combinatorics	Lecture 14 - Sterling’s Formula, Generalization of Binomial coefficients - Part (1)
Link	Combinatorics	Lecture 15 - Generalization of Binomial coefficients - Part (2)
Link	Combinatorics	Lecture 16 - Generalization of Binomial coefficients - Part (3); Double counting - Part (1)
Link	Combinatorics	Lecture 17 - Double counting - Part (2)
Link	Combinatorics	Lecture 18 - Hall’s Theorem for regular bipartite graphs; Inclusion exclusion principle - Part (1)
Link	Combinatorics	Lecture 19 - Inclusion exclusion principle - Part (2)
Link	Combinatorics	Lecture 20 - Inclusion exclusion principle - Part (3)
Link	Combinatorics	Lecture 21 - Inclusion exclusion principle - Part (4)
Link	Combinatorics	Lecture 22 - Inclusion exclusion principle - Part (5)
Link	Combinatorics	Lecture 23 - Recurrence Relations - Part (1)
Link	Combinatorics	Lecture 24 - Recurrence Relations - Part (2)
Link	Combinatorics	Lecture 25 - Recurrence Relations - Part (3)
Link	Combinatorics	Lecture 26 - Recurrence Relations - Part (4)
Link	Combinatorics	Lecture 27 - Recurrence Relations - Part (5)
Link	Combinatorics	Lecture 28 - Generating functions - Part (1)
Link	Combinatorics	Lecture 29 - Generating functions - Part (2)
Link	Combinatorics	Lecture 30 - Solving recurrence relations using generating functions - Part (1)
Link	Combinatorics	Lecture 31 - Solving recurrence relations using generating functions - Part (2)
Link	Combinatorics	Lecture 32 - Exponential generating functions - Part (1)
Link	Combinatorics	Lecture 33 - Exponential generating functions - Part (2), Partition Number - Part (1)
Link	Combinatorics	Lecture 34 - Partition Number - Part (2)
Link	Combinatorics	Lecture 35 - Partition Number - Part (3)
Link	Combinatorics	Lecture 36 - Partition Number - Part (4); Catalan Numbers - Part (1)
Link	Combinatorics	Lecture 37 - Catalans Numbers - Part (2)
Link	Combinatorics	Lecture 38 - Catalan Numbers - Part (3), Sterling numbers of the 2nd kind
Link	Combinatorics	Lecture 39 - Difference Sequences
Link	Combinatorics	Lecture 40 - Sterling Numbers
Link	Combinatorics	Lecture 41 - Summary
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 1 - An Overview of a Compiler - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 2 - An Overview of a Compiler - Part 2 and Run-Time Environments - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 3 - An Overview of a Compiler - Part 2 and Run-Time Environments - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 4 - Run-Time Environments - Part 2
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 5 - Run-Time Environments - Part 3 and Local Optimizations - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 6 - Run-Time Environments - Part 3 and Local Optimizations - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 7 - Local Optimizations - Part 2 and Code Generation - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 8 - Local Optimizations - Part 2 and Code Generation - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 9 - Code Generation - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 10 - Code Generation - Part 2
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 11 - Code Generation - Part 3 and Global Register Allocation - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 12 - Code Generation - Part 3 and Global Register Allocation - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 13 - Global Register Allocation - Part 2
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 14 - Global Register Allocation - Part 3 and Implementing Object-Oriented Languages - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 15 - Global Register Allocation - Part 3 and Implementing Object-Oriented Languages - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 16 - Implementing Object-Oriented Languages - Part 2 and Introduction to Machine-Independent Optimizations - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 17 - Implementing Object-Oriented Languages - Part 2 and Introduction to Machine-Independent Optimizations - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 18 - Introduction to Machine-Independent Optimizations - Part 2 and Data-Flow Analysis - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 19 - Introduction to Machine-Independent Optimizations - Part 2 and Data-Flow Analysis - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 20 - Data-Flow Analysis - Part 2
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 21 - Data-Flow Analysis - Part 3 and Control-Flow Analysis - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 22 - Data-Flow Analysis - Part 3 and Control-Flow Analysis - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 23 - Control-Flow Analysis - Part 2
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 24 - Machine-Independent Optimizations - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 25 - Machine-Independent Optimizations - Part 2
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 26 - Machine-Independent Optimizations - Part 3 and Data-Flow Analysis: Theoretical Foundation - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 27 - Machine-Independent Optimizations - Part 3 and Data-Flow Analysis: Theoretical Foundation - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 28 - Data-Flow Analysis: Theoretical Foundation - Part 2 and Partial Redundancy Elimination - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 29 - Data-Flow Analysis: Theoretical Foundation - Part 2 and Partial Redundancy Elimination - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 30 - Partial Redundancy Elimination - Part 2
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 31 - The Static Single Assignment Form: Construction and Application to Program Optimizations - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 32 - The Static Single Assignment Form: Construction and Application to Program Optimizations - Part 2
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 33 - The Static Single Assignment Form: Construction and Application to Program Optimizations - Part 3
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 34 - Automatic Parallelization - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 35 - Automatic Parallelization - Part 2
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 36 - Automatic Parallelization - Part 3
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 37 - Automatic Parallelization - Part 4
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 38 - Instruction Scheduling - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 39 - Instruction Scheduling - Part 2
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 40 - Instruction Scheduling - Part 3
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 41 - Software Pipelining
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 42 - Energy-Aware Software Systems - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 43 - Energy-Aware Software Systems - Part 2
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 44 - Energy-Aware Software Systems - Part 3
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 45 - Energy-Aware Software Systems - Part 4
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 46 - Just-In-Time Compilation and Optimizations for .NET CLR
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 47 - Garbage Collection
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 48 - Interprocedural Data-Flow Analysis
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 49 - Worst Case Execution Time - Part 1
Link	Compiler Design (Prof. Y.N. Srikanth)	Lecture 50 - Worst Case Execution Time - Part 2
Link	Graph Theory	Lecture 1 - Introduction: Vertex cover and independent set
Link	Graph Theory	Lecture 2 - Matchings: Konig’s theorem and Hall’s theorem
Link	Graph Theory	Lecture 3 - More on Hall’s theorem and some applications
Link	Graph Theory	Lecture 4 - Tutte’s theorem on existence of a perfect matching
Link	Graph Theory	Lecture 5 - More on Tutte’s theorem
Link	Graph Theory	Lecture 6 - More on Matchings
Link	Graph Theory	Lecture 7 - Dominating set, path cover
Link	Graph Theory	Lecture 8 - Gallai – Millgram theorem, Dilworth’s theorem
Link	Graph Theory	Lecture 9 - Connectivity: 2-connected and 3-connected graphs
Link	Graph Theory	Lecture 10 - Menger’s theorem
Link	Graph Theory	Lecture 11 - More on connectivity: k- linkedness
Link	Graph Theory	Lecture 12 - Minors, topological minors and more on k- linkedness
Link	Graph Theory	Lecture 13 - Vertex coloring: Brooks theorem
Link	Graph Theory	Lecture 14 - More on vertex coloring
Link	Graph Theory	Lecture 15 - Edge coloring: Vizing’s theorem
Link	Graph Theory	Lecture 16 - Proof of Vizing’s theorem, Introduction to planarity
Link	Graph Theory	Lecture 17 - 5- coloring planar graphs, Kuratowsky’s theorem
Link	Graph Theory	Lecture 18 - Proof of Kuratowsky’s theorem, List coloring
Link	Graph Theory	Lecture 19 - List chromatic index
Link	Graph Theory	Lecture 20 - Adjacency polynomial of a graph and combinatorial Nullstellensatz
Link	Graph Theory	Lecture 21 - Chromatic polynomial, k - critical graphs
Link	Graph Theory	Lecture 22 - Gallai-Roy theorem, Acyclic coloring, Hadwiger’s conjecture
Link	Graph Theory	Lecture 23 - Perfect graphs: Examples
Link	Graph Theory	Lecture 24 - Interval graphs, chordal graphs
Link	Graph Theory	Lecture 25 - Proof of weak perfect graph theorem (WPGT)
Link	Graph Theory	Lecture 26 - Second proof of WPGT, Some non-perfect graph classes
Link	Graph Theory	Lecture 27 - More special classes of graphs
Link	Graph Theory	Lecture 28 - Boxicity,Sphericity, Hamiltonian circuits
Link	Graph Theory	Lecture 29 - More on Hamiltonicity: Chvatal’s theorem
Link	Graph Theory	Lecture 30 - Chvatal’s theorem, toughness, Hamiltonicity and 4-color conjecture
Link	Graph Theory	Lecture 31 - Network flows: Max flow mincut theorem
Link	Graph Theory	Lecture 32 - More on network flows: Circulations
Link	Graph Theory	Lecture 33 - Circulations and tensions
Link	Graph Theory	Lecture 34 - More on circulations and tensions, flow number and Tutte’s flow conjectures
Link	Graph Theory	Lecture 35 - Random graphs and probabilistic method: Preliminaries
Link	Graph Theory	Lecture 36 - Probabilistic method: Markov’s inequality, Ramsey number
Link	Graph Theory	Lecture 37 - Probabilistic method: Graphs of high girth and high chromatic number
Link	Graph Theory	Lecture 38 - Probabilistic method: Second moment method, Lovasz local lemma
Link	Graph Theory	Lecture 39 - Graph minors and Hadwiger’s conjecture
Link	Graph Theory	Lecture 40 - More on graph minors, tree decompositions
Link	High Performance Computing	Lecture 1 - Programs and Data
Link	High Performance Computing	Lecture 2 - Data Representation
Link	High Performance Computing	Lecture 3 - Registers and Memory
Link	High Performance Computing	Lecture 4 - Instructions, Addressing Modes
Link	High Performance Computing	Lecture 5 - A RISC Instruction Set
Link	High Performance Computing	Lecture 6 - A RISC Instruction Set (Continued...)
Link	High Performance Computing	Lecture 7 - Function Call and Return
Link	High Performance Computing	Lecture 8 - Function Call and Return (Continued...)
Link	High Performance Computing	Lecture 9 - Instruction Execution
Link	High Performance Computing	Lecture 10 - Instruction Execution (Continued...)
Link	High Performance Computing	Lecture 11 - Software organization
Link	High Performance Computing	Lecture 12 - System Calls
Link	High Performance Computing	Lecture 13 - Virtual memory
Link	High Performance Computing	Lecture 14 - Virtual memory (Continued...)
Link	High Performance Computing	Lecture 15 - Virtual Memory (Continued...)
Link	High Performance Computing	Lecture 16 - Process
Link	High Performance Computing	Lecture 17 - Process scheduling
Link	High Performance Computing	Lecture 18 - Process lifetime
Link	High Performance Computing	Lecture 19 - Interprocess communication
Link	High Performance Computing	Lecture 20 - Concurrent programming
Link	High Performance Computing	Lecture 21 - Pipelining
Link	High Performance Computing	Lecture 22 - Pipeline hazards
Link	High Performance Computing	Lecture 23 - Pipeline hazards (Continued...)
Link	High Performance Computing	Lecture 24 - Pipeline hazards (Continued...)
Link	High Performance Computing	Lecture 25 - Cache memory
Link	High Performance Computing	Lecture 26 - Memory hierarchy
Link	High Performance Computing	Lecture 27 - Cache operation
Link	High Performance Computing	Lecture 28 - Cache operation (Continued)
Link	High Performance Computing	Lecture 29 - Cache aware programming
Link	High Performance Computing	Lecture 30 - Cache aware programming (Continued...)
Link	High Performance Computing	Lecture 31 - More on cache
Link	High Performance Computing	Lecture 32 - Measuring time
Link	High Performance Computing	Lecture 33 - Program Profiling
Link	High Performance Computing	Lecture 34 - Secondary storage
Link	High Performance Computing	Lecture 35 - Files and disks
Link	High Performance Computing	Lecture 36 - Directories
Link	High Performance Computing	Lecture 37 - Protection and Performance
Link	High Performance Computing	Lecture 38 - Parallel architecture
Link	High Performance Computing	Lecture 39 - Cache coherence
Link	High Performance Computing	Lecture 40 - MPI programming
Link	High Performance Computing	Lecture 41 - MPI programming (Continued...)
Link	Numerical Optimization	Lecture 1 - Introduction
Link	Numerical Optimization	Lecture 2 - Mathematical Background
Link	Numerical Optimization	Lecture 3 - Mathematical Background (Continued...)
Link	Numerical Optimization	Lecture 4 - One Dimensional Optimization - Optimality Conditions
Link	Numerical Optimization	Lecture 5 - One Dimensional Optimization (Continued...)
Link	Numerical Optimization	Lecture 6 - Convex Sets
Link	Numerical Optimization	Lecture 7 - Convex Sets (Continued...)
Link	Numerical Optimization	Lecture 8 - Convex Functions
Link	Numerical Optimization	Lecture 9 - Convex Functions (Continued...)
Link	Numerical Optimization	Lecture 10 - Multi Dimensional Optimization - Optimality Conditions, Conceptual Algorithm
Link	Numerical Optimization	Lecture 11 - Line Search Techniques
Link	Numerical Optimization	Lecture 12 - Global Convergence Theorem
Link	Numerical Optimization	Lecture 13 - Steepest Descent Method
Link	Numerical Optimization	Lecture 14 - Classical Newton Method
Link	Numerical Optimization	Lecture 15 - Trust Region and Quasi-Newton Methods
Link	Numerical Optimization	Lecture 16 - Quasi-Newton Methods - Rank One Correction, DFP Method
Link	Numerical Optimization	Lecture 17 - i) Quasi-Newton Methods - Broyden Family ii) Coordinate Descent Method
Link	Numerical Optimization	Lecture 18 - Conjugate Directions
Link	Numerical Optimization	Lecture 19 - Conjugate Gradient Method
Link	Numerical Optimization	Lecture 20 - Constrained Optimization - Local and Global Solutions, Conceptual Algorithm
Link	Numerical Optimization	Lecture 21 - Feasible and Descent Directions
Link	Numerical Optimization	Lecture 22 - First Order KKT Conditions
Link	Numerical Optimization	Lecture 23 - Constraint Qualifications
Link	Numerical Optimization	Lecture 24 - Convex Programming Problem
Link	Numerical Optimization	Lecture 25 - Second Order KKT Conditions
Link	Numerical Optimization	Lecture 26 - Second Order KKT Conditions (Continued...)
Link	Numerical Optimization	Lecture 27 - Weak and Strong Duality
Link	Numerical Optimization	Lecture 28 - Geometric Interpretation
Link	Numerical Optimization	Lecture 29 - Lagrangian Saddle Point and Wolfe Dual
Link	Numerical Optimization	Lecture 30 - Linear Programming Problem
Link	Numerical Optimization	Lecture 31 - Geometric Solution
Link	Numerical Optimization	Lecture 32 - Basic Feasible Solution
Link	Numerical Optimization	Lecture 33 - Optimality Conditions and Simplex Tableau
Link	Numerical Optimization	Lecture 34 - Simplex Algorithm and Two-Phase Method
Link	Numerical Optimization	Lecture 35 - Duality in Linear Programming
Link	Numerical Optimization	Lecture 36 - Interior Point Methods - Affine Scaling Method
Link	Numerical Optimization	Lecture 37 - Karmarkar's Method
Link	Numerical Optimization	Lecture 38 - Lagrange Methods, Active Set Method
Link	Numerical Optimization	Lecture 39 - Active Set Method (Continued...)
Link	Numerical Optimization	Lecture 40 - Barrier and Penalty Methods, Augmented Lagrangian Method and Cutting Plane Method
Link	Numerical Optimization	Lecture 41 - Summary
Link	Storage Systems	Lecture 1 - Overview
Link	Storage Systems	Lecture 2 - Storage, Processing, Networking
Link	Storage Systems	Lecture 3 - Naming and Storing
Link	Storage Systems	Lecture 4 - Storage Filesystems
Link	Storage Systems	Lecture 5 - Access Architecture, Hard Disks
Link	Storage Systems	Lecture 6 - SCSI
Link	Storage Systems	Lecture 7 - Fibre Channel Protocol (FCP)
Link	Storage Systems	Lecture 8 - FCP, 10Gb Ethernet, iSCSI, TCP
Link	Storage Systems	Lecture 9 - NFS, NFSv2
Link	Storage Systems	Lecture 10 - NFSv2, NFSv3, NFSv4, CIFS
Link	Storage Systems	Lecture 11 - USB Storage
Link	Storage Systems	Lecture 12 - Tiering
Link	Storage Systems	Lecture 13 - Mobile/Personal/Organizational - type Storage
Link	Storage Systems	Lecture 14 - Parallel/Cloud/Web-scale Storage
Link	Storage Systems	Lecture 15 - Long-term Storage
Link	Storage Systems	Lecture 16 - Storage interfaces
Link	Storage Systems	Lecture 17 - User-Memory-CPU interactions
Link	Storage Systems	Lecture 18 - Spinlock, Concurrency
Link	Storage Systems	Lecture 19 - Block Layer design
Link	Storage Systems	Lecture 20 - FAT, TFAT, F2FS, LFS, FTL
Link	Storage Systems	Lecture 21 - Data Structures
Link	Storage Systems	Lecture 22 - Abstractions
Link	Storage Systems	Lecture 23 - Link & Write Operations
Link	Storage Systems	Lecture 24 - ZFS
Link	Storage Systems	Lecture 25 - RAID in Filesystems
Link	Storage Systems	Lecture 26 - RAID-Z, NetApp RAID4, Flash Filesystems
Link	Storage Systems	Lecture 27 - Reliability
Link	Storage Systems	Lecture 28 - Performance
Link	Storage Systems	Lecture 29 - Security
Link	Storage Systems	Lecture 30 - CAP Theorem
Link	Storage Systems	Lecture 31 - POSIX/NFS/S3/Zookeeper, ACID Vs. BASE
Link	Storage Systems	Lecture 32 - Consistency & Commit problems
Link	Storage Systems	Lecture 33 - Paxos
Link	Storage Systems	Lecture 34 - Group Communication problem
Link	Storage Systems	Lecture 35 - Message Ordering
Link	Storage Systems	Lecture 36 - Ordering Models
Link	Storage Systems	Lecture 37 - Orderings in Filesystems
Link	Storage Systems	Lecture 38 - Semantics of highly scalable filesystems
Link	Storage Systems	Lecture 39 - GFS
Link	Storage Systems	Lecture 40 - GFS Model
Link	Storage Systems	Lecture 41 - GFS functions and operations
Link	Storage Systems	Lecture 42 - GFS problems, BigTable
Link	Storage Systems	Lecture 43 - Lessons to learn
Link	System Analysis and Design	Lecture 1
Link	System Analysis and Design	Lecture 2
Link	System Analysis and Design	Lecture 3
Link	System Analysis and Design	Lecture 4
Link	System Analysis and Design	Lecture 5
Link	System Analysis and Design	Lecture 6
Link	System Analysis and Design	Lecture 7
Link	System Analysis and Design	Lecture 8
Link	System Analysis and Design	Lecture 9
Link	System Analysis and Design	Lecture 10
Link	System Analysis and Design	Lecture 11
Link	System Analysis and Design	Lecture 12
Link	System Analysis and Design	Lecture 13
Link	System Analysis and Design	Lecture 14
Link	System Analysis and Design	Lecture 15
Link	System Analysis and Design	Lecture 16
Link	System Analysis and Design	Lecture 17
Link	System Analysis and Design	Lecture 18
Link	System Analysis and Design	Lecture 19
Link	System Analysis and Design	Lecture 20
Link	System Analysis and Design	Lecture 21
Link	System Analysis and Design	Lecture 22
Link	System Analysis and Design	Lecture 23
Link	System Analysis and Design	Lecture 24
Link	System Analysis and Design	Lecture 25
Link	System Analysis and Design	Lecture 26
Link	System Analysis and Design	Lecture 27
Link	System Analysis and Design	Lecture 28
Link	System Analysis and Design	Lecture 29
Link	System Analysis and Design	Lecture 30
Link	System Analysis and Design	Lecture 31
Link	System Analysis and Design	Lecture 32
Link	System Analysis and Design	Lecture 33
Link	System Analysis and Design	Lecture 34
Link	System Analysis and Design	Lecture 35
Link	System Analysis and Design	Lecture 36
Link	System Analysis and Design	Lecture 37
Link	System Analysis and Design	Lecture 38
Link	System Analysis and Design	Lecture 39
Link	System Analysis and Design	Lecture 40
Link	Principles of Compiler Design	Lecture 1 - An Overview of a Compiler
Link	Principles of Compiler Design	Lecture 2 - Lexical Analysis - Part 1
Link	Principles of Compiler Design	Lecture 3 - Lexical Analysis - Part 2
Link	Principles of Compiler Design	Lecture 4 - Lexical Analysis - Part 3
Link	Principles of Compiler Design	Lecture 5 - Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 1
Link	Principles of Compiler Design	Lecture 6 - Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 2
Link	Principles of Compiler Design	Lecture 7 - Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 3
Link	Principles of Compiler Design	Lecture 8 - Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 4
Link	Principles of Compiler Design	Lecture 9 - Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 5
Link	Principles of Compiler Design	Lecture 10 - Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 6
Link	Principles of Compiler Design	Lecture 11 - Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 7
Link	Principles of Compiler Design	Lecture 12 - Semantic Analysis with Attribute Grammars Part - 1
Link	Principles of Compiler Design	Lecture 13 - Semantic Analysis with Attribute Grammars Part - 2
Link	Principles of Compiler Design	Lecture 14 - Semantic Analysis with Attribute Grammars Part - 3
Link	Principles of Compiler Design	Lecture 15 - Semantic Analysis with Attribute Grammars Part - 4
Link	Principles of Compiler Design	Lecture 16 - Semantic Analysis with Attribute Grammars Part - 5
Link	Principles of Compiler Design	Lecture 17 - Intermediate code generation Part - 1
Link	Principles of Compiler Design	Lecture 18 - Intermediate code generation Part - 2
Link	Principles of Compiler Design	Lecture 19 - Intermediate code generation Part - 3
Link	Principles of Compiler Design	Lecture 20 - Intermediate code generation Part - 4 (first half of lecture)
Link	Principles of Compiler Design	Lecture 21 - Run-time environments - 1 (second half of lecture)
Link	Principles of Compiler Design	Lecture 22 - Run-time environments - 2
Link	Principles of Compiler Design	Lecture 23 - Run-time environments - 3
Link	Principles of Compiler Design	Lecture 24 - Run-time environments - 4 (first half of lecture)
Link	Principles of Compiler Design	Lecture 25 - Control-Flow Graph and Local Optimizations - Part 1 (second half of lecture)
Link	Principles of Compiler Design	Lecture 26 - Control-Flow Graph and Local Optimizations - Part 2 (first half of lecture)
Link	Principles of Compiler Design	Lecture 27 - Machine code generation - 1 (second half of lecture)
Link	Principles of Compiler Design	Lecture 28 - Machine code generation - 2
Link	Principles of Compiler Design	Lecture 29 - Machine code generation - 3
Link	Principles of Compiler Design	Lecture 30 - Machine code generation - 4 (first half of lecture), Implementing object-oriented languages 1 (second half of lecture)
Link	Principles of Compiler Design	Lecture 31 - Implementing object-oriented languages 2 (first half of lecture)
Link	Principles of Compiler Design	Lecture 32 - Global register allocation - 1 (second half of lecture)
Link	Principles of Compiler Design	Lecture 33 - Global register allocation - 2
Link	Principles of Compiler Design	Lecture 34 - Global register allocation - 3
Link	Principles of Compiler Design	Lecture 35 - Introduction to Machine-Independent Optimizations - 1
Link	Principles of Compiler Design	Lecture 36 - Introduction to Machine-Independent Optimizations - 2
Link	Principles of Compiler Design	Lecture 37 - Introduction to Machine-Independent Optimizations - 3
Link	Principles of Compiler Design	Lecture 38 - Introduction to Machine-Independent Optimizations - 4
Link	Principles of Compiler Design	Lecture 39 - Introduction to Machine-Independent Optimizations - 5
Link	Principles of Compiler Design	Lecture 40 - Introduction to Machine-Independent Optimizations - 6
Link	Principles of Compiler Design	Lecture 41 - Introduction to Machine-Independent Optimizations - 7 (first half of lecture)
Link	Principles of Compiler Design	Lecture 42 - Instruction Scheduling and Software Pipelining - 1 (second half of lecture)
Link	Principles of Compiler Design	Lecture 43 - Instruction Scheduling and Software Pipelining - 2
Link	Principles of Compiler Design	Lecture 44 - Instruction Scheduling and Software Pipelining - 3 (first part of lecture)
Link	Principles of Compiler Design	Lecture 45 - Automatic parallelization - 1 (second half of lecture)
Link	Principles of Compiler Design	Lecture 46 - Automatic parallelization - 2
Link	NOC:Discrete Mathematics (IIITB)	Lecture 1 - Introduction to Mathematical Logic
Link	NOC:Discrete Mathematics (IIITB)	Lecture 2 - Logical Equivalence
Link	NOC:Discrete Mathematics (IIITB)	Lecture 3 - SAT Problem
Link	NOC:Discrete Mathematics (IIITB)	Lecture 4 - Rules of Inference
Link	NOC:Discrete Mathematics (IIITB)	Lecture 5 - Resolution
Link	NOC:Discrete Mathematics (IIITB)	Lecture 6 - Tutorial 1 - Part I
Link	NOC:Discrete Mathematics (IIITB)	Lecture 7 - Tutorial 1 - Part II
Link	NOC:Discrete Mathematics (IIITB)	Lecture 8 - Predicate Logic
Link	NOC:Discrete Mathematics (IIITB)	Lecture 9 - Rules of Inferences in Predicate Logic
Link	NOC:Discrete Mathematics (IIITB)	Lecture 10 - Proof Strategies - I
Link	NOC:Discrete Mathematics (IIITB)	Lecture 11 - Proof Strategies - II
Link	NOC:Discrete Mathematics (IIITB)	Lecture 12 - Induction
Link	NOC:Discrete Mathematics (IIITB)	Lecture 13 - Tutorial 2 - Part I
Link	NOC:Discrete Mathematics (IIITB)	Lecture 14 - Tutorial 2 - Part II
Link	NOC:Discrete Mathematics (IIITB)	Lecture 15 - Sets
Link	NOC:Discrete Mathematics (IIITB)	Lecture 16 - Relations
Link	NOC:Discrete Mathematics (IIITB)	Lecture 17 - Operations on Relations
Link	NOC:Discrete Mathematics (IIITB)	Lecture 18 - Transitive Closure of Relations
Link	NOC:Discrete Mathematics (IIITB)	Lecture 19 - Warshall’s Algorithm for Computing Transitive Closure
Link	NOC:Discrete Mathematics (IIITB)	Lecture 20 - Tutorial - 3
Link	NOC:Discrete Mathematics (IIITB)	Lecture 21 - Equivalence Relation
Link	NOC:Discrete Mathematics (IIITB)	Lecture 22 - Equivalence Relations and Partitions
Link	NOC:Discrete Mathematics (IIITB)	Lecture 23 - Partial Ordering
Link	NOC:Discrete Mathematics (IIITB)	Lecture 24 - Functions
Link	NOC:Discrete Mathematics (IIITB)	Lecture 25 - Tutorial 4 - Part I
Link	NOC:Discrete Mathematics (IIITB)	Lecture 26 - Tutorial 4 - Part II
Link	NOC:Discrete Mathematics (IIITB)	Lecture 27 - Countable and Uncountable Sets
Link	NOC:Discrete Mathematics (IIITB)	Lecture 28 - Examples of Countably Infinite Sets
Link	NOC:Discrete Mathematics (IIITB)	Lecture 29 - Cantor’s Diagonalization Argument
Link	NOC:Discrete Mathematics (IIITB)	Lecture 30 - Uncomputable Functions
Link	NOC:Discrete Mathematics (IIITB)	Lecture 31 - Tutorial - 5
Link	NOC:Discrete Mathematics (IIITB)	Lecture 32 - Basic Rules of Counting
Link	NOC:Discrete Mathematics (IIITB)	Lecture 33 - Permutation and Combination
Link	NOC:Discrete Mathematics (IIITB)	Lecture 34 - Counting Using Recurrence Equations
Link	NOC:Discrete Mathematics (IIITB)	Lecture 35 - Solving Linear Homogeneous Recurrence Equations - Part I
Link	NOC:Discrete Mathematics (IIITB)	Lecture 36 - Solving Linear Homogeneous Recurrence Equations - Part II
Link	NOC:Discrete Mathematics (IIITB)	Lecture 37 - Tutorial 6 - Part I
Link	NOC:Discrete Mathematics (IIITB)	Lecture 38 - Tutorial 6 - Part II
Link	NOC:Discrete Mathematics (IIITB)	Lecture 39 - Solving Linear Non-Homogeneous Recurrence Equations
Link	NOC:Discrete Mathematics (IIITB)	Lecture 40 - Catalan Numbers
Link	NOC:Discrete Mathematics (IIITB)	Lecture 41 - Catalan Numbers - Derivation of Closed Form Formula
Link	NOC:Discrete Mathematics (IIITB)	Lecture 42 - Counting Using Principle of Inclusion-Exclusion
Link	NOC:Discrete Mathematics (IIITB)	Lecture 43 - Tutorial - 7
Link	NOC:Discrete Mathematics (IIITB)	Lecture 44 - Graph Theory Basics
Link	NOC:Discrete Mathematics (IIITB)	Lecture 45 - Matching
Link	NOC:Discrete Mathematics (IIITB)	Lecture 46 - Proof of Hall’s Marriage Theorem
Link	NOC:Discrete Mathematics (IIITB)	Lecture 47 - Various Operations on Graphs
Link	NOC:Discrete Mathematics (IIITB)	Lecture 48 - Vertex and Edge Connectivity
Link	NOC:Discrete Mathematics (IIITB)	Lecture 49 - Tutorial - 8
Link	NOC:Discrete Mathematics (IIITB)	Lecture 50 - Euler Path and Euler Circuit
Link	NOC:Discrete Mathematics (IIITB)	Lecture 51 - Hamiltonian Circuit
Link	NOC:Discrete Mathematics (IIITB)	Lecture 52 - Vertex and Edge Coloring
Link	NOC:Discrete Mathematics (IIITB)	Lecture 53 - Tutorial 9 - Part I
Link	NOC:Discrete Mathematics (IIITB)	Lecture 54 - Tutorial 9 - Part II
Link	NOC:Discrete Mathematics (IIITB)	Lecture 55 - Modular Arithmetic
Link	NOC:Discrete Mathematics (IIITB)	Lecture 56 - Prime Numbers and GCD
Link	NOC:Discrete Mathematics (IIITB)	Lecture 57 - Properties of GCD and Bézout’s Theorem
Link	NOC:Discrete Mathematics (IIITB)	Lecture 58 - Linear Congruence Equations and Chinese Remainder Theorem
Link	NOC:Discrete Mathematics (IIITB)	Lecture 59 - Uniqueness Proof of the CRT
Link	NOC:Discrete Mathematics (IIITB)	Lecture 60 - Fermat’s Little Theorem, Primality Testing and Carmichael Numbers
Link	NOC:Discrete Mathematics (IIITB)	Lecture 61 - Group Theory
Link	NOC:Discrete Mathematics (IIITB)	Lecture 62 - Cyclic Groups
Link	NOC:Discrete Mathematics (IIITB)	Lecture 63 - Subgroups
Link	NOC:Discrete Mathematics (IIITB)	Lecture 64 - Discrete Logarithm and Cryptographic Applications
Link	NOC:Discrete Mathematics (IIITB)	Lecture 65 - More Applications of Groups
Link	NOC:Discrete Mathematics (IIITB)	Lecture 66 - Rings, Fields and Polynomials
Link	NOC:Discrete Mathematics (IIITB)	Lecture 67 - Polynomials Over Fields and Properties
Link	NOC:Discrete Mathematics (IIITB)	Lecture 68 - Finite Fields and Properties - I
Link	NOC:Discrete Mathematics (IIITB)	Lecture 69 - Finite Fields and Properties - II
Link	NOC:Discrete Mathematics (IIITB)	Lecture 70 - Primitive Element of a Finite Field
Link	NOC:Discrete Mathematics (IIITB)	Lecture 71 - Applications of Finite Fields
Link	NOC:Discrete Mathematics (IIITB)	Lecture 72 - Goodbye and Farewell
Link	NOC:Secure Computation: Part I	Lecture 1 - What is Secure MPC
Link	NOC:Secure Computation: Part I	Lecture 2 - Real-World Examples of Secure MPC
Link	NOC:Secure Computation: Part I	Lecture 3 - Various Dimensions to Study Secure MPC
Link	NOC:Secure Computation: Part I	Lecture 4 - Recap of Basic Concepts from Abstract Algebra
Link	NOC:Secure Computation: Part I	Lecture 5 - Recap of Basic Concepts from Abstract Algebra (Continued...)
Link	NOC:Secure Computation: Part I	Lecture 6 - Recap of Basic Concepts from Cryptography
Link	NOC:Secure Computation: Part I	Lecture 7 - Secret sharing
Link	NOC:Secure Computation: Part I	Lecture 8 - Additive Secret Sharing
Link	NOC:Secure Computation: Part I	Lecture 9 - Inefficient Threshold Secret Sharing
Link	NOC:Secure Computation: Part I	Lecture 10 - Polynomials Over Fields
Link	NOC:Secure Computation: Part I	Lecture 11 - Shamir Secret-Sharing
Link	NOC:Secure Computation: Part I	Lecture 12 - Linear secret-sharing
Link	NOC:Secure Computation: Part I	Lecture 13 - Linear Secret Sharing (Continued...)
Link	NOC:Secure Computation: Part I	Lecture 14 - General Secret Sharing
Link	NOC:Secure Computation: Part I	Lecture 15 - Perfectly-Secure Message Transmission
Link	NOC:Secure Computation: Part I	Lecture 16 - A Toy MPC Protocol
Link	NOC:Secure Computation: Part I	Lecture 17 - A Toy MPC Protocol (Continued...)
Link	NOC:Secure Computation: Part I	Lecture 18 - A Toy MPC Protocol (Continued...)
Link	NOC:Secure Computation: Part I	Lecture 19 - The BGW MPC Protocol
Link	NOC:Secure Computation: Part I	Lecture 20 - The BGW MPC Protocol for Linear Functions
Link	NOC:Secure Computation: Part I	Lecture 21 - The BGW MPC Protocol for Linear Functions: Security Analysis
Link	NOC:Secure Computation: Part I	Lecture 22 - The BGW MPC Protocol: The Case of Non-Linear Gates
Link	NOC:Secure Computation: Part I	Lecture 23 - The Degree-Reduction Problem
Link	NOC:Secure Computation: Part I	Lecture 24 - The Gennaro-Rabin-Rabin (GRR) Degree-Reduction Method
Link	NOC:Secure Computation: Part I	Lecture 25 - Analysis of the GRR, Degree-Reduction Method
Link	NOC:Secure Computation: Part I	Lecture 26 - Shared Circuit-Evaluation via GRR Degree-Reduction Method
Link	NOC:Secure Computation: Part I	Lecture 27 - Shared Circuit-Evaluation in the Pre-processing Model
Link	NOC:Secure Computation: Part I	Lecture 28 - Optimality of Corruption Bound for Perfectly-Secure MPC
Link	NOC:Secure Computation: Part I	Lecture 29 - Perfectly-Secure MPC Tolerating General (Non-Threshold) Adversaries
Link	NOC:Secure Computation: Part I	Lecture 30 - Perfectly-Secure MPC Tolerating General (Non-Threshold) Adversaries with Q^((2)) Condition
Link	NOC:Secure Computation: Part I	Lecture 31 - Perfectly-Secure MPC for Small Number of Parties
Link	NOC:Secure Computation: Part I	Lecture 32 - Perfectly-Secure 3PC (Continued...)
Link	NOC:Secure Computation: Part I	Lecture 33 - More Efficient Perfectly-Secure 3PC
Link	NOC:Secure Computation: Part I	Lecture 34 - More Efficient Perfectly-Secure 3PC (Continued...)
Link	NOC:Secure Computation: Part I	Lecture 35 - Towards Cryptographically-Secure MPC
Link	NOC:Secure Computation: Part I	Lecture 36 - GMW MPC protocol
Link	NOC:Secure Computation: Part I	Lecture 37 - Oblivious Transfer (OT)
Link	NOC:Secure Computation: Part I	Lecture 38 - RSA Assumption and RSA Hard-Core Predicate
Link	NOC:Secure Computation: Part I	Lecture 39 - Bit OT Based on RSA Assumption and Hard-Core Predicate
Link	NOC:Secure Computation: Part I	Lecture 40 - Discrete Logarithm and DDH Assumption
Link	NOC:Secure Computation: Part I	Lecture 41 - OT Based on the DDH Assumption
Link	NOC:Secure Computation: Part I	Lecture 42 - Pre-Processing Phase for the GMW Protocol
Link	NOC:Secure Computation: Part I	Lecture 43 - Pre-Processing Phase for the GMW Protocol: The n-Party Case
Link	NOC:Secure Computation: Part I	Lecture 44 - Pre-Processing Phase for the GMW Protocol (Continued...)
Link	NOC:Secure Computation: Part I	Lecture 45 - Pre-Processing of OT
Link	NOC:Secure Computation: Part I	Lecture 46 - OT Extension
Link	NOC:Secure Computation: Part I	Lecture 47 - Analysis of IKNP OT Extension
Link	NOC:Secure Computation: Part I	Lecture 48 - Yao’s Protocol for Secure 2PC
Link	NOC:Secure Computation: Part I	Lecture 49 - Yao’s Garbling Scheme
Link	NOC:Secure Computation: Part I	Lecture 50 - Yao’s Protocol for Secure 2PC
Link	NOC:Secure Computation: Part I	Lecture 51 - Optimizations for Yao’s Garbling
Link	NOC:Secure Computation: Part I	Lecture 52 - Interpreting Yao’s Secure 2PC Protocol as a Secret-Sharing Based Protocol
Link	NOC:Secure Computation: Part I	Lecture 53 - Mixed Protocols for Secure 2PC
Link	NOC:Secure Computation: Part I	Lecture 54 - The Arithmetic, Boolean and Yao Sharing for Secure 2PC
Link	NOC:Secure Computation: Part I	Lecture 55 - The ABY Conversions
Link	NOC:Secure Computation: Part I	Lecture 56 - The ABY Conversions (Continued...)
Link	NOC:Secure Computation: Part I	Lecture 57 - The ABY Conversions (Continued...)
Link	NOC:Secure Computation: Part I	Lecture 58 - ABY Computations : Example
Link	NOC:Secure Computation: Part I	Lecture 59 - Goodbye and Farewell
Link	NOC:Secure Computation - Part II	Lecture 1 - What is Secure Multi-Party Computation (MPC)?
Link	NOC:Secure Computation - Part II	Lecture 2 - Reliable Broadcast and Byzantine Agreement
Link	NOC:Secure Computation - Part II	Lecture 3 - EIG Protocol for Perfectly-Secure Byzantine Agreement
Link	NOC:Secure Computation - Part II	Lecture 4 - EIG Protocol for Perfectly-Secure Byzantine Agreement: Illustration
Link	NOC:Secure Computation - Part II	Lecture 5 - EIG Protocol for Perfectly-Secure Byzantine Agreement: Analysis - Part I
Link	NOC:Secure Computation - Part II	Lecture 6 - EIG Protocol for Perfectly-Secure Byzantine Agreement: Analysis - Part II
Link	NOC:Secure Computation - Part II	Lecture 7 - Efficient Protocols for Perfectly-Secure Byzantine Agreement - Part I
Link	NOC:Secure Computation - Part II	Lecture 8 - Efficient Protocols for Perfectly-Secure Byzantine Agreement - Part II
Link	NOC:Secure Computation - Part II	Lecture 9 - Domain Extension for Perfectly-Secure Byzantine Agreement
Link	NOC:Secure Computation - Part II	Lecture 10 - Cryptographically/Statistically-Secure Reliable Broadcast
Link	NOC:Secure Computation - Part II	Lecture 11 - Dolev-Strong Reliable Broadcast Protocol: Analysis
Link	NOC:Secure Computation - Part II	Lecture 12 - Randomized Protocol for Byzantine Agreement - Part I
Link	NOC:Secure Computation - Part II	Lecture 13 - Randomized Protocol for Byzantine Agreement - Part II
Link	NOC:Secure Computation - Part II	Lecture 14 - Randomized Protocol for Byzantine Agreement - Part III
Link	NOC:Secure Computation - Part II	Lecture 15 - Lower Bound for Number of Parties for Byzantine Agreement - Part I
Link	NOC:Secure Computation - Part II	Lecture 16 - Lower Bound for Number of Parties for Byzantine Agreement - Part II
Link	NOC:Secure Computation - Part II	Lecture 17 - Lower Bound for Number of Parties for Byzantine Agreement - Part III
Link	NOC:Secure Computation - Part II	Lecture 18 - Recap of Basic Concepts from Abstract Algebra
Link	NOC:Secure Computation - Part II	Lecture 19 - Reed-Solomon Error-Correcting Codes
Link	NOC:Secure Computation - Part II	Lecture 20 - Perfectly-Secure Message Transmission
Link	NOC:Secure Computation - Part II	Lecture 21 - Properties of Polynomials Over a Field - I
Link	NOC:Secure Computation - Part II	Lecture 22 - Properties of Polynomials Over a Field - II
Link	NOC:Secure Computation - Part II	Lecture 23 - One Round PSMT Protocol
Link	NOC:Secure Computation - Part II	Lecture 24 - Multi-Round PSMT Protocol - I
Link	NOC:Secure Computation - Part II	Lecture 25 - Multi-Round PSMT Protocol - II
Link	NOC:Secure Computation - Part II	Lecture 26 - Domain Extension for Perfectly-Secure Broadcast Based on RS Error-Correcting Codes - I
Link	NOC:Secure Computation - Part II	Lecture 27 - Domain Extension for Perfectly-Secure Broadcast Based on RS Error-Correcting Codes - II
Link	NOC:Secure Computation - Part II	Lecture 28 - Domain Extension for Perfectly-Secure Broadcast Based on RS Error-Correcting Codes - III
Link	NOC:Secure Computation - Part II	Lecture 29 - (n,t) - Star Structure
Link	NOC:Secure Computation - Part II	Lecture 30 - Domain Extension for Perfectly-Secure Broadcast Based on RS Error-Correcting Codes - IV
Link	NOC:Secure Computation - Part II	Lecture 31 - The BGW MPC Protocol for Passive Corruptions: Recap
Link	NOC:Secure Computation - Part II	Lecture 32 - The BGW MPC Protocol for Byzantine Corruptions: Challenges
Link	NOC:Secure Computation - Part II	Lecture 33 - Perfectly-Secure VSS: Necessary Condition
Link	NOC:Secure Computation - Part II	Lecture 34 - Bivariate Polynomials Over Finite Fields - I
Link	NOC:Secure Computation - Part II	Lecture 35 - Bivariate Polynomials Over Finite Fields - II
Link	NOC:Secure Computation - Part II	Lecture 36 - Bivariate Polynomials Over Finite Fields - III
Link	NOC:Secure Computation - Part II	Lecture 37 - Bivariate Polynomials Over Finite Fields - IV
Link	NOC:Secure Computation - Part II	Lecture 38 - Perfectly-Secure VSS with n greater than 3t - Part I
Link	NOC:Secure Computation - Part II	Lecture 39 - Perfectly-Secure VSS with n greater than 3t - Part II
Link	NOC:Secure Computation - Part II	Lecture 40 - Perfectly-Secure VSS with n greater than 3t - Part III
Link	NOC:Secure Computation - Part II	Lecture 41 - Perfectly-Secure VSS with n greater than 3t - A Round-Reducing Technique
Link	NOC:Secure Computation - Part II	Lecture 42 - Perfectly-Secure VSS with n greater than 4t - Part I
Link	NOC:Secure Computation - Part II	Lecture 43 - Perfectly-Secure VSS with n greater than 4t - Part II
Link	NOC:Secure Computation - Part II	Lecture 44 - The BGW MPC Protocol for Linear Functions
Link	NOC:Secure Computation - Part II	Lecture 45 - The BGW MPC Protocol for Linear Functions: Security Analysis
Link	NOC:Secure Computation - Part II	Lecture 46 - The BGW MPC Protocol: The Case of Non-Linear Gates
Link	NOC:Secure Computation - Part II	Lecture 47 - The Degree-Reduction Problem
Link	NOC:Secure Computation - Part II	Lecture 48 - Generating Random Multiplication-Triples - I
Link	NOC:Secure Computation - Part II	Lecture 49 - Generating Random Multiplication-Triples - II
Link	NOC:Secure Computation - Part II	Lecture 50 - Generating Random Multiplication-Triples - III
Link	NOC:Secure Computation - Part II	Lecture 51 - Perfectly-Secure Protocol for Verifying Multiplicative Relationship
Link	NOC:Secure Computation - Part II	Lecture 52 - Perfectly-Secure Verifiable Triple-Sharing Protocol
Link	NOC:Secure Computation - Part II	Lecture 53 - Perfectly-Secure Triple-Extraction Protocol
Link	NOC:Secure Computation - Part II	Lecture 54 - Towards Secure MPC with an Honest Majority
Link	NOC:Secure Computation - Part II	Lecture 55 - ICP from Information-Theoretic MAC - I
Link	NOC:Secure Computation - Part II	Lecture 56 - ICP from Information-Theoretic MAC - II
Link	NOC:Secure Computation - Part II	Lecture 57 - Ingredients for Statistically-Secure MPC
Link	NOC:Secure Computation - Part II	Lecture 58 - Statistically-Secure VSS
Link	NOC:Secure Computation - Part II	Lecture 59 - Cyclic Groups and Discrete Logarithm
Link	NOC:Secure Computation - Part II	Lecture 60 - Pedersen Commitment Scheme
Link	NOC:Secure Computation - Part II	Lecture 61 - Cryptographically-secure VSS and MPC
Link	NOC:Secure Computation - Part II	Lecture 62 - Goodbye and Farewell
Link	NOC:Introduction to Graph Algorithms	Lecture 1 - Introduction and Principles of Algorithms - Part 1
Link	NOC:Introduction to Graph Algorithms	Lecture 2 - Principles of Algorithms - Part 2
Link	NOC:Introduction to Graph Algorithms	Lecture 3 - Shortest Path Algorithms
Link	NOC:Introduction to Graph Algorithms	Lecture 4 - Undirected Graph
Link	NOC:Introduction to Graph Algorithms	Lecture 5 - Algorithms for finding Shortest Path - Part 1
Link	NOC:Introduction to Graph Algorithms	Lecture 6 - Algorithms for finding Shortest Path - Part 2
Link	NOC:Introduction to Graph Algorithms	Lecture 7 - Single source shortest path problem
Link	NOC:Introduction to Graph Algorithms	Lecture 8 - Properties of shortest path distances - Part 1
Link	NOC:Introduction to Graph Algorithms	Lecture 9 - Properties of shortest path distances - Part 2
Link	NOC:Introduction to Graph Algorithms	Lecture 10 - Belman Equation - Part 1
Link	NOC:Introduction to Graph Algorithms	Lecture 11 - Belman Equation - Part 2
Link	NOC:Introduction to Graph Algorithms	Lecture 12 - Belman Equation - Part 3
Link	NOC:Introduction to Graph Algorithms	Lecture 13 - Belman Equation - Part 4
Link	NOC:Introduction to Graph Algorithms	Lecture 14 - Bellman Ford - Part 1
Link	NOC:Introduction to Graph Algorithms	Lecture 15 - Bellman Ford - Part 2
Link	NOC:Introduction to Graph Algorithms	Lecture 16 - Dijkstra Algorithm - Part 1
Link	NOC:Introduction to Graph Algorithms	Lecture 17 - Dijkstra Algorithm - Part 2
Link	NOC:Introduction to Graph Algorithms	Lecture 18 - Dijkstra Algorithm - Part 3
Link	NOC:Introduction to Graph Algorithms	Lecture 19 - All Pair Shortest - Path 1
Link	NOC:Introduction to Graph Algorithms	Lecture 20 - All Pair Shortest - Path 2
Link	NOC:Introduction to Graph Algorithms	Lecture 21 - All Pair Shortest - Path 3 and 4
Link	NOC:Introduction to Graph Algorithms	Lecture 22 - All Pair Shortest - Path 5
Link	NOC:Introduction to Graph Algorithms	Lecture 23 - Prims Algorithm - Part 1
Link	NOC:Introduction to Graph Algorithms	Lecture 24 - Prims Algorithm - Part 2
Link	NOC:Introduction to Graph Algorithms	Lecture 25 - Kruskal's Algorithm - Part 1
Link	NOC:Introduction to Graph Algorithms	Lecture 26 - Kruskal's Algorithm - Part 2
Link	NOC:Introduction to Graph Algorithms	Lecture 27 - Kruskal's Algorithm - Part 3
Link	NOC:Introduction to Graph Algorithms	Lecture 28 - DFS
Link	NOC:Introduction to Graph Algorithms	Lecture 29 - DFS
Link	NOC:Introduction to Graph Algorithms	Lecture 30 - Algorithm for Cut Vertex
Link	NOC:Introduction to Graph Algorithms	Lecture 31 - Iterative DFS
Link	NOC:Introduction to Graph Algorithms	Lecture 32 - DFS in Directed Graph
Link	NOC:Introduction to Graph Algorithms	Lecture 33 - Strong Connected Components - Part 1
Link	NOC:Introduction to Graph Algorithms	Lecture 34 - Strong Connected Components - Part 2
Link	NOC:Introduction to Graph Algorithms	Lecture 35 - Strong Connected Components - Part 3
Link	NOC:Introduction to Graph Algorithms	Lecture 36 - Strong Connected Components - Part 4
Link	NOC:Introduction to Graph Algorithms	Lecture 37 - BFS
Link	NOC:Linear Algebra Through Geometry	Lecture 1 - Introduction to Linear Algebra and Matrices
Link	NOC:Linear Algebra Through Geometry	Lecture 2 - Geometry of System of linear equations - Straight lines andplanes, Matrix Definitions
Link	NOC:Linear Algebra Through Geometry	Lecture 3 - Some Interpretations to solutions of system of linear equations
Link	NOC:Linear Algebra Through Geometry	Lecture 4 - Matrix Operations, Homogeneous system of equations
Link	NOC:Linear Algebra Through Geometry	Lecture 5 - Matrix Operations, Homogeneous system of equations
Link	NOC:Linear Algebra Through Geometry	Lecture 6 - Elementary Row Operations
Link	NOC:Linear Algebra Through Geometry	Lecture 7 - Elementary Row operations - How do they work?
Link	NOC:Linear Algebra Through Geometry	Lecture 8 - Determinant and Inverse of a matrix
Link	NOC:Linear Algebra Through Geometry	Lecture 9 - Interpreting the inverse of a matrix
Link	NOC:Linear Algebra Through Geometry	Lecture 10 - Cramer's rule
Link	NOC:Linear Algebra Through Geometry	Lecture 11 - Points and Vectors in 2D
Link	NOC:Linear Algebra Through Geometry	Lecture 12 - Vector Length and properties
Link	NOC:Linear Algebra Through Geometry	Lecture 13 - Combining Vectors
Link	NOC:Linear Algebra Through Geometry	Lecture 14 - Linearly Independent and Dependent vectors, Dot Product of vectors
Link	NOC:Linear Algebra Through Geometry	Lecture 15 - Angle between two vectors, Orthogonal projections
Link	NOC:Linear Algebra Through Geometry	Lecture 16 - Lines and Parametric Equations of lines, Linear Maps
Link	NOC:Linear Algebra Through Geometry	Lecture 17 - Rotation, Shear and Projection transformations
Link	NOC:Linear Algebra Through Geometry	Lecture 18 - Determinant of 2x2 matrix as Area of Parallelogram,Determinant of linear transformations
Link	NOC:Linear Algebra Through Geometry	Lecture 19 - System of 2 linear equations in 2 unknowns from vector perspective
Link	NOC:Linear Algebra Through Geometry	Lecture 20 - Eigenvalues and eigenvectors
Link	NOC:Linear Algebra Through Geometry	Lecture 21 - Vectors in 3D, Linear combination of vectors in 3D
Link	NOC:Linear Algebra Through Geometry	Lecture 22 - Projectionvector on another vector, line passing through origin, plane passing through origin
Link	NOC:Linear Algebra Through Geometry	Lecture 23 - Area of a parallelogram in 3D, Cross product
Link	NOC:Linear Algebra Through Geometry	Lecture 24 - Interpreting the cross-product, Properties of cross-product
Link	NOC:Linear Algebra Through Geometry	Lecture 25 - Volume of a parallelepiped, Lines in 3D, Intersection of line and plane
Link	NOC:Linear Algebra Through Geometry	Lecture 26 - Linear Maps in 3D - Scaling and Reflection
Link	NOC:Linear Algebra Through Geometry	Lecture 27 - Linear Maps in 3D - Reflection about a plane, Shear
Link	NOC:Linear Algebra Through Geometry	Lecture 28 - Rotation in 3D
Link	NOC:Linear Algebra Through Geometry	Lecture 29 - Determinant and its properties
Link	NOC:Linear Algebra Through Geometry	Lecture 30 - eigenvalues and eigenvectors in 3D
Link	NOC:Linear Algebra Through Geometry	Lecture 31 - Linear systems in 3D and geometric perspective
Link	NOC:Linear Algebra Through Geometry	Lecture 32 - Homogeneous system in 3D
Link	NOC:Linear Algebra Through Geometry	Lecture 33 - LU Decomposition
Link	NOC:Linear Algebra Through Geometry	Lecture 34 - Least Squares Solution, Gram-Schmidt Orthogonalization, QRDecomposition
Link	NOC:Linear Algebra Through Geometry	Lecture 35 - Orthogonal Matrix, Linear Independence, eigenvalues and eigenvectors in 3D
Link	NOC:Linear Algebra Through Geometry	Lecture 36 - Vector Space and Properties
Link	NOC:Linear Algebra Through Geometry	Lecture 37 - Examples of vector spaces - Polynomial space, planes and lines through origin
Link	NOC:Linear Algebra Through Geometry	Lecture 38 - Vector Subspaces and their geometry
Link	NOC:Linear Algebra Through Geometry	Lecture 39 - Combining vectors in a vector space, Linear Independence
Link	NOC:Linear Algebra Through Geometry	Lecture 40 - Span, Basis, Dimension of a vector space, Fourier Expansion
Link	NOC:Linear Algebra Through Geometry	Lecture 41 - Homogeneous system of linear equations and null space of a matrix
Link	NOC:Linear Algebra Through Geometry	Lecture 42 - Column Space of A
Link	NOC:Linear Algebra Through Geometry	Lecture 43 - Subspaces associated matrix A transpose, Nullity, Rank
Link	NOC:Linear Algebra Through Geometry	Lecture 44 - Orthogonal Complement of a subspace
Link	NOC:Linear Algebra Through Geometry	Lecture 45 - Orientation of the four fundamental subspaces of a matrix A
Link	NOC:Linear Algebra Through Geometry	Lecture 46 - System of linear equations with no solution - Inconsistent systems
Link	NOC:Linear Algebra Through Geometry	Lecture 47 - Least squares solution, Pseudoinverse of A
Link	NOC:Linear Algebra Through Geometry	Lecture 48 - Projection and Projection Matrices
Link	NOC:Linear Algebra Through Geometry	Lecture 49 - Pseudoinverse of special matrices
Link	NOC:Linear Algebra Through Geometry	Lecture 50 - Eigendecomposition
Link	NOC:Linear Algebra Through Geometry	Lecture 51 - Eigensubspace and dimension
Link	NOC:Linear Algebra Through Geometry	Lecture 52 - Real Symmetric matrix and properties
Link	NOC:Linear Algebra Through Geometry	Lecture 53 - Eigenvalues and eigenvectors of real symmetric matrices
Link	NOC:Linear Algebra Through Geometry	Lecture 54 - Effect of a real symmetric matrix - Geometric Interpretation
Link	NOC:Linear Algebra Through Geometry	Lecture 55 - Spectral Theorem, Quadratic Forms
Link	NOC:Linear Algebra Through Geometry	Lecture 56 - Singular Value Decomposition
Link	NOC:Linear Algebra Through Geometry	Lecture 57 - Relationship between SVD and Eigen Decomposition
Link	NOC:Linear Algebra Through Geometry	Lecture 58 - An Interpretation of SVD
Link	NOC:Linear Algebra Through Geometry	Lecture 59 - Fourier Series and Transform through Linear Algebra
Link	NOC:Linear Algebra Through Geometry	Lecture 60 - Practical Applications of Linear Algebra - 1
Link	NOC:Linear Algebra Through Geometry	Lecture 61 - Practical Applications of Linear Algebra - 2
Link	NOC:Linear Algebra Through Geometry	Lecture 62 - Summary and Credits
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 1 - Course overview
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 2 - Molecular biology and high-throughput sequencing
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 3 - Data structures/Algorithms Warmup
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 4 - Bitvector rank operations
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 5 - Demo for constructing rank data structure
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 6 - Z-algorithm
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 7 - Suffix Arrays
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 8 - Suffix array construction using prefix doubling
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 9 - Demo for constructing suffix array
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 10 - Suffix Tree
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 11 - Building Suffix Trees
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 12 - Building Suffix Trees (Continued...)
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 13 - Applications of suffix trees
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 14 - Burrows Wheeler Indexes
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 15 - Burrows Wheeler Indexes (Continued...)
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 16 - How is BWT useful for indexing genomes ?
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 17 - Sequence Alignment and Edit Distance
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 18 - Global and semi-global alignment
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 19 - Local alignment
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 20 - Scoring gaps in alignments
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 21 - Alignment significance statitstics
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 22 - Alignment demonstration
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 23 - Heuristics for genome-scale alignment
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 24 - Maximal unique matches
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 25 - Co-linear chaining
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 26 - Incorporating gaps into the chaining algorithm
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 27 - IGV Demonstration
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 28 - Genome assembly
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 29 - Shortest common superstring
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 30 - Greedy algorithm for genome assembly
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 31 - Genome assembly using de Bruijn graphs
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 32 - Multiplex de Bruijn graphs and Overlap graphs
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 33 - Assembly Demonstration
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 34 - Introduction to phylogeny trees
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 35 - Distance based tree reconstruction
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 36 - Character based tree reconstruction
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 37 - Phylogenetic trees Demo
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 38 - Hidden Markov Models
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 39 - Hidden Markov Models (Continued...)
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 40 - ProtGPT2 Demo
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 41 - Pangenome Graphs
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 42 - Pangenome Demo
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 43 - Multiple Sequence Alignment
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 44 - Multiple Sequence Alignment Demo
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 45 - Sequence alignment to pangenome graphs
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 46 - Genomic Large Language Models
Link	NOC:Algorithms in Computational Biology and Sequence Analysis	Lecture 47 - Course Summary
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 1 - Introduction to Online Learning - I
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 2 - Introduction to Online Learning - II
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 3 - Basics of Statistical Learning
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 4 - Empirical risk minimization
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 5 - Consistency Halving algorithm
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 6 - Online Learnability
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 7 - Standard Optimal Algorithm
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 8 - Classification in unrealizability case
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 9 - Covers Impossibility Result
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 10 - Weighted Majority
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 11 - Proof Weighted Majority
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 12 - Full Information vs Bandit Setting
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 13 - Adversarial Bandit Setting
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 14 - Exponential Weights for Exploration and Exploitation Algorithm
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 15 - Regret Bound of Exp3
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 16 - Regret Bound of Exp3 (Continued...)
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 17 - Exp3.P and Exp3.IX
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 18 - Online Convex Optimisation
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 19 - Follow the Leader (FTL) Algorithm
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 20 - Follow the Regularized Leader
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 21 - Online Gradient Descent
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 22 - Strongly Convex Function
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 23 - FoReL with Strongly Convex Regulariser
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 24 - FoReL with Strongly Convex Regulariser (Continued...)
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 25 - Euclidean and Entropy Regularizer
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 26 - Introduction to Stochastic Bandits
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 27 - Concentration Inequalities
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 28 - Subgaussian Random Variable
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 29 - Regret Definition and Regret Decomposition
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 30 - Explore and Commit (ETC) Algorithm
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 31 - Regret Analysis and ETC
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 32 - Optimism in the Face of Uncertainty
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 33 - Upper Confidence Bound Algorithm
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 34 - Regret Analysis of UCB
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 35 - Problem Dependent and Independent Bounds of UCB
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 36 - KL-UCB Algorithm
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 37 - Thompson Sampling - Brief Discussion
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 38 - Proof Idea of Lower Bounds - 1
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 39 - Proof Idea of Lower Bounds - 2
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 40 - Proof of Lower Bound - 1
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 41 - Proof of Lower Bound - 2
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 42 - Stochastic Contextual Bandits
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 43 - Introduction to Stochastic Linear Bandits
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 44 - Stochastic Linear Bandits
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 45 - Regret Analysis of SLB - I
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 46 - Regret Analysis of SLB - II
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 47 - Regret Analysis of SLB - III
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 48 - Construction of Confidence Ellipsoids - I
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 49 - Construction of Confidence Ellipsoids - II
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 50 - Adversarial Contextual Bandits - I
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 51 - Adversarial Contextual Bandits - II
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 52 - Exp4 Algorithm
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 53 - Regret of Exp4
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 54 - Adversarial Linear Bandits
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 55 - Exp3 for Adversarial Linear Bandits
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 56 - Introduction to Pure Exploration and its lower bounds
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 57 - Uniform Exploration
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 58 - KL-LUCB
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 59 - Lil’ UCB
Link	NOC:Bandit Algorithm (Online Machine Learning)	Lecture 60 - Lower Bound for Pure Exploration Problem