DIGIMAT LEARNING MANAGEMENT PLATFORM

Computer Science and Engineering (10,866 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 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 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 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 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 - ϵ-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 ε-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 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 - Gaschnig’s Backjumping: The Culprit Variable
Link NOC:AI:Constraint Satisfaction Lecture 30 - Gaschnig’s 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 - Naïve 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 Lectuer: 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: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 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: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