kopia lustrzana https://github.com/Developer-Y/cs-video-courses
algorithmsbioinformaticscomputational-biologycomputational-physicscomputer-architecturecomputer-sciencecomputer-visiondatabase-systemsdatabasesdeep-learningembedded-systemsmachine-learningprogramming-languagequantum-computingreinforcement-learningroboticssecuritysystemsweb-development
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README.md
Computer Science video courses
Introduction
List of Computer Science courses with video lectures.
- Please note:
- Focus would be to keep the list to the point so that it is readable and usable. To access syllabus/notes/assignments, please visit link to the course or use Google search with course number/name.
- Only MOOCs with comprehensive lecture material which may be equivalent to a standard University course will be added.
- NPTEL contains large number of good Computer Science courses. To check courses by Indian IIT's, please refer nptel site.
- Disclaimer: The links have been taken from public domain websites like Open courseware sites, class-central, , YouTube channels for Universities, University pages, Google, itunes U, blog posts and similar sites like awesome-courses etc. If you are University Professor for any course listed below and would like Your course to be removed from the list, please raise an issue with course details.
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
- 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
- CS1301 Intro to computing - Gatech
- 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
- 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)
- 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
Systems Programming
- 6.033 Computer System Engineering - MIT
- CS361 - COMPUTER SYSTEMS - UIC
- CS24 Introduction to Computing Systems - California Institute of Technology (Spring 15 version)
- 15-213 Introduction to Computer Systems, Fall 2015 - CMU
- 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)
- 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
- 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
Database Systems
- CS 5530 - Database Systems, Spring 2016, University of Utah
- MOOC - Database Stanford Dbclass
- CSEP 544, Database Management Systems, Au 2015 - University of Washington
- 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
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
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
Machine Learning
- Introduction to Machine Learning
- MOOC Machine Learning Andrew Ng
- 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
- 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
- MOOC - Data Mining with Weka
- CS 290 DataMining Lectures
- Probabilistic Graphical Modeling
- Deep Learning
- Advanced Machine Learning
- 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 - 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
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. Louis
- 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
Mobile Applications Development
- MOOC Programming Mobile Applications for Android Handheld Systems - University of Maryland
- CS 193a - Android App Development, Spring 2016, Stanford University
- CS 193p - Developing Applications for iOS, Stanford University
- CS S-76 Building Mobile Applications - Harvard
- CSSE490 Android Development Rose-Hulman Winter 2010-2011, Dave Fisher
- iOS Course, Dave Fisher
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
- 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
- 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
Web Programming and Internet Technologies
- CS 75 Building Dynamic Websites - Harvard University
- 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
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
- 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)
- CS581 Theory of Computation - Portland State University (Lectures - Youtube)
- Theory of Computation - Fall 2011 UC Davis
Computer Organization and Architecture
- How Computers Work - Aduni
- 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)
- 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)
Security
- 6.858 Computer Systems Security - MIT OCW
- CIS 4930/ CIS 5930 - Offensive Computer Security, Florida State University
- 18-636 Browser Security, Stanford
- IT Security, Steven Gordon - Thammasat University, Thailand
- Security and Cryptography, Steven Gordon - Thammasat University, Thailand
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
Computer Vision
- Image Processing and Analysis UC Davis
- CAP 5415 - Computer Vision, University of Central Florida
- Lecture: Variational Methods for Computer Vision (Prof. D. Cremers) TUM
Misc
- Skiena's Computational Biology Lectures
- Skiena's Computational Finance Lectures
- AM 207 - Monte Carlo Methods and Stochastic Optimization, Harvard 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
- CSE 40373 - Spr 2009: Multimedia Systems
- Introduction to Vision and Robotics
- CS147: Introduction to Human-Computer Interaction Design - Stanford
- EENG 512 / CSCI 512 - Computer Vision - Colorado School of Mines