subjectId	Discipline Name	Subject Name	Coordinators	Type	Institute	Content
106101007	Computer Science and Engineering	Natural Language Processing	Prof. Pushpak Bhattacharyya	Video	IIT Bombay	Select L1-Introduction L2-Stages of NLP L3-Stages of NLP Continue� L4-Two approaches to NLP L5-Sequence Labelling and Noisy Channel L6-Noisy Channel: Argmax Based Computation L7-Argmax Based Computation L8-Noisy Channel Application to NLP L9-Brief on Probabilistic Parsing & Start of Part of Speech Tagging L10-Part of Speech Tagging L11-Part of Speech Tagging counted� L12-Part of Speech Tagging counted� & Indian Language in Focus; Morphology Analysis L13-PoS Tagging contd� , Indian Language Consideration; Accuracy Measure L14-PoS Tagging; Fundamental Principle; Why Challenging; accuracy L15-PoS Tagging; Accuracy Measurement; Word categories L16-AI and Probability; HMM L17-HMM L18-HMM, Viterbi, Forward Backward Algorithm L19-HMM, Viterbi, Forward Backward Algorithm Contd.. L20-HMM, Forward Backward Algorithms, Baum Welch Algorithm L21-HMM, Forward Backward Algorithms, Baum Welch Algorithm Contd... L22-Natural Language Processing and Informational Retrieval L23-CLIA; IR Basics L24-IR Models: Boolean Vector L25-IR Models: NLP and IR Relationship L26-NLP and IR: How NLP has used IR, Toward Latent Semantic L27-Least Square Method; Recap of PCA; Towards Latent Semantic Indexing(LSI) L28-PCA; SVD; Towards Latent Semantic Indexing(LSI) L29-Wordnet and Word Sense Disambiguation L30-Wordnet and Word Sense Disambiguation(contd�) L31-Wordnet; Metonymy and Word Sense Disambiguation L32-Word Sense Disambiguation L33-Word Sense Disambiguation; Overlap Based Method; Supervised Method L34-Word Sense Disambiguation: Supervised and Unsupervised methods L35-Word Sense Disambiguation: Semi - Supervised and Unsupervised method; resource - constrained WSD L36-Resource Constrained WSD; Parsing L37-Parsing L38-Parsing Algorithm L39-Parsing Ambiguous Sentences; Probabilistic Parsing L40-Probabilistic Parsing Algorithms
106101060	Computer Science and Engineering	Design and Analysis of Algorithms	Prof. Abhiram G Ranade,Prof. Ajit A Diwan,Prof. Sundar Viswanathan	Video	IIT Bombay	Select Overview of the course Framework for Algorithms Analysis Algorithms Analysis Framework - II Asymptotic Notations Algorithm Design Techniques : Basics Divide And Conquer-I Divide And Conquer -II Median Finding Divide And Conquer -III Surfing Lower Bounds Divide And Conquer -IV Closest Pair Greedy Algorithms -I Greedy Algorithms - II Greedy Algorithms - III Greedy Algorithms - IV Pattern Matching - I Pattern Matching - II Combinational Search and Optimization I Combinational Search and Optimization II Dynamic Programming Longest Common Subsequences Matrix Chain Multiplication Scheduling with Startup and Holding Costs Average case Analysis of Quicksort Bipartite Maximum Matching Lower Bounds for Sorting Element Distinctness Lower Bounds NP-Completeness-I -Motivation NP - Completeness - II NP-Completeness - III NP-Completeness - IV NP-Completeness - V NP-Completeness - VI Approximation Algorithms Approximation Algorithms Approximation Algorithms for NP
106101061	Computer Science and Engineering	Software Engineering	Prof. Rushikesh K Joshi,Prof. Umesh Bellur,Prof. N.L. Sarda	Video	IIT Bombay	Select Introduction to Software Engineering-Challenges Introduction to Software Engineering Overview of Phases Overview of Phases Requirements Engineering / Specification Formal Specification Algebraic Specification Methods Systems Modeling Overview Process Modeling - DFD , Function Decomp Process Modeling - DFD, Function Decomp Data Modeling - ER Diagrams, Mapping Data Modeling - ER Diagrams, Mapping Production Quality Software - Introduction Software Design - Primary Consideration Design Patterns Class and Component Level Design Architectural Design Software Testing - I Software Testing - II Structural Programming and Some implementation Software Metrics and Quality Verification and Validation Case Study Case Study Software Evolution Agile Development Software Reuse CBSE Reuse Continued Introduction to Project Management Project Scope Management Project Time Management Estimation - I Estimation - II Project Quality Management Quality Management Systems - I Quality Management Systems Project Configuration Management Project Risk Management Other PM Processes
106102011	Computer Science and Engineering	Computational Geometry	Prof. Sandeep Sen	Video	IIT Delhi	Select Introduction Visibility Problems 2D Maxima Line Sweep Method Segment Intersection Problem Line Sweep: Rectangle Union Convex Hull Convex Hull Contd Quick Hull More Convex Hull Algorithms Intersection of Half Planes and Duality Intersection of Half Planes and Duality Contd Lower Bounds Planar Point Location Point Location and Triangulation Contd... Triangulation of Arbitrary Polygon. Voronoi Diagram : Properties Voronoi Diagram Construction Delaunay Triangulation. Quick sort and Backward Analysis Generalized RIC RIC Continued Arrangements Zone Theorem and Application Levels Range Searching : Introduction Orthogonal Range searching Priority Search Trees Non - Orthogonal Range Searching Half - Plane Range Query Well Separated Partitioning Quadtrees Epsilon -WSPD Construction of Epsilon - WSPD Epsilon - WSPD to Geometric Spanner Epsilon-Nets & VC Dimension Epsilon-Nets & VC Dimension contd Geometric Set Cover Geometric Set Cover (with Bounded VC Dimension) Shape Representation Shape Comparison
106102013	Computer Science and Engineering	Logic for CS	Prof. S. Arun Kumar	Video	IIT Delhi	Select Introduction Propositional Logic Syntax Semantics of Propositional Logic Logical and Algebraic Concepts Identities and Normal forms Tautology Checking Propositional Unsatisfiability Analytic Tableaux Consistency and Completeness The Completeness Theorem Maximally Consistent Sets Formal Theories Proof Theory : Hilbert-style Derived Rules The Hilbert System : Soundness The Hilbert System :Completeness Introduction to Predicate Logic The Semantic of Predicate Logic Subsitutions Models Structures and Substructures First - Order Theories Predicate Logic: Proof Theory (Contd..) Existential Quantification Normal Forms Skalemization Substitutions and Instantiations Unification Resolution in FOL More on Resolution in FOL Resolution : Soundness and Completeness Resolution and Tableaux Completeness of Tableaux Method Completeness of the Hilbert System First -Order Theories Towards Logic Programming Verification of Imperative Programs Verification of WHILE Programs References
106102062	Computer Science and Engineering	Computer Architecture	Prof. Anshul Kumar	Video	IIT Delhi	Select Introduction to Computer Architecture History of Computers Instruction Set Architecture - I Instruction Set Architecture - II Instruction Set Architecture - III Recursive Programs Architecture Space Architecture Examples Performance Performance Binary Arithmetic, ALU Design ALU Design, Overflow Multiplier Design Divider Design Fast Addition , Multiplication Floating Point Arithmetic Processor Design - Introduction Processor Design Processor Design - Simple Design Processor Design - Multi Cycle Approach Processor Design - Control for Multi Cycle Processor Design Micro programmed Control Processor Design Exception Handling Pipelined Processor Design Basic Idea Pipelined Processor Design: Data path Pipelined Processor Design: Handling Data Pipelined Processor Design Memory Hierarchy : Basic Idea Memory Hierarchy : Cache Organization Memory Hierarchy : Cache Organization Memory Hierarchy : Virtual Memory Memory Hierarchy : Virtual Memory Input / Output Subsystem: Introduction Input / Output Subsystem: Interfaces and buses Input / Output Subsystem: Interfaces and buses Input / Output Subsystem: I/O Operations Input / Output Subsystem: Designing I/O Systems Concluding Remarks
106102064	Computer Science and Engineering	Data Structures And Algorithms	Prof. Naveen Garg	Video	IIT Delhi	Select Introduction to Data Structures and Algorithms Stacks Queues and Linked Lists Dictionaries Hashing Trees Tree Walks / Traversals Ordered Dictionaries Deletion Quick Sort AVL Trees AVL Trees Trees Red Black Trees Insertion in Red Black Trees Disk Based Data Structures Case Study: Searching for Patterns Tries Data Compression Priority Queues Binary Heaps Why Sorting More Sorting Graphs Data Structures for Graphs Two Applications of Breadth First Search Depth First Search Applications of DFS DFS in Directed Graphs Applications of DFS in Directed Graphs Minimum Spanning Trees The Union Prims Algorithm for Minimum Spanning Trees Single Source Shortest Paths Correctness of Dijkstras Algorithm Single Source Shortest Paths
106102065	Computer Science and Engineering	Introduction to Computer Graphics	Prof. Prem K Kalra	Video	IIT Delhi	Select Introduction Raster Graphics Raster Graphics (Contd.) Clipping Polygon Clipping and Polygon Scan Conversion Transformations Transformations (contd.) 3D Viewing 3D Viewing (Contd.) Curves Assignment - I Curves (Contd.) Curves (Contd.) Curves (Contd.) Curves (Contd.) Surfaces Surfaces(Contd.) Surfaces(Contd.) Surfaces(Contd.) Hierarchical Models Rendering Rendering(Contd.) Rendering(Contd.) Ray Tracing Ray Tracing(Contd.) Ray Tracing(Contd.) Assignment: Ray Tracing Hidden Surface Elimination Hidden Surface Elimination(Contd.) Hidden Surface Elimination(Contd.) Fractals Fractals(Contd.) Computer Animation Animation(Contd.) Animation(Contd.)
106102067	Computer Science and Engineering	Principles of Programming Languages	Prof. S. Arun Kumar	Video	IIT Delhi	Select Introduction Syntax Grammars Ambiguity PLO:Syntax Semantics Syntactic Classes Transition Systems PL0 : Expressions Binding Environments Declarations Commands Stores Summary Declarations and Commands Blocks Qualification Pragmatics Data Structured Data Sequences Control Non- Determinacy Programming Languages Programming Languages Programming Languages Data as Functions Data and Fixpoints Normal Forms Programming Languages Monomorphism Polymorphism Type Checking Contexts Abstracts Procedures Meanings Parameters The Future
106102114	Computer Science and Engineering	Parallel Computing	Prof. Subodh Kumar	Video	IIT Delhi	Select Introduction Parallel Programming Paradigms Parallel Architecture Parallel Architecture (case studies) Open MP Open MP(Contd.) Open MP(Contd..) Open MP&PRAM Model of Computation PRAM Models of Parallel Computation,Complexity Memory Consistency Memory Consistency & Performance Issues Parallel Program Design Shared Memory & Message Passing MPI MPI(Contd.) MPI(Contd..) Algorithmic Techniques Algorithmic Techniques(Contd.) Algorithmic Techniques(Contd..) CUDA CUDA(Contd.) CUDA(Contd..) CUDA(Contd...) CUDA(Contd....) CUDA(Contd.....) CUDA(Contd......) Algorithms,Merging & Sorting Algorithms,Merging & Sorting(Contd.) Algorithms,Merging & Sorting(Contd..) Algorithms,Merging & Sorting(Contd...) Algorithms,Merging & Sorting(Contd....) Lower Bounds Lock Free Synchronization,Load Stealing Lock Free Synchronization,Graph Algorithms
106104120	Computer Science and Engineering	Parallel Algorithm	Prof. Phalguni Gupta	Video	IIT Kanpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25
106104028	Computer Science and Engineering	Theory of Computation	Prof. Somenath Biswas	Video	IIT Kanpur	Select Lecture-01-Theory of Computation Lecture-02-Theory of Computation Lecture-03-Theory of Computation Lecture-04-Theory of Computation Lecture-05-Theory of Computation Lecture-06-Theory of Computation Lecture-07-Theory of Computation Lecture-08-Theory of Computation Lecture-09-Theory of Computation Lecture-10-Theory of Computation Lecture-11-Theory of Computation Lecture-12-Theory of Computation Lecture-13-Theory of Computation Lecture-14-Theory of Computation Lecture-15-Theory of Computation Lecture-16-Theory of Computation Lecture-17-Theory of Computation Lecture-18-Theory of Computation Lecture-19-Theory of Computation Lecture-20-Theory of Computation Lecture-21-Theory of Computation Lecture-22-Theory of Computation Lecture-23-Theory of Computation Lecture-24-Theory of Computation Lecture-25-Theory of Computation Lecture-26-Theory of Computation Lecture-27-Theory of Computation Lecture-28-Theory of Computation Lecture-29-Theory of Computation Lecture-30-Theory of Computation Lecture-31-Theory of Computation Lecture-32-Theory of Computation Lecture-33-Theory of Computation
106104118	Computer Science and Engineering	Riemann Hypothesis and its Applications	Prof. Manindra Agrawal	Video	IIT Kanpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30
106104122	Computer Science and Engineering	Computer Architecture	Prof. Mainak Chaudhuri	Video	IIT Kanpur	Select Lecture-01-Introduction, Amdahl's law, CPI equation Lecture-02-CPI equation, research practices, instruction set architecture Lecture-03-Instruction set architecture Lecture-04-Instruction set architecture Lecture-05-Instruction set architecture, case study with MIPS-I Lecture-06-Case study with MIPS-I Lecture-07-Case study with MIPS-I Lecture-08-Binary instrumentation for architectural studies: PIN Lecture-09-Binary instrumentation for architectural studies: PIN Lecture-10-Basic pipelining, branch prediction Lecture-11-Basic pipelining, branch prediction Lecture-12-Basic pipelining, branch prediction Lecture-13-Basic pipelining, branch prediction Lecture-14-Basic pipelining, branch prediction Lecture-15-Basic pipelining, branch prediction Lecture-16-Basic pipelining, branch prediction Lecture-17-Basic pipelining, branch prediction Lecture-18-Basic pipelining, branch prediction Lecture-19-Basic pipelining, branch prediction Lecture-20-Dynamic scheduling, speculative execution Lecture-21-Dynamic scheduling, speculative execution Lecture-22-Dynamic scheduling, speculative execution Lecture-23-Dynamic scheduling, speculative execution Lecture-24-Dynamic scheduling, speculative execution Lecture-25-Virtual memory and caches Lecture-26-Virtual memory and caches Lecture-27-Virtual memory and caches Lecture-28-Topics in memory system, DRAM and SRAM technology Lecture-29-Topics in memory system, DRAM and SRAM technology Lecture-30-Topics in memory system, DRAM and SRAM technology Lecture-31-Case study: MIPS R10000 Lecture-32-Case study: MIPS R10000 Lecture-33-Case study: Alpha 21264 Lecture-34-Case study: Intel Pentium 4 Lecture-35-Input/Output Lecture-36-Simultaneous multithreading, multi-cores
106104123	Computer Science and Engineering	Computer Science and Compiler DesignComputer Architecture	Prof. Sanjeev K Aggarwal	Video	IIT Kanpur	Select Lecture-01 Lecture-02-Compiler Design Lecture-03-Compiler Design Lecture-04-Compiler Design Lecture-05-Compiler Design Lecture-06-Compiler Design Lecture-07-Compiler Design Lecture-08-Compiler Design Lecture-09-Compiler Design Lecture-10-Compiler Design Lecture-11-Compiler Design Lecture-12-Compiler Design Lecture-13-Compiler Design Lecture-14-Compiler Design Lecture-15-Compiler Design Lecture-16-Compiler Design Lecture-17-Compiler Design Lecture-18-Compiler Design Lecture-19-Compiler Design Lecture-20-Compiler Design Lecture-21-Compiler Design Lecture-22-Compiler Design Lecture-23-Compiler Design Lecture-24-Compiler Design Lecture-25-Compiler Design Lecture-26-Compiler Design Lecture-27-Compiler Design Lecture-28-Compiler Design Lecture-29-Compiler Design Lecture-30-Compiler Design
106105033	Computer Science and Engineering	High Performance Computer Architecture	Prof. Ajit Pal	Video	IIT Kharagpur	Select Introduction and Course Outline Performance Instruction Set Architecture MIPS ISA Processor MIPS ISA Processor (Contd.) Pipelining Introduction Instruction Pipelining Pipeline Hazards Data Hazards Software Pipelining In Quest of Higher ILP In Quest of Higher ILP (Contd.) Dynamic Instruction Scheduling Dynamic Instruction Scheduling (Contd.) Control Hazards Branch Prediction Branch Prediction (Contd.) Dynamic Instruction Scheduling with Branch Prediction Hardware Based Speculation Tutorial - I Hierarchical Memory Organization Hierarchical Memory Organization (Contd.) Hierarchical Memory Organization (Contd.) Hierarchical Memory Organization (Contd.) Cache Optimization Techniques (Contd.) Cache Optimization Techniques (Contd.) Main Memory Organization Main Memory Optimizations Virtual Memory Virtual Memory (Contd.) Virtual Machines Storage Technology Storage Technology (Contd.) Case Studies Case Studies (Contd.) Case Studies (Contd.) Multithreading and Multiprocessing Simultanoues Multithreading Symmetric Multiprocessors Distributed Memory Multiprocessors Cluster, Grid and Cloud Computing
106106046	Computer Science and Engineering	Pattern Recognition	Prof. Sukhendu Das, Prof. C.A. Murthy	Video	IIT Madras	Select Principles of Pattern Recognition I (Introduction and Uses) Principles of Pattern Recognition II (Mathematics) Principles of Pattern Recognition III (Classification and Bayes Decision Rule) Clustering vs. Classification Relevant Basics of Linear Algebra, Vector Spaces Eigen Value and Eigen Vectors Vector Spaces Rank of Matrix and SVD Types of Errors Examples of Bayes Decision Rule Normal Distribution and Parameter Estimation Training Set, Test Set Standardization, Normalization, Clustering and Metric Space Normal Distribution and Decision Boundaries I Normal Distribution and Decision Boundaries II Bayes Theorem Linear Discriminant Function and Perceptron Perceptron Learning and Decision Boundaries Linear and Non-Linear Decision Boundaries K-NN Classifier Principal Component Analysis (PCA) Fisher�s LDA Gaussian Mixture Model (GMM) Assignments Basics of Clustering, Similarity/Dissimilarity Measures, Clustering Criteria. K-Means Algorithm and Hierarchical Clustering K-Medoids and DBSCAN Feature Selection : Problem statement and Uses Feature Selection : Branch and Bound Algorithm Feature Selection : Sequential Forward and Backward Selection Cauchy Schwartz Inequality Feature Selection Criteria Function: Probabilistic Separability Based Feature Selection Criteria Function: Interclass Distance Based Principal Components Comparison Between Performance of Classifiers Basics of Statistics, Covariance, and their Properties Data Condensation, Feature Clustering, Data Visualization Probability Density Estimation Visualization and Aggregation Support Vector Machine (SVM) FCM and Soft-Computing Techniques Examples of Uses or Application of Pattern Recognition; And When to do clustering Examples of Real-Life Dataset
106108113	Computer Science and Engineering	Principles of Compiler Design	Prof. Y.N. Srikanth	Video	IISc Bangalore	Select An Overview of a Compiler Lexical Analysis - Part 1 Lexical Analysis - Part 2 Lexical Analysis - Part 3 Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 1 Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 2 Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 3 Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 4 Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 5 Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 6 Syntax Analysis: Context-free Grammars, Pushdown Automata and Parsing Part - 7 Semantic Analysis with Attribute Grammars Part 1 Semantic Analysis with Attribute Grammars Part 2 Semantic Analysis with Attribute Grammars Part 3 Semantic Analysis with Attribute Grammars Part 4 Semantic Analysis with Attribute Grammars Part 5 Intermediate code generation Part 1 Intermediate code generation Part 2 Intermediate code generation Part 3 Intermediate code generation Part 4 (first half of lecture) Run-time environments - 1 (second half of lecture) Run-time environments - 2 Run-time environments - 3 Run-time environments - 4 (first half of lecture) Control-Flow Graph and Local Optimizations - Part 1 (second half of lecture) Control-Flow Graph and Local Optimizations - Part 2 (first half of lecture) Machine code generation - 1 (second half of lecture) Machine code generation - 2 Machine code generation - 3 Machine code generation - 4 (first half of lecture), Implementing object-oriented languages 1 (second half of lecture) Implementing object-oriented languages 2 (first half of lecture) Global register allocation - 1 (second half of lecture) Global register allocation - 2 Global register allocation - 3 Introduction to Machine-Independent Optimizations - 1 Introduction to Machine-Independent Optimizations - 2 Introduction to Machine-Independent Optimizations - 3 Introduction to Machine-Independent Optimizations - 4 Introduction to Machine-Independent Optimizations - 5 Introduction to Machine-Independent Optimizations - 6 Introduction to Machine-Independent Optimizations - 7 (first half of lecture) Instruction Scheduling and Software Pipelining - 1 (second half of lecture) Instruction Scheduling and Software Pipelining - 2 Instruction Scheduling and Software Pipelining - 3 (first part of lecture) Automatic parallelization - 1 (second half of lecture) Automatic parallelization - 2
106103116	Computer Science and Engineering	Design Verification and Test of Digital VLSI Circuits	Prof. Jatindra Kumar Deka,Prof. Santosh Biswas	Video	IIT Guwahati	Select Introduction to Digital VLSI Design Flow High Level Design Representation Transformations for High Level Synthesis Introduction to HLS: Scheduling, Allocation and Binding Problem Scheduling Algorithms-1 Scheduling Algorithms-2 Binding and Allocation Algorithms Two level Boolean Logic Synthesis-1 Two level Boolean Logic Synthesis-2 Two level Boolean Logic Synthesis-3 Heuristic Minimization of Two-Level Circuits Finite State Machine Synthesis Multilevel Implementation Introduction to formal methods for design verification Temporal Logic: Introduction and Basic Operators Syntax and Semantics of CTL Syntax and Semantics of CTL � Continued Equivalence between CTL Formulas Introduction to Model Checking Model Checking Algorithms I Model Checking Algorithms II Model Checking with Fairness Binary Decision Diagram: Introduction and construction Ordered Binary Decision Diagram Operation on Ordered Binary Decision Diagram Ordered Binary Decision Diagram for State Transition Systems Symbolic Model Checking Introduction to Digital VLSI Testing Functional and Structural Testing Fault Equivalence Fault Simulation-1 Fault Simulation-2 Fault Simulation-3 Testability Measures (SCOAP) Introduction to Automatic Test Pattern Generation (ATPG) and ATPG Algebras D-Algorithm-1 D-Algorithm-2 ATPG for Synchronous Sequential Circuits Scan Chain based Sequential Circuit Testing-1 Scan Chain based Sequential Circuit Testing-2 Built in Self Test-1 Built in Self Test-2 Memory Testing-1 Memory Testing-2
106104019	Computer Science and Engineering	Computer Algorithms - 2	Prof. Shashank K. Mehta	Video	IIT Kanpur	Select Lecture-01-Graph_Basics Lecture-02-Breadth_First_Search Lecture-03-Dijkstra_Algo Lecture-04-All Pair Shortest Path Lecture-05-Matriods Lecture-06-Minimum Spanning Tree Lecture-07-Edmond's Matching Algo I Lecture-08-Edmond's Matching Algo II Lecture-09-Flow Networks Lecture-10-Ford Fulkerson Method Lecture-11-Edmond Karp Algo Lecture-12-Matrix Inversion Lecture-13-Matrix Decomposition Lecture-14-Knuth Morris Pratt Algo Lecture-15-Rabin Karp Algo Lecture-16-NFA Simulation Lecture-17-Integer-Polynomial OpsI Lecture-18-Integer-Polynomial OpsII Lecture-19-Integer-Polynomial OpsIII Lecture-20-Chinese RemainderI Lecture-21-Chinese RemainderII Lecture-22-Chinese RemainderIII Lecture-23-:Discrete Fourier TransformI Lecture-24-Discrete Fourier TransformII Lecture-25-Discrete Fourier TransformIII Lecture-26-Schonhage Strassen Algo Lecture-27-Linear ProgrammingI Lecture-28-Linear ProgrammingII Lecture-29-GeometryI Lecture-30-GeometryII Lecture-31-GeometryIII Lecture-32-Approximation AlgoI Lecture-33-Approximation AlgoII Lecture-34-Approximation AlgoIII Lecture-35-General: Dynamic Programming
106104074	Computer Science and Engineering	Introduction to Problem Solving and Programming	Prof. D. Gupta	Video	IIT Kanpur	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 21 Lecture 23 Lecture 24
106104119	Computer Science and Engineering	Biometrics	Prof. Phalguni Gupta	Video	IIT Kanpur	Select Lecture-01 Biometrics Lecture-02 Biometrics Lecture-03 Biometrics Lecture-04 Biometrics Lecture-05 Biometrics Lecture-06 Biometrics Lecture-07 Biometrics Lecture-08 Biometrics Lecture-09 Biometrics Lecture-10 Biometrics Lecture-11 Biometrics Lecture-12 Biometrics Lecture-13 Biometrics Lecture-14 Biometrics Lecture-15 Biometrics Lecture-16 Biometrics Lecture-17 Biometrics Lecture-18 Biometrics Lecture-19 Biometrics Lecture-20 Biometrics Lecture-21 Biometrics Lecture-22 Biometrics Lecture-23 Biometrics Lecture-24 Biometrics Lecture-25 Biometrics Lecture-26 Biometrics
106105031	Computer Science and Engineering	Cryptography and Network Security	Prof. Debdeep Mukhopadhyay	Video	IIT Kharagpur	Select Introduction Overview on Modern Cryptography Introduction to Number Theory Probability and Information Theory Classical Cryptosystems Cryptanalysis of Classical Ciphers Shannons Theory Shannons Theory (Contd...1) Shannons Theory (Contd...2) Symmetric Key Ciphers Block Cipher Standards (DES) Block Cipher Standards (AES) Block Cipher Standards (AES) (Contd.) Linear Cryptanalysis Differential Cryptanalysis Few other Cryptanalytic Techniques Overview on S-Box Design Principles Modes of Operation of Block Ciphers Stream Ciphers Stream Ciphers (Contd...1) Stream Ciphers (Contd...2) Pseudorandomness Cryptographic Hash Functions Cryptographic Hash Functions (Contd...1) Cryptographic Hash Functions (Contd...2) Message Authentication Codes More Number Theoretic Results The RSA Cryptosystem Primality Testing Factoring Algorithms Some Comments on the Security of RSA Discrete Logarithm Problem (DLP) The Diffie-Hellman Problem and Security of ElGamal Systems An Introduction to Elliptic Curve Cryptography Application of Elliptic Curves to Cryptography Implementation of Elliptic Curve Cryptography Secret Sharing Schemes A Tutorial on Network Protocols System Security Firewalls and Intrusion Detection Systems Side Channel Analysis of Cryptographic Implementations
106105034	Computer Science and Engineering	Low Power VLSI Circuits & Systems	Prof. Ajit Pal	Video	IIT Kharagpur	Select Introduction & Course Outline MOS Transistors - I MOS Transistors - II MOS Transistors - III MOS Transistors - IV MOS Inverters - I MOS Inverters - II MOS Inverters - III MOS Inverters - IV Static CMOS Circuits - I Static CMOS Circuits -II MOS Dynamic Circuits -I MOS Dynamic Circuits -II Pass Transistor Logic Circuits - I Pass Transistor Logic Circuits - II MOS Memories Finite State Machines Switching Power Dissipation Tutorial - I Dynamic Power Dissipation Leakage Power Dissipation Supply Voltage Scaling - I Supply Voltage Scaling - II Supply Voltage Scaling - III Supply Voltage Scaling - IV Tutorial - II Minimizing Switched Capacitance - I Minimizing Switched Capacitance - II Minimizing Switched Capacitance - III Minimizing Switched Capacitance - IV Minimizing Switched Capacitance - V Minimizing Leakage Power - I Minimizing Leakage Power - II Minimizing Leakage Power - III Variation Tolerant Design Adiabatic Logic Circuits Battery-Driven System Design CAD Tools for Low Power Tutorial - III Course Summary
106105036	Computer Science and Engineering	Real Time Systems	Prof. Rajib Mall	Video	IIT Kharagpur	Select Introduction Real - Time System Characteristics Few Basic Issues Modelling Timing Constraints Modelling Timing Constraints (Contd.) Basics of Real - Time Task Scheduling Cyclic Scheduler Event - Driven Scheduling Rate Monotonic Scheduler RMA Scheduling : Further Issues Deadline Monotonic Scheduling and Other Issues Few Issues in Use of RMA Resource Sharing Among Real-Time Tasks Highest Locker and Priority Ceiling Protocols An Analysis of Priority Ceiling Protocol Handling Task Dependencies Real-Time Task Scheduling on Multiprocessors and Distributed Systems Real-Time Task Scheduling on Multiprocessors and Distributed Systems (Contd.) Clock Synchronization in Distributed Real-Time Systems Internal Clock Synchronization in Presence of Byzantine Clocks A Few Basic Issues in Real-Time Operating Systems Tutorial - I A Few Basic Issues in Real-Time Operating Systems (Contd.) Unix and Windows as RTOS Real - Time POSIX Real - Time POSIX (Contd.) Open Source and Commercial RTOS Open Source and Commercial RTOS (Contd.) Benchmarking Real - Time Computer & Operating Systems Benchmarking Real - Time Computer & Operating Systems (Contd.) Real - Time Communications Few Basic Issues in Real - Time Communications Review of Computer Networking Real - Time Communication in a LAN Real - Time Communication in a LAN (Contd.) Performance of Two Real -Time Communication Protocols Real - Time Communication over Packet Switched Networks Real - Time Communication over Packet Switched Networks (Contd.) Real - Time Communication over Packet Switched Networks (Contd.) Real - Time Databases
106105077	Computer Science and Engineering	Artificial Intelligence	Prof. Anupam Basu,Prof. S. Sarkar	Video	IIT Kharagpur	Select Introduction to Artificial Intelligence Intelligent Agents State Space Search Uninformed Search Informed Search Informed Search - 2 Two Players Games - I Two Players Games - II Constraint Satisfaction Problems - 1 Constraint Satisfaction Problems 2 Knowledge Representation and Logic Interface in Propositional Logic First Order Logic Reasoning Using First Order Logic Resolution in FOPL Rule Based System Rule Based Systems II Semantic Net Reasoning in Semantic Net Frames Planning - 1 Planning - 2 Planning - 3 Planning - 4 Rule Based Expert System Reasoning with Uncertainty - I Reasoning with Uncertainty - II Reasoning with Uncertainty III Reasoning with Uncertainty - IV Fuzzy Reasoning - I Fuzzy Reasoning - II Introduction to Learning - I Introduction to Learning - II Rule Induction and Decision Trees - I Rule Induction and Decision Trees - II Learning Using neural Networks - I Learning Using Neural Networks - II Probabilistic Learning Natural Language Processing - I Natural Language Processing II
106105079	Computer Science and Engineering	Artificial Intelligence(Prof.P.Dasgupta)	Prof. P. Dasgupta	Video	IIT Kharagpur	Select Introduction to Artificial Intelligence Problem Solving by Search Searching with Costs Informed State Space Search Heuristic Search: A* and Beyond Problem Reduction Search: AND/OR Graphs Searching Game Trees Knowledge Based Systems: Logic and Deduction First Order Logic Inference in First Order Logic Resolution - Refutation Proofs Resolution Refutation Proofs Logic Programming : Prolog Prolog Programming Prolog: Exercising Control Additional Topics Introduction to Planning Partial Order Planning GraphPLAN and SATPlan SATPlan Reasoning under uncertainty Bayesian Networks Reasoning with Bayes Networks Reasoning with Bayes networks (Contd.) Reasoning under uncertainty: Issues Learning : Decision Trees Learning : Neural Networks Back Propagation Learning
106105081	Computer Science and Engineering	Computer Networks	Prof. Sujoy Ghosh	Video	IIT Kharagpur	Select Emergence of Networks & Reference Models Network Topology Physical Medium - I Physical Medium - II Multiplexing (Sharing a Medium) Telecom Networks Switches - I Pocket Switches SONET/SDH Fiber Optic Components Routing and Wavelength Assignment Protection and Restoration Multiple Access Token Based Mac Data Link Protocols Error Control Stop & Wait Protocol Satellite Communication Ethernet - CSMA/CD Modern Ethernet Local Internetworking Cellular Networks Wireless Network ATM : Asynchronous Transfer Mode ATM Signaling, Routing and LAN Emulation Introduction to Routing RIP - Distance Vector Routing IP version 4 IP Version 6 & Mobile IP UDP & Client Server TCP IP Multicasting DHCP and ICMP DNS & Directory Congestion Control QOS & Multimedia Network Management Security FTP - SMTP HTTP
106105082	Computer Science and Engineering	Data Communication	Prof. Ajit Pal	Video	IIT Kharagpur	Select Introduction and Course Outline - Data Communication Layered Architecture Data and Signal Transmission Impairments and Channel Capacity Guided Transmission Media Unguided Media Transmission of Digital Signal - I Transmission of Digital Signal - II Transmission of Analog Signal - I Transmission of Analog Signal - II Multiplexing Multiplexing Multiplexing Applications - I Multiplexing Applications - II Interfacing to the Media Error Detection and Correction Flow and Error Control Data Link Control Switching Techniques Circuit Switching Switching Techniques Packet Switching Routing - I Routing - II Congestion Control X.25 and Frame Relay ATM Medium Access Control - I Medium Access Control - II Medium Access Control - III IEEE 802 LANs High Speed LANs Wireless LANs Cellular Telephone Systems Satellite Communications Internet and Internetworking TCP/IP - I TCP/IP - II Multimedia Networks Audio and Video Compression Multimedia Services Secured Communication - I Secured Communication - II
106105083	Computer Science and Engineering	Electronic Design Automation	Prof. Indranil Sengupta	Video	IIT Kharagpur	Select Introduction Verilog: Part - I Verilog: Part - II Verilog: Part - III Verilog: Part - IV Verilog: Part - V Verilog: Part - VI Synthesis: Part - I Synthesis: Part - II Synthesis: Part - III Synthesis: Part - IV Synthesis: Part - V Synthesis: Part - VI Synthesis: Part - VII Backend Design: Part - I Backend Design: Part - II Backend Design: Part - III Backend Design: Part - IV Backend Design Part - V Backend Design Part - VI Backend Design Part - VII Backend Design Part - VIII Backend Design Part - IX Backend Design Part - X Backend Design Part - XI Backend Design Part - XII Backend Design Part - XIII Backend Design Part - XIV Backend Design Part - XV Testing Part - I Testing Part - II Testing Part - III Testing Part - IV Testing Part - V Testing Part - VI
106105084	Computer Science and Engineering	Internet Technology	Prof. Indranil Sengupta	Video	IIT Kharagpur	Select Introduction To Internet Review Of Network Technologies TCP/IP - Part-1 TCP/IP-Part-II TCP/IP-Part-III IP Subnetting and Addressing Internet Routing Protocol Part -I Internet Routing Protocol- Part-II Client Server Concepts DNS,Telnet,Ftp Electronic Mail World Wide Web Part-I World Wide Web - Part-II HTML-Part-I HTML-Part-II HTML-Part-III Extensible Markup Language (XML) Html Forms Image Maps CGI Scripts Other Technologies PERL Part-I PERL - Part II PERL-Part III PERL-Part IV Javascript -Part :I Javascript Examples (Continued) Using Cookies Java Applets -Part:I Java Applets - Part:2 Client-Server Programming In Java Intranet, Extranet,Firewall Basic Cryptographic Concepts Part - I Basic Cryptographic Concepts Part - II Basic Cryptographic Concepts Part - III Electronic Commerce Streaming Multimedia Applications Internet Telephony Search Engine And Web Crawler - Part-I Search Engine And Web Crawlers: Part-II Course Summary And Conclusion
106105085	Computer Science and Engineering	Programming and Data Structure	Prof. P.P.Chakraborty	Video	IIT Kharagpur	Select Introduction C Programming - I C Programming - II C Programming - III Data Structuring: Case Study - I Data Structuring: Case Study - II Data Structuring: Case Study - III Problem Decomposition By Recursion - I Problem Decomposition By Recursion - II Problem Decomposition By Recursion - III Merge sort And Quick sort Characters And Strings Arrays: Addresses And Contents Structures - I Structures - II Dynamic Allocation Part - I Linked Lists - I Complexity (Efficiency) of Algorithms Asymptotic Growth Functions Asymptotic Analysis of Algorithms Data Structuring Search Trees Search Trees - II Search Trees - III 2-3 Trees Algorithm Design - I Algorithm Design - II Algorithm Design - III Graphs - I Graphs - II Graphs - III Conclusions
106106048	Computer Science and Engineering	Performance Evaluation of Computer Systems	Prof. Krishna Moorthy Sivalingam	Video	IIT Madras	Select Introduction to performance evaluation of computer systems How to avoid common mistakes Selection of techniques and metrics Case study: Selection of techniques and metrics Random Variables and probability distributions Probability distributions-I Probability distributions-II Probability distributions-III Stochastic process Markov Chain Slotted Aloha protocol model and discrete-time birth death process Continuous time Markov chain and queuing theory-I Queuing theory � I (Continued) Queuing theory-II Queuing theory-III Queuing theory-IV Queuing theory-V Queuing theory-VI Queuing networks-I Queuing networks-II Slotted Aloha Markov model Simulations-I Simulations-II Simulations-III Operational laws-I Operational laws-II Open and closed queuing networks Approximate MVA Convolution algorithm-I Convolution algorithm-II Load-dependent service centers Hierarchical decomposition Balanced Job Bounds Confidence interval for propotions and introduction to experimental design 2k factorial design 2k r factorial design and 2k-p fractional factorial design Programming aspects of discrete-event simulations-I Programming aspects of discrete-event simulations-II Discrete-event simulations-III PetriNets-I PetriNets-II PetriNets-III
106106049	Computer Science and Engineering	Theory of Automata, Formal Languages and Computation	Prof. Kamala Krithivasan	Video	IIT Madras	Select GRAMMARS AND NATURAL LANGUAGE PROCESSING GRAMMARS AND LANGUAGES GENERATED GRAMMARS AND LANGUAGES GENERATED (Contd) AMBIGUITY IN CFG SIMPLICATION OF CFG REMOVAL OF UNIT PRODUCTIONS , CHOMSKY NORMAL FORM FOR CFG GREIBACH NORMAL FORM FOR CFG FINAL STATE AUTOMATA NON DETERMINISTIC FSA NON DETERMINISTIC FSA (Contd) NON DETERMINISTIC FSA WITH E(Epsilon)- MOVES EQUIVALENCE BETWEEN FSA AND TYPE 3 GRAMMARS REGULAR EXPRESSIONS , REGULAR EXPRESSIONS TO NFSA DFSA TO REGULAR EXPRESSIONS PROBLEMS AND SOLUTIONS-I PUMPING LEMMAS FOR REGULAR SETS AND CFL MYHILL - NERODE THEOREM MINIMIZATION OF DFSA FSA WITH OUTPUT MOORE AND MEALY MACHINES PUSHDOWN AUTOMATA PUSHDOWN AUTOMATA , EQUIVALENCE BETWEEN ACCEPTANCE BY EMPTY STORE AND ACCEPTANCE BY FINAL STATE PUSHDOWN AUTOMATA CFG TO PDA PUSHDOWN AUTOMATA PDA TO CFG PROBLEMS AND SOLUTIONS-II PROBLEMS AND SOLUTIONS - III TURING MACHINES TURING MACHINES (Contd) TURING MACHINE AS ACCEPTOR , TECHNIQUES FOR TM CONSTRUCTION GENERALIZED VERSIONS OF TURING MACHINES TURING MACHINE AS A GENERATING DEVICE RECURSIVE SETS , RECURSIVELY INNUMERABLE SETS , ENCODING OF TM , HALTING PROBLEM PROBLEMS AND INSTANCES , UNIVERSAL TM , DECIDABILITY RICE'S THEOREM , LINEAR BOUNDED AUTOMATA , PROPERTIES OF TM POST'S CORRESPONDENCE PROBLEMS POST'S CORRESPONDENCE PROBLEMS (Contd), TIME AND TAPE COMPLEXITY OT TM NP - COMPLETE PROBLEMS , COOK'S THEOREM NP - COMPLETE PROBLEMS (Contd) REGULATED REWRITING L - SYSTEMS GRAMMAR SYSTEMS DNA COMPUTING MEMBRANE COMPUTING
106106090	Computer Science and Engineering	Computer Graphics	Prof. Sukhendu Das	Video	IIT Madras	Select Introduction CRT Display Devices CRT Display Devices (Contd) CRT Display Devices (Contd) CRT Display Devices (Contd) Transformations in 2D Transformations in 2D (Contd) Three Dimensional Graphics Three Dimensional Graphics (Contd) Three Dimensional Graphics (Contd) Projection Transformations And Viewing Pipeline 3D Viewing - Projection Transformations And Viewing Pipeline Scan Converting Lines, Circles And Ellipses Scan Converting Lines, Circles And Ellipses (Contd) Scan Converting Lines, Circles And Ellipses (Contd) Scan Converting Lines, Circles And Ellipses (Contd) Scan Converting Lines, Circles And Ellipses (Contd) Polyfill- Scan Conversion Of A Polygon Scan Conversion Of A Polygon (Contd) Clipping - Lines And Polygons Clipping Lines And Polygons Clipping Lines Solid Modelling Solid Modelling Solid Modelling- (Contd) Visible Surface Detection Visible Surface Detection- (Contd) Visible Surface Detection- (Contd) Visible Surface Detection- (Contd) Visible Surface Detection- (Contd) Visible Surface Detection (Contd) Visible Surface Detection (Contd) Illumination And Shading Illumination And Shading (Contd) Illumination And Shading (Contd) Curve Representation Curve Representation (Contd) Curves And Surface Representation Graphics Programming Using Open GL Graphics Programming Using Open GL (Contd) Advanced Topics: Anti Aliasing,Color,Soft Objects,Animation,Visual Effects,System Architectures Digital Image Processing Image Compression-Jpeg-Enhancements Digital Image Processing (Contd)
106106092	Computer Science and Engineering	Computer Organization	Prof. S. Raman	Video	IIT Madras	Select Introduction To Computing Introduction To System : Software Introduction To System : Hardware Processor Activities Processor As a State Machine Data Path Architecture Data Path Controller : Micro Programmed State Machine Design Controller Design: Microprogrammed and Hardwired Controller Design (Contd) Typical Micro Instructions Addressing Modes Problem Exercise Problem Exercise Introduction to memory system CPU - Memory Interaction Cache Organization Cache Organization Virtual Memory Virtual Memory Performance Calculation Segmentation Address Translation and Protection Programmed I/O Interrupt Driven I/O DMA : Direct Memory Access Device Service Routines Evolution Of I/O I/O Devices I/O Devices - Contd Buses Buses Contd Conclusion
106106093	Computer Science and Engineering	Database Design	Prof. D. Janaki Ram,Prof. S. Srinath	Video	IIT Madras	Select Introduction to Database Management System Conceptual Designs Conceptual Designs Relational Model Relational Model Structured Query Language Structured Query Language II ER Model to Relational Mapping Functional Dependencies and Normal Form ER Model to Relational Model Mapping Storage Structures Indexing Techniques Single Level Indexing Techniques Multi-Level Constraints and Triggers Query Processing and Optimization Query Processing and Optimization II Query Processing and Optimization - III Transaction Processing Concepts Transaction Processing and Database Manager Foundation for Concurrency Control Concurrency Control Part - I Concurrency Control Part - 2 Concurrency Control Part - 3 Concurrency Control Part - 4 Distributed Transaction Models Basic 2-Phase and 3-phase commit protocol Concurrency Control for Distributed Transaction Introduction to Transaction Recovery Recovery Mechanisms II Recovery Mechanisms III Introduction to Data Warehousing and OLAP Introduction to Data Warehousing and OLAP Case Study : MYSQL Case Study ORACLE and Microsoft Access Data Mining and Knowledge Discovery Data Mining and Knowledge Discovery Part II Object Oriented Databases Object Oriented Databases II XML - Introductory Concepts XML Advanced Concepts XML Databases Case Study - Part One Database Design Case Study - Part 2 Database Design
106106094	Computer Science and Engineering	Discrete Mathematical Structures	Prof. Kamala Krithivasan	Video	IIT Madras	Select Propositional Logic Propositional Logic (Contd.) Predicates & Quantifiers Predicates & Quantifiers (Contd.) Logical Inference Resolution Principles & Application to PROLOG Methods of Proof Normal Forms Proving programs correct (Contd.) Sets Induction Set Operations On Strings Relations Graphs Graphs (Continued) Trees Trees And Graphs Special Properties Of Relations Closure Of Relations Closure Properties Of Relations Order Relations Order Relations And Equivalence Relations Equivalence Relations And Partitions Functions Functions (Continued) Functions (Continued) Pigeonhole Principle Permutations And Combinations Permutations And Combinations (Continued) Generating Functions Generating Functions (Continued) Recurrence Relations Recurrence Relations (Continued) Recurrence Relations (Continued) Algebras Algebras (Continued) Algebras (Continued) Finite State Automaton Finite State Automaton (Continued) Lattices
106108051	Computer Science and Engineering	Combinatorics	Prof. L. Sunil Chandran	Video	IISc Bangalore	Select Pigeon hole principle - (Part 1) Pigeon hole principle - (Part 2) Pigeon hole principle - (Part 3) Pigeon hole principle - (Part 4) Elementary concepts and basic counting principles Elementary concepts; Binomial theorem; Bijective proofs - Part (1) Bijective proofs � Part (2) Bijective proofs - Part (3); Properties of binomial coefficients; Combinatorial identities - Part (1) Combinatorial identities - Part (2); Permutations of multisets � Part (1) Permutations of multisets � Part (2) Multinomial Theorem, Combinations of Multisets � Part (1) Combinations of Multisets - Part (2) Combinations of Multisets � Part (3), Bounds for binomial coefficients Sterling�s Formula, Generalization of Binomial coefficients - Part (1) Generalization of Binomial coefficients - Part (2) Generalization of Binomial coefficients - Part (3); Double counting - Part (1) Double counting - Part (2) Hall�s Theorem for regular bipartite graphs; Inclusion exclusion principle - Part (1) Inclusion exclusion principle - Part (2) Inclusion exclusion principle - Part (3) Inclusion exclusion principle - Part (4) Inclusion exclusion principle - Part (5) Recurrence Relations - Part (1) Recurrence Relations - Part (2) Recurrence Relations - Part (3) Recurrence Relations - Part (4) Recurrence Relations - Part (5) Generating functions - Part (1) Generating functions - Part (2) Solving recurrence relations using generating functions - Part (1) Solving recurrence relations using generating functions - Part (2) Exponential generating functions - Part (1) Exponential generating functions - Part (2), Partition Number - Part (1) Partition Number - Part (2) Partition Number - Part (3) Partition Number - Part (4); Catalan Numbers - Part (1) Catalans Numbers - Part (2) Catalan Numbers - Part (3), Sterling numbers of the 2nd kind Difference Sequences Sterling Numbers Summary
106108052	Computer Science and Engineering	Compiler Design	Prof. Y.N. Srikanth	Video	IISc Bangalore	Select An Overview of a Compiler - Part 1 An Overview of a Compiler - Part 2 and Run-Time Environments - Part 1 An Overview of a Compiler Part 2 and Run-Time Environments - Part 1 Run-Time Environments - Part 2 Run-Time Environments - Part 3 and Local Optimizations - Part 1 Run-Time Environments Part 3 and Local Optimizations - Part 1 Local Optimizations - Part 2 and Code Generation Part 1 Local Optimizations - Part 2 and Code Generation - Part 1 Code Generation - Part 1 Code Generation - Part 2 Code Generation - Part 3 and Global Register Allocation - Part 1 Code Generation - Part 3 and Global Register Allocation Part 1 Global Register Allocation - Part 2 Global Register Allocation - Part 3 and Implementing Object-Oriented Languages - Part 1 Global Register Allocation - Part 3 and Implementing Object-Oriented Languages Part 1 Implementing Object-Oriented Languages - Part 2 and Introduction to Machine-Independent Optimizations - Part 1 Implementing Object-Oriented Languages - Part 2 and Introduction to Machine-Independent Optimizations Part 1 Introduction to Machine-Independent Optimizations - Part 2 and Data-Flow Analysis - Part 1 Introduction to Machine-Independent Optimizations - Part 2 and Data-Flow Analysis Part 1 Data-Flow Analysis - Part 2 Data-Flow Analysis - Part 3 and Control-Flow Analysis - Part 1 Data-Flow Analysis - Part 3 and Control-Flow Analysis Part 1 Control-Flow Analysis - Part 2 Machine-Independent Optimizations - Part 1 Machine-Independent Optimizations - Part 2 Machine-Independent Optimizations - Part 3 and Data-Flow Analysis: Theoretical Foundation - Part 1 Machine-Independent Optimizations - Part 3 and Data-Flow Analysis: Theoretical Foundation Part 1 Data-Flow Analysis: Theoretical Foundation - Part 2 and Partial Redundancy Elimination - Part 1 Data-Flow Analysis: Theoretical Foundation - Part 2 and Partial Redundancy Elimination Part 1 Partial Redundancy Elimination - Part 2 The Static Single Assignment Form: Construction and Application to Program Optimizations - Part 1 The Static Single Assignment Form: Construction and Application to Program Optimizations - Part 2 The Static Single Assignment Form: Construction and Application to Program Optimizations - Part 3 Automatic Parallelization - Part 1 Automatic Parallelization - Part 2 Automatic Parallelization - Part 3 Automatic Parallelization - Part 4 Instruction Scheduling - Part 1 Instruction Scheduling - Part 2 Instruction Scheduling - Part 3 Software Pipelining Energy-Aware Software Systems - Part 1 Energy-Aware Software Systems - Part 2 Energy-Aware Software Systems - Part 3 Energy-Aware Software Systems - Part 4 Just-In-Time Compilation and Optimizations for .NET CLR Garbage Collection Interprocedural Data-Flow Analysis Worst Case Execution Time - Part 1 Worst Case Execution Time - Part 2
106108054	Computer Science and Engineering	Graph Theory	Prof. L. Sunil Chandran	Video	IISc Bangalore	Select Introduction: Vertex cover and independent set Matchings: Konig�s theorem and Hall�s theorem More on Hall�s theorem and some applications Tutte�s theorem on existence of a perfect matching More on Tutte�s theorem More on Matchings Dominating set, path cover Gallai � Millgram theorem, Dilworth�s theorem Connectivity: 2-connected and 3- connected graphs Menger�s theorem More on connectivity: k- linkedness Minors, topological minors and more on k- linkedness Vertex coloring: Brooks theorem More on vertex coloring Edge coloring: Vizing�s theorem Proof of Vizing�s theorem, Introduction to planarity 5- coloring planar graphs, Kuratowsky�s theorem Proof of Kuratowsky�s theorem, List coloring List chromatic index Adjacency polynomial of a graph and combinatorial Nullstellensatz Chromatic polynomial, k - critical graphs Gallai-Roy theorem, Acyclic coloring, Hadwiger�s conjecture Perfect graphs: Examples Interval graphs, chordal graphs Proof of weak perfect graph theorem (WPGT) Second proof of WPGT, Some non-perfect graph classes More special classes of graphs Boxicity,Sphericity, Hamiltonian circuits More on Hamiltonicity: Chvatal�s theorem Chvatal�s theorem, toughness, Hamiltonicity and 4-color conjecture Network flows: Max flow mincut theorem More on network flows: Circulations Circulations and tensions More on circulations and tensions, flow number and Tutte�s flow conjectures Random graphs and probabilistic method: Preliminaries Probabilistic method: Markov�s inequality, Ramsey number Probabilistic method: Graphs of high girth and high chromatic number Probabilistic method: Second moment method, Lovasz local lemma Graph minors and Hadwiger�s conjecture More on graph minors, tree decompositions
106108055	Computer Science and Engineering	High Performance Computing	Prof. Mathew Jacob	Video	IISc Bangalore	Select Programs and Data Data Representation Registers and Memory Instructions, Addressing Modes A RISC Instruction Set A RISC Instruction Set (contd) Function Call and Return Function Call and Return (contd) Instruction Execution Instruction Execution (contd) Software organization System Calls Virtual memory Virtual memory (contd) Virtual Memory (cont) Process Process scheduling Process lifetime Interprocess communication Concurrent programming Pipelining Pipeline hazards Pipeline hazards (contd) Pipeline hazards (contd.) Cache memory Memory hierarchy Cache operation Cache operation (contd) Cache aware programming Cache aware programming (contd) More on cache Measuring time Program Profiling Secondary storage Files and disks Directories Protection and Performance Parallel architecture Cache coherence MPI programming MPI programming (contd)
106108056	Computer Science and Engineering	Numerical Optimization	Prof. Shirish K. Shevade	Video	IISc Bangalore	Select Introduction Mathematical Background Mathematical Background (contd) One Dimensional Optimization - Optimality Conditions One Dimensional Optimization (contd) Convex Sets Convex Sets (contd) Convex Functions Convex Functions (contd) Multi Dimensional Optimization - Optimality Conditions, Conceptual Algorithm Line Search Techniques Global Convergence Theorem Steepest Descent Method Classical Newton Method Trust Region and Quasi-Newton Methods Quasi-Newton Methods - Rank One Correction, DFP Method i) Quasi-Newton Methods - Broyden Family ii) Coordinate Descent Method Conjugate Directions Conjugate Gradient Method Constrained Optimization - Local and Global Solutions, Conceptual Algorithm Feasible and Descent Directions First Order KKT Conditions Constraint Qualifications Convex Programming Problem Second Order KKT Conditions Second Order KKT Conditions (contd) Weak and Strong Duality Geometric Interpretation Lagrangian Saddle Point and Wolfe Dual Linear Programming Problem Geometric Solution Basic Feasible Solution Optimality Conditions and Simplex Tableau Simplex Algorithm and Two-Phase Method Duality in Linear Programming Interior Point Methods - Affine Scaling Method Karmarkar\'s Method Lagrange Methods, Active Set Method Active Set Method (contd) Barrier and Penalty Methods, Augmented Lagrangian Method and Cutting Plane Method Summary
106108102	Computer Science and Engineering	System Analysis and Design	Prof. V. Rajaraman	Video	IISc Bangalore	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40
122106033	Computer Science and Engineering	Numerical Analysis and Computer Programming	Prof. P.B. Sunil Kumar	Video	IIT Madras	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38
NOC	Computer Science and Engineering	Computer Architecture	Prof.Madhu Mutyam	Video	IIT Madras	Select Introduction to Computer Architecture Quantitative Principles of Computer Design (cont'd) Instruction Set Principles-Part 1 Instruction Set Principles-Part 2 Instruction Set Principles-Part 3 Cache Memory Hierarchy - Part 1 Cache Memory Hierarchy - Part 2 Cache Memory Hierarchy - Part 3 Cache Memory Hierarchy - Part 4 Main Memory Design - Part 1 Main Memory Design - Part 2 Main Memory Design - Part 3 Fundamentals of Pipelining - Part 1 Fundamentals of Pipelining - Part 2 Fundamentals of Pipelining - Part 3 Fundamentals of Pipelining - Part 4 Fundamentals of Pipelining - Part 5 Scalar to Superscalar pipeline Instruction Dependencies Compiler optimizations for Exposing ILP Advanced Branch Prediction Techniques - Part 1 Advanced Branch Prediction Techniques - Part 2 Superscalar Organization Register RenamingClassifier Tomasulo Algorithm Dynamic Execution Core Multi-threading Multicore Processor Architecture Cache Coherence Cache Coherence Protocol Design Synchronization Memory Consistency - Part 1 Memory Consistency - Part 2
NOC	Computer Science and Engineering	Fundamentals of Database Systems	Prof. Arnab Bhattacharya	Video	IIT Kanpur	Select Introduction to Databases Relational Data Model Relational Algebra Basic Operators Relational Algebra Composition of Operators Relational Algebra Additional Operators Relational Algebra Extended Relational Algebra Relational Algebra: Database Modifications SQL: Introduction and Data Definition SQL: Basic Queries SQL: Advanced Queries SQL: Updates, Joins, Views and Triggers Normalization Theory: Motivation Normalization Theory: 1 NF and 2NF Normalization Theory: 3NF Normalization Theory: BCNF Normalization Theory: MVD Physical Design Database Indexing: Hashing Database Indexing: Tree-based Indexing Query Processing: Selection Query Processing: Sorting Query Processing: Nested-Loop joins and Merge join Query Processing: Hash join and other Operations Query Optimization: Equivalent Expressions and Simple Equivalance Rules Query Optimization: Complex Equivalence Rules Query Optimization: Join Order Query Optimization: Heuristics and Sizes Database Transactions: Properties and Failures Database Transactions: States and Systems Recovery Systems: Deferred Database Modification Recovery Systems: Immediate Database Modification Recovery Systems: Checkpointing and Shadow Paging Schedules: Introduction Schedules: Conflict Serializability Schedules: View Serializability Schedules: Result Equivalence and Testing for Serializability Schedules: Recoverability Concurrency Control: Locks Concurrency Control: Two-phase Locking Protocol Concurrency Control: Timestamp Ordering Protocol Concurrency Control: Validation-based Protocol Concurrency Control: Multiple Granularity for Locks Concurrency Control: Deadlock Prevention and Deadlock Detection Concurrency Control: Deadlock Recovery and Update Operations NoSQL: Introduction and Properties NoSQL: Columnar Families NoSQL: Different NoSQL Systems Big Data
NOC	Computer Science and Engineering	Model Checking	Prof. B. Srivathsan	Video	IIT Madras	Select Course Overview Module 1: Modeling code behaviour Module 2: Modeling hardware circuits Module 3: Modeling data-dependent programs Module 4: Modeling concurrent systems Summary Module 1: Model checking tools Module 2: Simple models in NuSMV Module 3: Hardware verification using NuSMV Module 4: Modeling concurrent systems in NuSMV Summary. Module 1: A problem in concurrency Module 2: What is a property? Module 3: Invariants Module 4: Safety properties Module 5: Liveness properties Summary.. Module 1: Road map Module 2: A gentle introduction to automata Module 3: Simple properties of finite automata Module 4: Safety properties described by automata Summary... Module 1: Specifying properties Module 2: Omega-regular expressions Module 3: Bchi automata Module 4: Simple properties of Bchi automata Summary.... Module 1: Overview Module 2: Omega-regular expressions to NBA Module 3: Checking emptiness of NBA Module 4: Generalized NBA Summary..... Module 1: Introduction to LTL Module 2: Semantics of LTL Module 3: A puzzle Summary . Module 1: Automata based LTL model-checking Module 2: LTL to NBA Module 3: Automaton construction Summary .. Module 1: Tree view of a transition system Module 2: CTL* Module 3: CTL summary ... Module 1: Adequate CTL formulae Module 2: EX, EU, EG Module 3: Final algorithm Module 4: State-space explosion Summary .... Module 1: Introduction to BDDs Module 2: Ordered BDDs Module 3: Representing transition systems as OBDDs Summary .....
NOC	Department of Computer Science & Engineering	Introduction to Machine Learning	Prof. Balaraman Ravindran	Video	IIT Madras	Select A brief introduction to machine learning Supervised Learning Unsupervised Learning Reinforcement Learning Probability Basics - 1 Probability Basics - 2 Linear Algebra - 1 Linear Algebra - 2 Statistical Decision Theory - Regression Statistical Decision Theory - Classification Bias-Variance Linear Regression Multivariate Regression Subset Selection 1 Subset Selection 2 Shrinkage Methods Principal Components Regression Partial Least Squares Linear Classification Logistic Regression Linear Discriminant Analysis 1 Linear Discriminant Analysis 2 Linear Discriminant Analysis 3 Optimization Perceptron Learning SVM - Formulation SVM - Interpretation & Analysis SVMs for Linearly Non Separable Data SVM Kernels SVM - Hinge Loss Formulation Weka Tutorial Early Models Backpropogation I Backpropogation II Initialization Maximum Likelihood Estimate Priors & MAP Estimate Bayesian Parameter Estimation Introduction Regression Trees Stopping Criteria & Pruning Loss Functions for Classification Categorical Attributes Multiway Splits Missing Values Instability Tutorial Evaluation Measures I Bootstrapping & Cross Validation 2 Class Evaluation Measures The ROC Curve Minimum Description Length & Exploratory Analysis Introduction to Hypothesis Testing Basic Concepts Sampling Distributions & the Z Test Student\'s t-test The Two Sample & Paired Sample t-tests Confidence Intervals Bagging Boosting Gradient Boosting Random Forest Naive Bayes Bayesian Networks Undirected Graphical Models - Introduction Undirected Graphical Models - Potential Functions Hidden Markov Models Variable Elimination Belief Propagation Partitional Clustering Hierarchical Clustering Threshold Graphs The BIRCH Algorithm The CURE Algorithm Density Based Clustering Gaussian Mixture Models Expectation Maximization Expectation Maximization Continued Spectral Clustering Learning Theory Frequent Itemset Mining The Apriori Property Introduction to Reinforcement Learning RL Framework and TD Learning Solution Methods & Applications Multi-class Classification
NOC	Department of Computer Science & Engineering	Design and Analysis of Algorithms	Prof. Madhavan Mukund	Video	CMI	Select Course Outline Example: Air Travel Example: Xerox shop Example: Document similarity Introduction and motivation Input size Quantifying efficiency: O( ) Examples: Analysis of iterative and recursive algorithms Arrays and lists Searching in an array Selection Sort Insertion sort Merge sort Merge sort - analysis Quicksort Quicksort - analysis Sorting - Concluding remarks Introduction to graphs Representing graphs Breadth first search (BFS) Depth first search (DFS) Applications of BFS and DFS Directed acylic graphs: topological sort Directed acylic graphs: longest paths Single source shortest paths: Dijkstras algorithm Dijkstras algorithm: analysis Negative edge weights: Bellman-Ford algorithm All pairs shortest paths Minimum Cost Spanning Trees Prims Algorithm Kruskals algorithm Union-Find using arrays Union-Find using pointers Priority queues Heaps Heaps: Updating values Counting inversions Closest pair of points Binary Search Trees Balanced search trees Interval scheduling Scheduling with deadlines: minimizing lateness Huffman codes Introduction to dynamic programming Memoization Grid Common subwords and Edit Matrix Linear Programming LP modelling: Production Planning LP modelling: Bandwidth allocation Network Flows Reductions Checking Algorithms P and NP
NOC	Department of Computer Science & Engineering	Functional Programming in Haskell	Prof. Madhavan Mukund,Prof.S.P.Suresh	Video	CMI	Select Functions Types Haskell Running Haskell programs Currying Examples Lists Functions on lists Characters and strings Tuples Computation as rewriting Polymorphism and higher-order functions Map and filter List comprehension Folding through a list Measuring efficiency Sorting Using infinite lists Conditional polymorphism Defining functions in ghci User-defined datatypes Abstract datatypes Modules Recursive data types Binary search trees Balanced searched trees Arrays Input/Output
NOC	Computer Science and Engineering	Introduction to Information Security I	Prof. V. Kamakoti	Video	IIT Madras	Select Part0 - Introduction to the Course Part1 - Definition of Information Security Part2 - Information Security Terminologies Part3 - Goals of Information Security Part4 - Implementation Issues of the Goals of Information Security - I part5 - Implementation Issues of the Goals of Information Security - II Part6 - Control Mechanisms for Information Security - I Part 7 - Access Control - Administrative and Technical Part 8 - Passwords - Are they secure? - I Part 9 - Access Control - Administrative and Technical Part 10 - Passwords - Are they secure? - III Part 11 - Multifactor Authentication - Challenges Part 12 - Application Level Control and Information Security Planning Part 13 - Information Security - Policy, Standard and Practice Part 14 - Policies governing Issues, Roles and Responsibilities Part 15 - Managing changes in Information Security Policies Part 16 - Spheres of Information Security Part 01 - Protecting your Personal Computer - I part 02 - Protecting your Personal Computer - II Part 03 - Protecting your Personal Computer - III Part 04 - Cloud Computing (Basic Definitions) - I Part 05 - Cloud Computing (Deployment) - II Part 06 - Cloud Computing (Security Issues) - III Part 07 - Cloud Computing (Trust and Risk) - IV Part 08 - Cloud Computing (Security and Privacy Issues) - V Part 09 - Cloud Computing (Security and Privacy Issues) - VI Part 10 - Cloud Computing (Application and Data level security) - VII Part 11 - Cloud Computing (Summary) - VIII Part 12 - Standard I Part 13 - Standard II Part 14 - Standard III Module 3 - Part 01 Module 3 - Part 02 Module 3 - Part 03 Module 3 - Part 04 Module 3 - Part 05 Module 3 - Part 06 Module 3 - Part 07 Module 3 - Part 08 Module 3 - Part 09 Module 4 - Part 01 module 4 - Part 02 Module 4 - Part 03 Module 4 - Part 04 Module 4 - Part 05 Module 4 - Part 06 Module 4 - Part 07 Module 4 - Part 08 Module 4 - Part 09 Module 4 - Part 10 Module 5 - Part 01 Module 5 - Part 02 Module 5 - Part 03 Module 5 - Part 04 Module 5 - Part 05 Module 5 - Part 06 Module 5 - Part 07 Module 6 - Part 01 Module 6 - Part 02 Module 6 - Part 03 Module 6 - Part 04 Module 6 - Part 05 Module 6 - Part 06 Module 6 - Part 07 Module 6 - Part 08
NOC	Computer Science and Engineering	Information Security - II	Prof. V.Kamakoti	Video	IIT madras	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41
NOC	Computer Science and Engineering	Introduction to programming in C	Prof. Satyadev Nandakumar,Prof. Amey Karkare	Video	IIT Kanpur	Select Intro - Process of programming Intro - GCD Intro - Programming cycle Intro - Tracing a simple program Intro - Variables Intro - Operators Loops - While Loops - While example Loops - While GCD example Loops - Longest 1 Loops - Longest 2 Loops - Longest 3 Loops - Do-while Loops - Matrix using nested loops Loops - For Loops - Matrix using nested for loops Loops - Break statement Loops - Continue statement Loops - Continue statement example Data types in C ASCII code Operators Expressions Associativity Precedence of operators Expression evaluation Functions - Introduction Functions - How functions are executed Functions - Examples - 1 Functions - Examples - 2 Arrays in C Initializing arrays Initializing character arrays Pointers in C Pointer arithmetic Function with pointer arguments Example - copy a subarray Programming using arrays and pointers Sizeof operator Returning pointers from functions Example - return duplicate of a string Recursion - Linear Recursion Recursion - Linear Recursion - Two-way Recursion Multidimensional Multidimensional Arrays and Pointers Multidimensional Arrays and Multidimensional Arrays and Pointers - continued Multidimensional Arrays. Multidimensional Arrays and Multidimensional Arrays and Pointers - 2. Multidimensional Arrays and Pointers File Handling Some other file-handling functions Structures in C - 1 Structures in C - Singly Linked Lists
NOC	Department of Computer Science & Engineering	Programming, Data Structures and Algorithms	Prof. Shankar Balachandran,Prof. N. S. Narayanaswamy,Prof. Hema Murthy	Video	IIT Madras	Select Introduction to Computers and Programming Writing your first program Variables Variable declarations Input and Output Statements Conditionals Loops Video Solution to Digital Root Programming Assignment Introduction to arrays Working with 1D arrays Find prime numbers Debugging demo Multi-dimensional arrays Pointers More on pointers Arrays and pointer arithmetic Introduction to Strings More on Strings Video Solution to Print Elements of a Matrix in Spiral Order Programming Assignment Introduction to functions More details on functions Arguments Pass parameters by reference Recursive functions Running time of a program Computing time complexity Video Solution to Palindrome Checker Programming Assignment Algorithms and Powering Polynomial evaluation and multiplication Linear and Binary Search Analysis Analysis of minimum and maximum in an array Sorting I: Insertion Sorting II: Counting Finding i-th smallest number Video Solution to Sorting words Programming Assignment Structures More on structures Using structures and pointers to structures Dynamic memory allocation Linked Lists Brief introduction to C++: Classes and objects Data Structures: Abstract Data Type Lists Supplementary Lesson Video Solution to Implementing a Hash Table ADT Programming Assignment Stacks: Last In First Out Queues: First In First Out Trees Tree traversal Binary Search Trees Heaps Graphs and Representation Supplementary Lesson Video Solution to the Queue in a Hospital Programming Assignment Greedy Algorithms Dynamic Programming Matrix Chain Multiplication Dijkstra's Algorithm Boyer-Moore String Matching Algorithm File I/O Modular Programming
NOC	Computer Science and Engineering	Programming and Data structures	Prof. N S. Narayanaswamy	Video	IIT Madras	Select Video Lecture - A Simple C Program for Sorting Video Lecture- Review of Structures, Pointers, and Functions Video Lecture - Recursion Video Lecture-Abstract Data Types-Data + Methods. Video Lecture-List Data Type Video Lecture - Access and update methods Video Lecture:Doubly Linked List Data Type Video Lecture-Doubly Linked Lists and Arrays Video Lecture - ADT Stacks Video Lecture:Checking of Balanced Parenthesis Video Lecture:Infix and Postfix expressions and Expression Queue ADT Definition and Implementation Merging using Queue ADT and Queue Tree ADT and Traversals Binary Tree ADT and traversals Tree Applications Binary Search Trees Heaps
NOC	Computer Science and Engineering	Discrete Mathematics	Prof. Sourav Chakraborty	Video	CMI	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50
NOC	Computer Science and Engineering	Software Testing	Prof. Rajib Mall	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20
NOC	Computer Science and Engineering	Introduction to Cryptology	Prof. Sugata Gangopdhyaya	Video	IIT Roorkee	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20
NOC	Computer Science and Engineering	Modern Algebra	Prof. Manindra Agrawal	Video	IIT Kanpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18
NOC	Computer Science and Engineering	Programming in C++	Prof. Partha Pratim Das	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52 Lecture-53 Lecture-54 Lecture-55 Lecture-56
NOC	Computer Science and Engineering	Introduction to Machine Learning	Prof. Sudeshna Sarkar	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40
NOC	Computer Science and Engineering	AI-Constraint Satisfaction	Prof. Deepak Khemani	Video	IIT Madras	Select Indroduction Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42
NOC	Computer Science and Engineering	Information Security-3	Prof. Kamakoti Veezhinathan	Video	IIT Madras	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52 Lecture-53 Lecture-54 Lecture-55 Lecture-56 Lecture-57 Lecture-58 Lecture-59 Lecture-60
NOC	Computer Science and Engineering	Introduction to Modern Application Development	Prof. Gaurav Raina,Prof. Tanmai Gopal	Video	IIT Madras	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29
NOC	Computer Science and Engineering	Mobile Computing	Prof. Pushpendra Singh	Video	IITD	Select Introduction Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49
NOC	Computer Science and Engineering	Reinforcement Learning	Prof. Ravindran	Video	IIT Madras	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52 Lecture-53 Lecture-54 Lecture-55 Lecture-56 Lecture-57 Lecture-58 Lecture-59 Lecture-60
NOC	Computer Science and Engineering	Theory of Computation	Prof. Raghunath Tewari	Video	IIT Kanpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40
NOC	Computer Science and Engineering	Privacy and Security in Online Social Networks	Prof. Ponnurangam Kumaraguru	Video	IIITD	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34
NOC	Computer Science and Engineering	Introduction to Operating Systems	Prof. Chester Rebeiro	Video	IIT Madras	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39
NOC	Computer Science and Engineering	Artificial Intelligence-Knowledge Representation and Reasoning	Prof.Deepak Khemani	Video	IIT Madras	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52 Lecture-53 Lecture-54 Lecture-55 Lecture-56 Lecture-57 Lecture-58 Lecture-59 Lecture-60 Lecture-61 Lecture-62 Lecture-63 Lecture-64 Lecture-65 Lecture-66 Lecture-67 Lecture-68 Lecture-69 Lecture-70 Lecture-71 Lecture-72
NOC	Computer Science and Engineering	Complex Network Theory and Application	Prof. Animesh Mukherjee	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21
NOC	Computer Science and Engineering	Embedded System Design	Prof. Anupam Basu	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49
NOC	Computer Science and Engineering	Fundamentals Algorithms-Design and Analysis	Prof. Sourav Mukhopadhyay	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21
NOC	Computer Science and Engineering	Internetwork Security	Prof. Sourav Mukhopadhyay	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52 Lecture-53 Lecture-54 Lecture-55 Lecture-56 Lecture-57 Lecture-58 Lecture-59 Lecture-60
NOC	Computer Science and Engineering	VLSI Physical Design	Prof. Indranil Sengupta	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52 Lecture-53 Lecture-54 Lecture-55 Lecture-56 Lecture-57 Lecture-58 Lecture-59 Lecture-60 Lecture-61 Lecture-62 Lecture-63 Lecture-64
NOC	Computer Science and Engineering	Object Oriented Analysis and Design	Prof. Partha Pratim Das	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52
NOC	Computer Science and Engineering	Natural Languages Processing	Prof. Pawan Goyal	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52 Lecture-53 Lecture-54 Lecture-55 Lecture-56 Lecture-57 Lecture-58 Lecture-59 Lecture-60 Lecture-61 Lecture-62
NOC	Computer Science and Engineering	Wireless Ad-Hoc Sensor Networks	Prof. Sudip Misra	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40
NOC	Computer Science and Engineering	Computer Architecture	Prof. Smruti R Sarangi	Video	IIT Delhi	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33
NOC	Computer Science and Engineering	Algorithms for Big-Data	Prof. John Augustine	Video	IIT Madras	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48
NOC	Computer Science and Engineering	Programming Data Structures and Algorithms in Python	Prof. Madhavan Mukund	Video	CMI	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45
NOC	Computer Science and Engineering	Computer Architecture and Organization	Prof. Indranil Sengupta,Prof. Kamalika Datta	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52 Lecture-53 Lecture-54 Lecture-55 Lecture-56 Lecture-57 Lecture-58 Lecture-59 Lecture-60 Lecture-61 Lecture-62 Lecture-63
NOC	Computer Science and Engineering	Introduction to Algorithms and Analysis	Prof. Sourav Mukhopadhyay	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52 Lecture-53 Lecture-54 Lecture-55 Lecture-56 Lecture-57 Lecture-58 Lecture-59
NOC	Computer Science and Engineering	Introduction to Internet of Things	Prof. Sudip Misra	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52 Lecture-53 Lecture-54 Lecture-55 Lecture-56 Lecture-57 Lecture-58 Lecture-59 Lecture-60
NOC	Computer Science and Engineering	Computer Organization and Architecture	Prof. Kamakoti	Video	IIT Madras	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52
NOC	Computer Science and Engineering	Social Networks	Prof. S. R. Sudarshan Iyengar	Video	IIT Ropar	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52 Lecture-53 Lecture-54 Lecture-55 Lecture-56 Lecture-57 Lecture-58 Lecture-59 Lecture-60 Lecture-61 Lecture-62 Lecture-63 Lecture-64 Lecture-65 Lecture-66 Lecture-67 Lecture-68 Lecture-69 Lecture-70 Lecture-71 Lecture-72 Lecture-73 Lecture-74 Lecture-75 Lecture-76 Lecture-77 Lecture-78 Lecture-79 Lecture-80 Lecture-81 Lecture-82 Lecture-83 Lecture-84 Lecture-85 Lecture-86 Lecture-87 Lecture-88 Lecture-89 Lecture-90 Lecture-91 Lecture-92 Lecture-93 Lecture-94 Lecture-95 Lecture-96 Lecture-97 Lecture-98 Lecture-99 Lecture-100 Lecture-101 Lecture-102 Lecture-103 Lecture-104 Lecture-105 Lecture-106 Lecture-107 Lecture-108 Lecture-109 Lecture-110 Lecture-111 Lecture-112 Lecture-113 Lecture-114 Lecture-115 Lecture-116 Lecture-117 Lecture-118 Lecture-119 Lecture-120 Lecture-121 Lecture-122 Lecture-123 Lecture-124 Lecture-125 Lecture-126 Lecture-127 Lecture-128 Lecture-129 Lecture-130 Lecture-131 Lecture-132 Lecture-133 Lecture-134 Lecture-135 Lecture-136 Lecture-137 Lecture-138 Lecture-139 Lecture-140 Lecture-141 Lecture-142 Lecture-143 Lecture-144 Lecture-145 Lecture-146 Lecture-147 Lecture-148 Lecture-149 Lecture-150 Lecture-151 Lecture-152 Lecture-153 Lecture-154 Lecture-155 Lecture-156 Lecture-157 Lecture-158 Lecture-159 Lecture-160 Lecture-161 Lecture-162 Lecture-163 Lecture-164 Lecture-165 Lecture-166
NOC	Computer Science and Engineering	Introduction to Parallel Programming in OpenMP	Prof. Yogish Sabharwal	Video	IIT Delhi	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37
NOC	Computer Science and Engineering	Distributed Systems	Prof. Rajiv Misra	Video	IIT Patna	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Case Study-01 Case Study-02 Case Study-03 Case Study-04 Case Study-05 Case Study-06 Case Study-07 Case Study-08 Case Study-09 Case Study-10
NOC	Computer Science and Engineering	Cloud Computing	Prof. Soumya Kanti Ghosh	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39
NOC	Computer Science and Engineering	Hardware Modeling using Verilog	Prof. Indranil Sen Gupta	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42
NOC	Computer Science and Engineering	Artificial Intelligence: Search Methods for Problem Solving	Prof. Deepak Khemani	Video	IIT Madras	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48
NOC	Computer Science and Engineering	Advanced Graph Theory	Prof. Rajiv Misra	Video	IIT Patna	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23
NOC	Computer Science and Engineering	Introduction to Human Computer Interaction	Prof. Ponnurangam Kumaraguru	Video	IIT Madras	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21
NOC	Computer Science and Engineering	Information security-IV	Prof. M J Shankar Raman,Prof. V. Kamakoti	Video	IIT Madras	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52 Lecture-53 Lecture-54 Lecture-55 Lecture-56
NOC	Computer Science and Engineering	Data Science for Engineers	Prof. Shankar Narasimhan,Prof. Ragunathan Rengasamy	Video	IIT Madras	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50
NOC	Computer Science and Engineering	Optimization Techniques for Digital VLSI Design	Prof. Santosh Biswas,Prof. Chandan Karfa	Video	IIT Guwahati	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24
NOC	Computer Science and Engineering	Computer Organization and Architecture A Pedagogical Aspect	Prof. Arnab sarkar,Prof. Jatindra Kumar Deka,Prof. Santosh Biswas	Video	IIT Guwahati	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39
NOC	Computer Science and Engineering	Synthesis of Digital Systems	Prof. Preeti Ranjan Panda	Video	IIT Delhi	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26
NOC	Computer Science and Engineering	Problem Solving through Programming in C	Prof. Anupam Basu	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43 Lecture-44 Lecture-45 Lecture-46 Lecture-47 Lecture-48 Lecture-49 Lecture-50 Lecture-51 Lecture-52 Lecture-53 Lecture-54 Lecture-55 Lecture-56 Lecture-57 Lecture-58 Lecture-59 Lecture-60 Lecture-61
NOC	Computer Science and Engineering	Real Time Operating System	Prof. Rajib Mall	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20
NOC	Computer Science and Engineering	Introduction to Soft Computing	Prof. Debasis Samanta	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40
NOC	Computer Science and Engineering	Data Mining	Prof. Pabitra Mitra	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40 Lecture-41 Lecture-42 Lecture-43
NOC	Computer Science and Engineering	Database Management System	Prof. Partha Pratim Das	Video	IIT Kharagpur	Select Lecture-01 Lecture-02 Lecture-03 Lecture-04 Lecture-05 Lecture-06 Lecture-07 Lecture-08 Lecture-09 Lecture-10 Lecture-11 Lecture-12 Lecture-13 Lecture-14 Lecture-15 Lecture-16 Lecture-17 Lecture-18 Lecture-19 Lecture-20 Lecture-21 Lecture-22 Lecture-23 Lecture-24 Lecture-25 Lecture-26 Lecture-27 Lecture-28 Lecture-29 Lecture-30 Lecture-31 Lecture-32 Lecture-33 Lecture-34 Lecture-35 Lecture-36 Lecture-37 Lecture-38 Lecture-39 Lecture-40
NOC	Computer Science and Engineering	Design and pedagogy of the introductory programming course	Prof. Abhiram G Ranade	Video	IIT Bombay	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22
NOC	Computer Science and Engineering	Embedded Systems-Design Verification and Test	Dr. Santosh Biswas, Prof.Jatindra Kumar Deka & Prof.Arnab sarkar	Video	IIT Guwahati	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 28-C Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37
NOC	Computer Science and Engineering	Multi-Core Computer Architecture-Storage and Interconnects	Prof. John Jose	Video	IIT Guwahati	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29
NOC	Computer Science and Engineering	Cloud Computing and Distributed Systems	Dr.Rajiv Misra	Video	IIT Kanpur	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 19-C Lecture 20 Lecture 21
NOC	Computer Science and Engineering	Software Engineering	Prof. Rajib Mall	Video	IIT Kharagpur	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59 Lecture 60
NOC	Computer Science and Engineering	Computer Networks and Internet Protocol	Prof. Soumya Kanti Ghosh & Prof. Sandip Chakraborty	Video	IIT Kharagpur	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 37-C Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 41-c Lecture 42 Lecture 42-C Lecture 43 Lecture 43-C Lecture 44 Lecture 44-C Lecture 45 Lecture 45-C Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59 Lecture 60
NOC	Computer Science and Engineering	Blockchain Architecture Design and Use Cases	Prof. Sandip Chakraborty & Prof. Praveen Jayachandran	Video	IIT Kharagpur	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59
NOC	Computer Science and Engineering	Switching Circuits and Logic Design	Prof. Indranil Sengupta	Video	IIT Kharagpur	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59 Lecture 60
NOC	Computer Science and Engineering	Scalable Data Science	Prof. Anirban Dasgupta & Prof. Sourangshu Bhattacharya	Video	IIT Kharagpur	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 8b Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42
NOC	Computer Science and Engineering	The Joy of Computing using Python	Prof. Sudarshan Iyengar	Video	IIT Ropar	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59 Lecture 60 Lecture 61 Lecture 62 Lecture 63 Lecture 64 Lecture 65 Lecture 66 Lecture 67 Lecture 68 Lecture 69 Lecture 70 Lecture 71 Lecture 72 Lecture 73 Lecture 74 Lecture 75 Lecture 76 Lecture 77 Lecture 78 Lecture 79 Lecture 80 Lecture 81 Lecture 82 Lecture 83 Lecture 84 Lecture 85 Lecture 86 Lecture 87 Lecture 88 Lecture 89 Lecture 90 Lecture 91 Lecture 92 Lecture 93 Lecture 94 Lecture 95 Lecture 96 Lecture 97 Lecture 98 Lecture 99 Lecture 100 Lecture 101 Lecture 102 Lecture 103 Lecture 104 Lecture 105 Lecture 106 Lecture 107 Lecture 108 Lecture 109 Lecture 110 Lecture 111 Lecture 112 Lecture 113 Lecture 114 Lecture 115 Lecture 116 Lecture 117 Lecture 118 Lecture 119 Lecture 120 Lecture 121 Lecture 122 Lecture 123 Lecture 124 Lecture 125 Lecture 126 Lecture 127 Lecture 128 Lecture 129 Lecture 130 Lecture 131 Lecture 132 Lecture 133 Lecture 134 Lecture 135 Lecture 136 Lecture 137 Lecture 138 Lecture 139 Lecture 140 Lecture 141 Lecture 142 Lecture 143 Lecture 144 Lecture 145 Lecture 146 Lecture 147 Lecture 148 Lecture 149 Lecture 150 Lecture 151 Lecture 152 Lecture 153 Lecture 154 Lecture 155 Lecture 156 Lecture 157 Lecture 158 Lecture 159 Lecture 160 Lecture 161 Lecture 162 Lecture 163 Lecture 164 Lecture 165 Lecture 166 Lecture 167 Lecture 168 Lecture 169 Lecture 170 Lecture 171 Lecture 172 Lecture 173 Lecture 174 Lecture 175 Lecture 176 Lecture 177 Lecture 178 Lecture 179 Lecture 180 Lecture 181 Lecture 182 Lecture 183 Lecture 184 Lecture 185 Lecture 186 Lecture 187 Lecture 188 Lecture 189 Lecture 190 Lecture 191 Lecture 192 Lecture 193 Lecture 194 Lecture 195 Lecture 196 Lecture 197 Lecture 198 Lecture 199 Lecture 200 Lecture 201 Lecture 202 Lecture 203 Lecture 204 Lecture 205 Lecture 206 Lecture 207 Lecture 208 Lecture 209 Lecture 210 Lecture 211 Lecture 212 Lecture 213 Lecture 214 Lecture 215 Lecture 216 Lecture 217 Lecture 218 Lecture 219 Lecture 220 Lecture 221 Lecture 222 Lecture 223 Lecture 224 Lecture 225 Lecture 226
NOC	Computer Science and Engineering	Discrete Mathematics	Prof. Sudarshan Iyengar	Video	IIT Ropar	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59 Lecture 60 Lecture 61 Lecture 62 Lecture 63 Lecture 64 Lecture 65 Lecture 66 Lecture 67 Lecture 68 Lecture 69 Lecture 70 Lecture 71 Lecture 72 Lecture 73 Lecture 74 Lecture 75 Lecture 76 Lecture 77 Lecture 78 Lecture 79 Lecture 80 Lecture 81 Lecture 82 Lecture 83 Lecture 84 Lecture 85 Lecture 86 Lecture 87 Lecture 88 Lecture 89 Lecture 90 Lecture 91 Lecture 92 Lecture 93 Lecture 94 Lecture 95 Lecture 96 Lecture 97 Lecture 98 Lecture 99 Lecture 100 Lecture 101 Lecture 102 Lecture 103 Lecture 104 Lecture 105 Lecture 106 Lecture 107 Lecture 108 Lecture 109 Lecture 110 Lecture 111 Lecture 112 Lecture 113 Lecture 114 Lecture 115 Lecture 116 Lecture 117 Lecture 118 Lecture 119 Lecture 120 Lecture 121 Lecture 122 Lecture 123 Lecture 124 Lecture 125 Lecture 126 Lecture 127 Lecture 128 Lecture 129 Lecture 130 Lecture 131 Lecture 132 Lecture 133 Lecture 134 Lecture 135 Lecture 136 Lecture 137 Lecture 138 Lecture 139 Lecture 140 Lecture 141 Lecture 142 Lecture 143 Lecture 144 Lecture 145 Lecture 146 Lecture 147 Lecture 148 Lecture 149 Lecture 150 Lecture 151 Lecture 152 Lecture 153 Lecture 154 Lecture 155 Lecture 156 Lecture 157 Lecture 158 Lecture 159 Lecture 160 Lecture 161 Lecture 162 Lecture 163 Lecture 164 Lecture 165 Lecture 166 Lecture 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Lecture 251 Lecture 252 Lecture 253 Lecture 254 Lecture 255 Lecture 256 Lecture 257 Lecture 258 Lecture 259 Lecture 260 Lecture 261 Lecture 262 Lecture 263 Lecture 264 Lecture 265 Lecture 266 Lecture 267 Lecture 268 Lecture 269 Lecture 270 Lecture 271 Lecture 272 Lecture 273 Lecture 274 Lecture 275 Lecture 276 Lecture 277 Lecture 278 Lecture 279 Lecture 280 Lecture 281 Lecture 282 Lecture 283 Lecture 284 Lecture 285 Lecture 286 Lecture 287 Lecture 288 Lecture 289 Lecture 290 Lecture 291 Lecture 292 Lecture 293 Lecture 294 Lecture 295 Lecture 296 Lecture 297 Lecture 298 Lecture 299 Lecture 300 Lecture 301 Lecture 302 Lecture 303 Lecture 304 Lecture 305 Lecture 306 Lecture 307 Lecture 308 Lecture 309 Lecture 310 Lecture 311 Lecture 312 Lecture 313 Lecture 314 Lecture 315 Lecture 316 Lecture 317 Lecture 318 Lecture 319 Lecture 320 Lecture 321 Lecture 322 Lecture 323 Lecture 324 Lecture 325 Lecture 326 Lecture 327 Lecture 328 Lecture 329 Lecture 330 Lecture 331 Lecture 332 Lecture 333 Lecture 334 Lecture 335 Lecture 336 Lecture 337 Lecture 338 Lecture 339 Lecture 340 Lecture 341 Lecture 342 Lecture 343 Lecture 344 Lecture 345 Lecture 346 Lecture 347 Lecture 348 Lecture 349 Lecture 350 Lecture 351 Lecture 352 Lecture 353 Lecture 354 Lecture 355 Lecture 356 Lecture 357 Lecture 358 Lecture 359 Lecture 360 Lecture 361 Lecture 362 Lecture 363 Lecture 364 Lecture 365 Lecture 366 Lecture 367 Lecture 368 Lecture 369 Lecture 370 Lecture 371 Lecture 372 Lecture 373 Lecture 374 Lecture 375 Lecture 376 Lecture 377 Lecture 378 Lecture 379 Lecture 380 Lecture 381 Lecture 382 Lecture 383 Lecture 384 Lecture 385 Lecture 386 Lecture 387 Lecture 388 Lecture 389 Lecture 390 Lecture 391 Lecture 392 Lecture 393 Lecture 394 Lecture 395 Lecture 396 Lecture 397 Lecture 398 Lecture 399 Lecture 400 Lecture 401 Lecture 402 Lecture 403 Lecture 404 Lecture 405 Lecture 406 Lecture 407 Lecture 408 Lecture 409 Lecture 410 Lecture 411 Lecture 412 Lecture 413 Lecture 414 Lecture 415 Lecture 416 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NOC	Computer Science and Engineering	Deep Learning	Prof. Mitesh Khapra	Video	IIT Madras	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59 Lecture 60 Lecture 61 Lecture 62 Lecture 63 Lecture 64 Lecture 65 Lecture 66 Lecture 67 Lecture 68 Lecture 69 Lecture 70 Lecture 71 Lecture 72 Lecture 73 Lecture 74 Lecture 75 Lecture 76 Lecture 77 Lecture 78 Lecture 79 Lecture 80 Lecture 81 Lecture 82 Lecture 83 Lecture 84 Lecture 85 Lecture 86 Lecture 87 Lecture 88 Lecture 89 Lecture 90 Lecture 91 Lecture 92 Lecture 93 Lecture 94 Lecture 95 Lecture 96 Lecture 97 Lecture 98 Lecture 99 Lecture 100 Lecture 101 Lecture 102 Lecture 103 Lecture 104 Lecture 105 Lecture 106 Lecture 107 Lecture 108 Lecture 10 Lecture 110 Lecture 111 Lecture 112 Lecture 113 Lecture 114 Lecture 115 Lecture 116 Lecture 117
NOC	Computer Science and Engineering	Randomized Algorithms	Prof. Benny George K	Video	IIT Guwahati	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40
NOC	Computer Science and Engineering	Parallel Algorithms	Prof. Sajith Gopalan	Video	IIT Guwahati	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37
NOC	Computer Science and Engineering	Big Data Computing	Dr. Rajiv Misra	Video	IIT Patna	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34
NOC	Computer Science and Engineering	Compiler Design	Prof. Santanu Chattopadhyay	Video	IIT Kharagpur	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59 Lecture 60 Lecture 61
NOC	Computer Science and Engineering	Programming in Java	Prof. Debasis Samanta	Video	IIT Kharagpur	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59 Lecture 60
NOC	Computer Science and Engineering	Discrete Structures	Prof. Dipanwita Roychowdhury	Video	IIT Kharagpur	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59 Lecture 60
NOC	Computer Science and Engineering	Embedded System Design with ARM	Prof. Indranil Sengupta & Prof. Kamalika Datta	Video	IIT Kharagpur & National Institute of Technology Meghalaya	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42
NOC	Computer Science and Engineering	Hardware Security	Dr. Debdeep Mukhopadhyay	Video	IIT Kharagpur	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59 Lecture 60
NOC	Computer Science and Engineering	Introduction to Industry 4.0 and Industrial Internet of Things	Prof. Sudip Misra	Video	IIT Kharagpur	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59 Lecture 60 Lecture 61 Lecture 62 Lecture 63 Lecture 64 Lecture 65
NOC	Computer Science and Engineering	Introduction to Automata, Languages and Computation	Prof. Sourav Mukhopadhyay	Video	IIT Kharagpur	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59 Lecture 60
NOC	Computer Science and Engineering	Foundations to Computer Systems Design	Prof. V. Kamakoti	Video	IIT Madras	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59 Lecture 60 Lecture 61 Lecture 62 Lecture 63 Lecture 64 Lecture 65 Lecture 66 Lecture 67 Lecture 68 Lecture 69 Lecture 70 Lecture 71 Lecture 72 Lecture 73 Lecture 74 Lecture 75 Lecture 76 Lecture 77
NOC	Computer Science and Engineering	Machine Learning for Engineering and Science Applications	Prof. Balaji Srinivasan & Prof. Ganapathy	Video	IIT Madras	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59 Lecture 60 Lecture 61 Lecture 62 Lecture 63 Lecture 64 Lecture 65 Lecture 66 Lecture 67 Lecture 68 Lecture 69 Lecture 70 Lecture 71 Lecture 72 Lecture 73 Lecture 74 Lecture 75 Lecture 76 Lecture 77 Lecture 78 Lecture 79 Lecture 80 Lecture 81 Lecture 82 Lecture 83 Lecture 84 Lecture 85 Lecture 86 Lecture 87 Lecture 88 Lecture 89 Lecture 90 Lecture 91 Lecture 92 Lecture 93 Lecture 94 Lecture 95 Lecture 96 Lecture 97 Lecture 98 Lecture 99 Lecture 100 Lecture 101 Lecture 102 Lecture 103 Lecture 104 Lecture 105 Lecture 106
NOC	Computer Science and Engineering	Information Security - 5 - Secure Systems Engineering	Prof. Chester Rebeiro	Video	IIT Madras	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56 Lecture 57 Lecture 58 Lecture 59
NOC	Computer Science and Engineering	Multimodal Interaction	Prof. Dr.-Ing.Sebastian Moller & Prof. Dr.-Ing. Stefan Hillmann	Video	IIT Madras	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50 Lecture 51 Lecture 52 Lecture 53 Lecture 54 Lecture 55 Lecture 56
NOC	Computer Science and Engineering	Deep Learning - Part 2	Prof.Mitesh Khapra	Video	IIT Madras	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37
NOC	Computer Science and Engineering	Machine Learning,ML	Prof. Carl Gustaf Jansson, Prof. Henrik Bostrom & Prof. Fredrik Kilander	Video	KTH Royal Institute of Technology, Sweden	Select Lecture 1 Lecture 2 Lecture 3 Lecture 4 Lecture 5 Lecture 6 Lecture 7 Lecture 8 Lecture 9 Lecture 10 Lecture 11 Lecture 12 Lecture 13 Lecture 14 Lecture 15 Lecture 16 Lecture 17 Lecture 18 Lecture 19 Lecture 20 Lecture 21 Lecture 22 Lecture 23 Lecture 24 Lecture 25 Lecture 26 Lecture 27 Lecture 28 Lecture 29 Lecture 30 Lecture 31 Lecture 32 Lecture 33 Lecture 34 Lecture 35 Lecture 36 Lecture 37 Lecture 38 Lecture 39 Lecture 40 Lecture 41 Lecture 42 Lecture 43 Lecture 44 Lecture 45 Lecture 46 Lecture 47 Lecture 48 Lecture 49 Lecture 50