Ox24/cs-video-courses

List of Computer Science courses with video lectures.

Computer Science video courses

For Introduction/Contribution guidelines, please refer CONTRIBUTING.md

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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 and Internet Technologies
• Concurrency
• Computer Networks
• Mobile Applications Development
• Math for Computer Scientist
• Theoretical CS and Programming Languages
• Computer Organization and Architecture
• Security
• Computer Graphics
• Image Processing and Computer Vision
• HCI
• 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
• SPD1 - Systematic Program Design [Racket], University of British Columbia
• CS E-1 Understanding Computers and the Internet, Spring 2013 - Harvard Extension School (Spring 2011)
• CSE 142 Computer Programming I (C Programming), Autumn 2000 - University of Washington
• CSE 142 Computer Programming I (Java Programming), Spring 2016 - University of Washington
• CS1301 Intro to computing - Gatech
• MOOC: Introduction to Computer Science - Udacity
• CS 106A - Programming Methodology, Stanford University
• CS 106B - Programming Abstractions, Stanford University
• CS 107 - Programming Paradigms, Stanford University
• Introduction to Programming with Arcade Games, Simpson College

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Data Structures and Algorithms

• CS 61B - Data Structures, UC Berkeley
  • Fall 2006 - Prof. Jonathan Shewchuk
  • Spring 16 - Josh Hug
• MOOC - Design and Analysis of Algorithms Part 1 - Prof Roughgarden - Coursera (Part 2)
• MOOC - Algorithms Part 1 - Prof Sedgewick (Part 2)
• COP 3530 Data Structures and Algorithms, Prof Sahni, UFL (Videos)
• CS225 - Data Structures - University of Illinois at Urbana-Champaign
• CS2: Data Structures and Algorithms - Richard Buckland - UNSW
• 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
• CS16 Introduction to Algorithms and Data Structures - Brown University
• 6.046J - Introduction to Algorithms - Fall 2005, MIT OCW
• 6.046 - Design and Analysis of Algorithms, Spring 2015 - MIT OCW
• CS 473: Algorithms - University of Illinois at Urbana-Champaign
• 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)
• CS264 Beyond Worst-Case Analysis, Fall 2014 - Tim Roughgarden Lecture (Youtube)
• CS364A Algorithmic Game Theory, Fall 2013 - Tim Roughgarden Lectures
• CS364B Advanced Mechanism Design, Winter 2014 - Tim Roughgarden Lectures
• Algorithms - Aduni
• Advanced Topics in Algorithms and Datastructures - SS 2005 - Universität Freiburg
• Algorithmentheorie/Algorithms Theory - WS 2013 - Universität Freiburg (WS 2011)
• Theory I - SS 2010 - Universität Freiburg

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Systems Programming

• 6.033 Computer System Engineering - MIT
• CS24 Introduction to Computing Systems - California Institute of Technology (Spring 15 version)
• 15-213 Introduction to Computer Systems, Fall 2015 - CMU
• CS361 - COMPUTER SYSTEMS - UIC
• CS124 Operating Systems - California Institute of Technology
• Systems - Aduni
• 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) (Recitations 2016)
• 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
• 6.172 Performance Engineering of Software Systems - MIT OCW
• Software Engineering for Self Adaptive Systems - iTunes - HPI
• Real-Time Systems - SS 2013 - Universität Freiburg
• System Infrastructure For Data Science - WS 2012 - Universität Freiburg

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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
• CS138 Distributed Computer Systems Spring 2016 - Brown University
• 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)
• MOOC - Cloud Computing Concepts - UIUC

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Database Systems

• CS121 - Introduction to Relational Database Systems, Fall 2016 - Caltech
• CS122 - Relational Database System Implementation, Winter 2014-2015 - Caltech
• CS 5530 - Database Systems, Spring 2016, University of Utah
• MOOC - Database Stanford Dbclass
• CSEP 544, Database Management Systems, Au 2015 - University of Washington
• CMPSC 431W Database Management Systems, Fall 2015 - PSU
• Principles of Database Management, Bart Baesens
• 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]
• FIT9003 Database Systems Design, Rob Meredith, Monash University

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Object Oriented Design and Software Engineering

• ECE 462 Object-Oriented Programming using C++ and Java - Purdue
• Object-oriented Program Design and Software Engineering - Aduni
• 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
• Model Driven Archtitecture - WS 2005 - Universität Freiburg
• Software Design, Modelling and Analysis in UML - WS 2012 - Universität Freiburg
• MOOC: Software Architecture & Design - Udacity

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Artificial Intelligence

• CS 188 - Introduction to Artificial Intelligence, UC Berkeley
• 6.034 Artificial Intelligence, MIT OCW
• 15-780: Graduate Artificial Intelligence, Spring 14, CMU
• CSE 592 Applications of Artificial Intelligence, Winter 2003 - University of Washington
• MOOC: Intro to Artificial Intelligence - Udacity
• MOOC: Artificial Intelligence for Robotics - Udacity
• Advanced AI Techniques - WS 2005 - Universität Freiburg (WS 2004)

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Machine Learning

• Introduction to Machine Learning
  • MOOC Machine Learning Andrew Ng - Coursera/Stanford (Notes)
  • MOOC - Statistical Learning, Stanford University
  • CS 156 - Learning from Data, Caltech
  • 10-601 - Introduction to Machine Learning (MS), Carnegie Mellon University
  • 10-701 - Introduction to Machine Learning (PhD) - Tom Mitchell, Spring 2011, Carnegie Mellon University (Fall 2014)
  • 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 5350/6350 - Machine Learning, Fall 2016, University of Utah
  • ECE 5984 Introduction to Machine Learning, Spring 2015 - Virginia Tech
  • STA 4273H (Winter 2015): Large Scale Machine Learning
  • CS 485/685 Machine Learning, Shai Ben-David, University of Waterloo
  • Machine Learning and Data Mining - WS 2004 - Universität Freiburg
• Data Mining
  • CSEP 546, Data Mining - Pedro Domingos, Sp 2016 - University of Washington (YouTube)
  • CS 5140/6140 - Data Mining, Spring 2016, University of Utah (Youtube)
  • CS 5955/6955 - Data Mining, University of Utah (YouTube)
  • Statistical Aspects of Data Mining (Stats 202) - Google
  • MOOC - Text Mining and Analytics by ChengXiang Zhai
  • Information Retrieval SS 2014, iTunes - HPI
  • MOOC - Data Mining with Weka
  • CS 290 DataMining Lectures
  • CS246 - Mining Massive Data Sets, Winter 2016, Stanford University (YouTube)
• Probabilistic Graphical Modeling
  • MOOC: Probabilistic Graphical Models - Coursera
  • CS 6190 - Probabilistic Modeling, Spring 2016, University of Utah
  • 10-708 - Probabilistic Graphical Models, Carnegie Mellon University
  • Probabilistic Graphical Models, Daphne Koller, Stanford University
• Deep Learning
  • Deep learning at Oxford 2015 - Nando de Freitas
  • DS-GA 1008 - Deep Learning, New York University
  • Deep Learning, Stanford University
  • MOOC: Neural Networks for Machine Learning — Geoffrey Hinton 2016 - Coursera
  • Deep Learning - University of Waterloo
  • Neural networks class - Université de Sherbrooke (YouTube)
• Advanced Machine Learning
  • Machine Learning 2013 - Nando de Freitas, UBC
  • Machine Learning: 2014-2015, University of Oxford
  • 10-702/36-702 - Statistical Machine Learning - Larry Wasserman, Spring 2016, CMU (Spring 2015)
  • 10-715 Advanced Introduction to Machine Learning - CMU (YouTube)
• Natural Language Processing and Computer Vision
  • CS 224d - Deep Learning for Natural Language Processing, Stanford University (Lectures - Youtube)
  • CS 224N - Natural Language Processing, Stanford University
  • MOOC: Natural Language Processing, Dan Jurafsky & Chris Manning - Coursera
  • MOOC - Natural Language Processing - Coursera, University of Michigan
  • CS 231n - Convolutional Neural Networks for Visual Recognition, Stanford University
  • Machine Learning for Computer Vision - TUM
• Misc Machine Learning Topics
  • CS 6955 - Clustering, Spring 2015, University of Utah
  • Info 290 - Analyzing Big Data with Twitter, UC Berkeley school of information
  • 10-725 Convex Optimization: Spring 2015 - CMU
  • 10-801 Advanced Optimization and Randomized Algorithms
  • CS 229r - Algorithms for Big Data, Harvard University (Youtube)
  • CAM 383M - Statistical and Discrete Methods for Scientific Computing, University of Texas
  • Statistical Learning- Classification - University of Waterloo
  • 9.520 - Statistical Learning Theory and Applications, Fall 2015 - MIT
  • Reinforcement Learning - UCL
  • Regularization Methods for Machine Learning 2016 (YouTube)
  • Music Information Retrieval - University of Victoria, 2014

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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
• Concurrency Theory and Practice - WS 2010 - Universität Freiburg

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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. Louis (YouTube)
• Computer Networks, Tanenbaum, Wetherall Computer Networks 5e - Video Lectures (U Washington MOOC)
• CSEP 561: PMP Network Systems, Fall 2013 - University of Washington (Videos)
• CSEP 561 – Network Systems, Autumn 2008 - University of Washington (Videos)
• Introduction to Data Communications 2013, Steven Gordon - Thammasat University, Thailand
• Communication Systems - SS 2008 - Universität Freiburg
• Communication Systems (Telecommunication from ISDN/GSM to VoIP) - WS 2010 - Universität Freiburg
• Internetworking - SS 2005 - Universität Freiburg
• Mobile Computing - WS 2004 - Universität Freiburg
• Network Algorithms - SS 2013 - Universität Freiburg
• Telecommunication Systems - SS 2012 - Universität Freiburg
• Wireless Sensor Networks - WS 2006 (English) - Universität Freiburg

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Mobile Applications Development

• MOOC Programming Mobile Applications for Android Handheld Systems - University of Maryland
• CS 193p - Developing Applications for iOS, Stanford University
• CS S-76 Building Mobile Applications - Harvard
• Android App Development for Beginners Playlist - thenewboston
• Android Application Development Tutorials - thenewboston
• MOOC: Developing Android Apps - Udacity
• MOOC: Advanced Android App Development - Udacity
• CSSE490 Android Development Rose-Hulman Winter 2010-2011, Dave Fisher
• iOS Course, Dave Fisher

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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 - Spring 2015
• 6.041 Probabilistic Systems Analysis and Applied Probability - MIT OCW
• 10-600 Math Background for ML - CMU
• Linear Algebra Review - CMU
• Statistics 110: Probability
• 18.06 - Linear Algebra, Prof. Gilbert Strang, MIT OCW
• 36-705 - Intermediate Statistics - Larry Wasserman, CMU
• MOOC: Statistical Inference - Coursera
• MOOC: Statistics: Making Sense of Data, Coursera
• STATS 250 - Introduction to Statistics and Data Analysis, UMichigan
• 131B - Introduction to Probability and Statistics, UCI
• Multiple View Geometry - Lecture 1 (Prof. Daniel Cremers) TUM
• The Probability and Statistics Full Course - YouTube
• A first course in Linear Algebra - N J Wildberger - UNSW

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Web Programming and Internet Technologies

• CS 75 Building Dynamic Websites - Harvard University
• CSE 199 : How the Internet Works, Fall 2016 - University of Buffalo
• Web Search - SS 2006 - Universität Freiburg
• CSEP545: Transaction Processing for E-Commerce, Winter 2012 - University of Washington (Videos)
• CT 310 Web Development - Colorado State University
• Internet Technologies and Applications 2012, Steven Gordon - Thammasat University, Thailand
• CSCI 3110 Advanced Topics in Web Development, Fall 2011 - ETSU iTunes
• CSCI 5710 e-Commerce Implementation, Fall 2015 - ETSU iTunes
• XML and Semantic Web-Technologies - SS 2005 - Universität Freiburg
• MOOC: Web Development - Udacity

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Theoretical CS and Programming Languages

• MOOC - Compilers - Stanford University
• 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
• CSE341: Programming Languages, Dan Grossman, Spring 2013 - University of Washington
• 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)
• MOOC: Automata - Jeffrey Ullman - Coursera
• CS581 Theory of Computation - Portland State University (Lectures - Youtube)
• Theory of Computation - Fall 2011 UC Davis
• TDA555 Introduction to Functional Programming - Chalmers University of Technology (Lectures - YouTube)
• Philip Wadler Haskell lecture recordings
• Functional Programming - University of Edinburgh - 2016-17
• MOOC - Functional Programming Principles in Scala by Martin Odersky (YouTube)
• CS294: Program Synthesis for Everyone
• MOOC: Principles of Reactive Programming, Scala - Coursera
• Category Theory for Programmers, 2014 - Bartosz Milewski (YouTube)

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Computer Organization and Architecture

• How Computers Work - Aduni
• 6.004 - Computation Structures Spring 2013, MIT
• CS 61C - Machine Structures, UC Berkeley (Lectures - YouTube)
• CS1: Higher Computing - Richard Buckland UNSW
• 18-447 - Introduction to Computer Architecture, CMU (Lectures - YouTube - Fall 15)
• CS 152 Computer Architecture and Engineering, UC Berkeley
• 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
• ECE 4760 Designing with Microcontrollers Fall 2016, Cornell University (Lectures - Youtube)
• CS 267 Applications of Parallel Computers, Spring 16 - UC Berkeley (YouTube)
• CMPE 118/L(218/L) - Mechatronics - Fall 2015
• Software Engineering for Embedded Systems - WS 2010/11 - iTunes - HPI
• ELEC2141 Digital Circuit Design, UNSW
• MOOC: Computer Architecture, David Wentzlaff - Princeton University/Coursera
• MOOC: From NAND to TetrisBuilding a Modern Computer From First Principles (YouTube)
• MOOC: Heterogeneous Parallel Programming - Coursera

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Security

• 6.858 Computer Systems Security - MIT OCW
• CSEP590A: Practical Aspects of Modern Cryptography, Winter 2011 - University of Washington (Videos)
• CIS 4930/ CIS 5930 - Offensive Computer Security, Florida State University
• 18-636 Browser Security, Stanford
• Internet Security - Weaknesses and Targets (WT 2015/16) (WT 2012/13 (YouTube))
• IT Security, Steven Gordon - Thammasat University, Thailand
• Security and Cryptography, Steven Gordon - Thammasat University, Thailand
• Web Security - SS 2008 - Universität Freiburg
• CS461/ECE422 - Computer Security - University of Illinois at Urbana-Champaign (Videos)
• MOOC: Cryptography - Coursera
• MOOC: Intro to Information Security - Udacity
• Introduction to Cryptography, Christof Paar - Ruhr University Bochum, Germany

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Computer Graphics

• CS 5630/6630 - Visualization, Fall 2016, University of Utah (Lectures - Youtube)
• Advanced Visualization UC Davis
• Computer Graphics Fall 2011
• Introduction to Graphics Architecture
• CS184 Computer Graphics, Fall 2012 - UC Berkeley
• Rendering / Ray Tracing Course, SS 2015 - TU Wien

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Image Processing and Computer Vision

• EE225B Digital Image Processing, Spring 2014 - UC Berkeley (Videos - Spring 2006)
• EE637: Digital Image Processing I - Purdue University (Videos - Sp 2011 ,Videos - Sp 2007)
• Image Processing and Analysis UC Davis
• CAP 5415 - Computer Vision, University of Central Florida
• Lecture: Variational Methods for Computer Vision (Prof. D. Cremers) TUM
• Image Processing and Analysis (Course) UC Davis
• Introduction to Vision and Robotics
• EENG 512 / CSCI 512 - Computer Vision - Colorado School of Mines
• MOOC: Digital Image procesing - Duke/Coursera
• MOOC: Introduction to Computer Vision - Udacity

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HCI

• CS147: Introduction to Human-Computer Interaction Design - Stanford
• CSEP 510: Human Computer Interaction
• Programming for Designers - COMP1400-T2 (2010) - UNSW

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Misc

• Computational Biology
  • Skiena's Computational Biology Lectures
  • 6.802J/ 6.874J Foundations of Computational and Systems Biology - MIT OCW
  • Bioinformatic II - WS 2010 - Universität Freiburg
• Computational Finance
  • Skiena's Computational Finance Lectures
  • MOOC: Mathematical Methods for Quantitative Finance, University of Washington/Coursera)
  • 18.S096 Topics in Mathematics with Applications in Finance, MIT OCW
• Game Development
  • MIT CMS.611J Creating Video Games, Fall 2014
  • CS 3152 - Introduction to Computer Game Development, Cornell University
  • Unity3D Tutorials
  • MOOC: Beginning Game Programming with C# - Coursera
• AM 207 - Monte Carlo Methods and Stochastic Optimization, Harvard University
• CS 223A - Introduction to Robotics, Stanford 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)
• Lecture: Visual Navigation for Flying Robots - TUM
• CS E-259 XML with Java, Java Servlet, and JSP - Harvard
• CSE 40373 - Spr 2009: Multimedia Systems
• Exposing Digital Photography - Harvard Extension School
• XML and Databases - WS 2011 - Universität Freiburg
• MOOC: Matlab - Coursera
• Computing for Computer Scientists - University of Michigan

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