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README.md
Computer Science video courses
Introduction
List of Computer Science courses with video lectures. For more courses, please refer MIT OCW and awesome-courses
Focus would be to keep the list to the point in order keep it readable and usable. To access syllabus/notes/assignments, please visit link to the course or use Google search.
Table of Contents
- Introduction to Computer Science
- Data Structures and Algorithms
- Systems Programming
- Distributed Systems
- Database Systems
- Object Oriented Design and Software Engineering
- Artificial Intelligence
- Machine Learning
- Web Programming
- Concurrency
- Computer Networks
- Math for Computer Scientist
- Theoretical CS and Programming Languages
- Computer Organization and Architecture
- Security
- Computer Graphics
- Misc
Courses
Introduction to Computer Science
- 6.00SC - Introduction to Computer Science and Programming (Spring 2011) - MIT OCW
- 6.00 - Introduction to Computer Science and Programming (Fall 2008) - MIT OCW
- 6.01SC - Introduction to Electrical Engineering and Computer Science I - MIT OCW
- 6.001 - Structure and Interpretation of Computer Programs, MIT (Textbook)
- CS 10 The Beauty & Joy of Computing, Spring 2015 - UCBerkeley
- CS 50 - Introduction to Computer Science, Harvard University (cs50.tv)
- CS 61A - Structure and Interpretation of Computer Programs [Python], UC Berkeley
- CS 101 - Computer Science 101, Stanford University (Register free to access Videos)
- CS E-1 Understanding Computers and the Internet - Harvard University
- CSE 142 Computer Programming I (C Programming), Autumn 200 - University of Washington
- CS 106A - Programming Methodology, Stanford University
- CS 106B - Programming Abstractions, Stanford University
- CS 107 - Programming Paradigms, Stanford University
Data Structures and Algorithms
- CS 61B - Data Structures, UC Berkeley
- COP 3530 Data Structures and Algorithms, Prof Sahni, UFL (Videos)
- 6.006 - Introduction to Algorithms, MIT OCW
- CS 161 - Design and Analysis of Algorithms, Prof. Tim Roughgarden, Stanford University
- CSE 373 - Analysis of Algorithms, Stony Brook - Prof Skiena
- 6.046J - Introduction to Algorithms - Fall 2005, MIT OCW
- 6.046 - Design and Analysis of Algorithms, Spring 2015 - MIT OCW
- Programming Challenges - Prof Skiena
- 16s-4102 - Algorithms, University of Virginia (Youtube)
- CS 170 Algorithms - Spring 2015 - UCBerkeley
- COP 5536 Advanced Data Structures, Prof Sahni - UFL (Videos)
- CS 261 - A Second Course in Algorithms, Stanford University (Lectures) (Youtube)
- CS 224 - Advanced Algorithms, Harvard University (Lecture Videos) (Youtube)
- ECS 122A - Algorithm Design and Analysis, UC Davis
- CSEP 521: Applied Algorithms, Winter 2013 - University of Washington (Videos)
- CS 6150 - Advanced Algorithms (Fall 2016), University of Utah
- ECS 222A - Graduate Level Algorithm Design and Analysis, UC Davis
- 6.851 - Advanced Data Structures, MIT (MIT OCW)
- 6.854 - Advanced Algorithms, MIT (Prof. Karger lectures)
Systems Programming
- 6.033 Computer System Engineering - MIT
- CS 162 - Operating Systems and Systems Programming, UC Berkeley (Lectures - YouTube)
- CS 4414 - Operating Systems, University of Virginia
- CSE 421/521 - Introduction to Operating Systems, SUNY University at Buffalo, NY - Spring 2016 (Lectures - YouTube)
- CS 377 Fall 16: Operating Systems - Umass OS
- 6.828: Operating System Engineering [Fall 2014]
- CSEP 551 Operating Systems Autumn 2014 - University of Washington
- CS194 Advanced Operating Systems Structures and Implementation, Spring 2013, UC Berkeley
- CPCS 663 - Real-Time Systems: Video Material - TAMU
- CS 251: Intermediate Software Design (C++ version)
- CS 251 (2015): Intermediate Software Design
- CSE 30341 - Spr 2008: Operating Systems
- CSE 60641 - Fall 08: Graduate Operating Systems
Distributed Systems
- VU:Distributed Systems: Principles and Paradigms by Maarten van Steen (Fall 2012), Vrije Universiteit, Amsterdam
- CS 677 Spring 16: Distributed Operating Systems - Umass OS
- CS 436: Distributed Computer Systems - U Waterloo
- 6.824: Distributed Systems, Spring 2015 - MIT
- Distributed Algorithms, https://canvas.instructure.com/courses/902299
- CSEP 552: PMP Distributed Systems, Spring 2013 - University of Washington (Videos)
- CSE 490H: Scalable Systems: Design, Implementation and Use of Large Scale Clusters, Autumn 2008 - University of Washington (Videos)
Database Systems
- CS 5530 - Database Systems, Spring 2016, University of Utah
- CSEP 544, Database Management Systems, Au 2015 - University of Washington
- 15-721 - Database Systems, CMU (Lectures - YouTube)
- CS 186 - Database Systems, UC Berkeley, Spring 2015 (Lectures- YouTube)
- CS 6530 - Graduate-level Database Systems, Fall 2016, University of Utah (Lectures - YouTube)
- 6.830/6.814: Database Systems [Fall 2014]
Object Oriented Design and Software Engineering
- ECE 462 Object-Oriented Programming using C++ and Java - Purdue
- Object Oriented Systems Analysis and Design (Systems Analysis and Design in a Changing World)
- Computer Science 169- Software Engineering - Spring 2015 - UCBerkeley
- Introduction to Service Design and Engineering - University of Trento, Italy
- OOSE: Software Dev Using UML and Java
- CS 411 - Software Architecture Design, Bilkent University
- CS 164 Software Engineering - Harvard
Artificial Intelligence
- CS 188 - Introduction to Artificial Intelligence, UC Berkeley
- 6.034 Artificial Intelligence, MIT OCW
- CSE 592 Applications of Artificial Intelligence, Winter 2003 - University of Washington
Machine Learning
- StatLearning - Intro to Statistical Learning, Stanford University
- CS 156 - Learning from Data, Caltech
- 10-601 - Machine Learning, Carnegie Mellon University
- Microsoft Research - Machine Learning Course
- CS 446 - Machine Learning, Fall 2016, UIUC(Fall 2015 Lectures)
- undergraduate machine learning at UBC 2012, Nando de Freitas
- CS 229 - Machine Learning - Stanford University
- CS 189/289A Introduction to Machine Learning, Prof Jonathan Shewchuk - UCBerkeley
- CS 5140/6140 - Data Mining, Spring 2016, University of Utah (Lectures - Youtube)
- CS 5350/6350 - Machine Learning, Fall 2016, University of Utah
- CS 6190 - Probabilistic Modeling, Spring 2016, University of Utah
- CS 6955 - Clustering, Spring 2015, University of Utah
- DS-GA 1008 - Deep Learning, New York University
- Info 290 - Analyzing Big Data with Twitter, UC Berkeley school of information
- Machine Learning 2013 - Nando de Freitas, UBC
- Machine Learning: 2014-2015, University of Oxford
- Deep learning at Oxford 2015 - Nando de Freitas
- 10-701 Machine Learning - Tom Mitchell, Spring 2011, Carnegie Mellon University (Fall 2014)
- 10-702/36-702 - Statistical Machine Learning - Larry Wasserman, Spring 2016, CMU (Spring 2015)
- 10-708 - Probabilistic Graphical Models, Carnegie Mellon University
- 10-725 Convex Optimization: Spring 2015 - CMU
- 10-801 Advanced Optimization and Randomized Algorithms
- 36-705 - Intermediate Statistics - Larry Wasserman, CMU
- CS 224d - Deep Learning for Natural Language Processing, Stanford University (Lectures - Youtube)
- CS 224N - Natural Language Processing, Stanford University
- CS 229r - Algorithms for Big Data, Harvard University (Youtube)
- CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University
- CAM 383M - Statistical and Discrete Methods for Scientific Computing, University of Texas
- Probabilistic Graphical Models, Daphne Koller, Stanford University
- Deep Learning, Stanford University
- Statistical Learning- Classification - University of Waterloo
- Deep Learning - University of Waterloo
- 9.520 - Statistical Learning Theory and Applications, Fall 2015 - MIT
- STA 4273H (Winter 2015): Large Scale Machine Learning
- CSEP 546, Machine Learning, Sp 2016 - University of Washington (Lectures - YouTube)
- Machine Learning for Computer Vision - TUM
- Lecture: Variational Methods for Computer Vision (Prof. D. Cremers) TUM
- CAP 5415 - Computer Vision, University of Central Florida
Concurrency
- CSE P 506 – Concurrency (Spring 2011) University of Washington (Videos)
- CSEP 524 - Parallel Computation - University of Washington (Videos)
- CS 282 (2014): Concurrent Java Network Programming in Android
Computer Networks
- Prof. Shiv Kalyanaraman's Online Audio and Video Lectures on Computer Networking
- Audio/Video Recordings and Podcasts of Professor Raj Jain's Lectures - Washington University in St. LouisL
- Computer Networks, Tanenbaum, Wetherall Computer Networks 5e - Video Lectures
- CSEP 561: PMP Network Systems, Fall 2013 - University of Washington (Videos)
- CSEP 561 – Network Systems, Autumn 2008 - University of Washington (Videos)
Math for Computer Scientist
- 6.042J - Mathematics for Computer Science, Fall 2010, MIT OCW
- 6.042J - Mathematics for Computer Science, Spring 15, MIT OCW
- Computer Science 70, 001 - Fall 2012
- Probabilistic Systems Analysis and Applied Probability
- STATS 250 - Introduction to Statistics and Data Analysis, UMichigan
- 131B - Introduction to Probability and Statistics, UCI
- Statistics 110: Probability
- 18.06 - Linear Algebra, Prof. Gilbert Strang, MIT OCW
- Multiple View Geometry - Lecture 1 (Prof. Daniel Cremers) TUM
Web Programming
- CS 75 Building Dynamic Websites - Harvard University
- CSEP545: Transaction Processing for E-Commerce, Winter 2012 - University of Washington (Videos)
Theoretical CS and Programming Languages
- CS 164 Hack your language, UC Berkeley (Lectures - Youtube)
- CS 173 Programming Languages, Brown University (Book)
- CS 421 - Programming Languages and Compilers, UIUC (Videos)
- CSC 253 - CPython internals: A ten-hour codewalk through the Python interpreter source code, University of Rochester
- CSEP 501 - Compiler Construction, University of Washington (Lectures - Youtube)
- CSEP 505 Programming Languages, Winter 2015 - University of Washington
- DMFP - Discrete Mathematics and Functional Programming, Wheaton College
- CS 374 - Algorithms & Models of Computation (Fall 2014), UIUC (Lecture videos)
- 6.045 Automata, Computability, and Complexity, MIT (Lecture Videos)
Computer Organization and Architecture
- 6.004 - Computation Structures Spring 2013, MIT
- CS 61C - Machine Structures, UC Berkeley (Lectures - YouTube)
- 18-447 - Introduction to Computer Architecture, CMU (Lectures - YouTube - Fall 15)
- CSEP 548 - Computer Architecture Autumn 2012 - University of Washington
- 15-418 - Parallel Computer Architecture and Programming, CMU (Lecture Videos)
- EE445L Embedded Systems Design Lab, Fall 2015, UTexas
- CS149 Embedded Systems - Fall 2014 - UCBerkeley
Security
- 6.858 Computer Systems Security - MIT OCW
- CIS 4930/ CIS 5930 - Offensive Computer Security, Florida State University
- 18-636 Browser Security, Stanford
Computer Graphics
Misc
- CS 193a - Android App Development, Spring 2016, Stanford University
- Skiena's Computational Biology Lectures
- Skiena's Computational Finance Lectures
- AM 207 - Monte Carlo Methods and Stochastic Optimization, Harvard University
- CS 193p - Developing Applications for iOS, Stanford University
- CS 223A - Introduction to Robotics, Stanford University
- CS 3152 - Introduction to Computer Game Development, Cornell University
- Open Sourced Elective: Database and Rails - Intro to Ruby on Rails, University of Texas (Lectures - Youtube)
- SCICOMP - An Introduction to Efficient Scientific Computation, Universität Bremen (Lectures - Youtube)
- MIT CMS.611J Creating Video Games, Fall 2014
- Lecture: Visual Navigation for Flying Robots - TUM
- Image Processing and Analysis (Course) UC Davis
- CSEP590A: Practical Aspects of Modern Cryptography, Winter 2011 - University of Washington (Videos)
- CSEP 510: Human Computer Interaction
- CS E-259 XML with Java, Java Servlet, and JSP - Harvard
- CS S-76 Building Mobile Applications - Harvard
- CSE 40373 - Spr 2009: Multimedia Systems