We study independently: a selection of video courses on Computer Science

Content

1. Introduction to Computer Science
2. Data Structures and Algorithms
3. System Programming
4. Distributed systems
5. Database
6. Object-oriented design and software development
7. Artificial Intelligence
8. Machine learning
9. Web development and internet technology
10. Concurrency
11. Computer networks
12. Mobile Application Development
13. Mathematics for programmers
14. Computer Science Theory and Programming Languages
15. Computer architecture
16. Security
17. Computer graphics
18. Imaging and computer vision
19. Human Computer Interface
20. Computational Biology
21. Other

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 - MIT OCW - Introduction to Electrical Engineering and Computer Science
  
• 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 101 - Computer Science 101, Stanford University (Register free to access Videos)
  
• CS E-1 Understanding Computers and the Internet, Spring 2013 - Harvard Extension School ( Spring 2011 )
  
• 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 )
  
• 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
  
• CS225 - Data Structures - University of Illinois at Urbana-Champaign
  

System 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 )
  
• 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
  

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 Clusters, Autumn 2008 - University of Washington ( Videos )
  
• MOOC - Cloud Computing Concepts - UIUC
  

Database

• 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
  

Object-oriented design and software development

• 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, Modeling and Analysis in UML - WS 2012 - Universität Freiburg
  

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
  
• Advanced AI Techniques - WS 2005 - Universität Freiburg ( WS 2004 )
  

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

• 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
  
• Deep Learning - University of Waterloo
  

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 - University of Texas, Statistical and Discrete Methods for Scientific Computing
  
• Statistical Learning- Classification - University of Waterloo
  
• 9.520 - Fall 2015 - Statistical Learning Theory and Applications, 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
  
• Concurrency Theory and Practice - WS 2010 - Universität Freiburg
  

Computer networks

• Prof. Shiv Kalyanaraman's Online Audio & Video on Computer Networking
  
• Washington University in St. Louis 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 )
  
• 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
  

Mobile Application 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
  
• CSSE490 Android Development Rose-Hulman Winter 2010-2011, Dave Fisher
  
• iOS Course, Dave Fisher
  

Mathematics for programmers

• 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
  
• 06/18 - Linear Algebra, Prof. Gilbert Strang, MIT OCW
  
• 36-705 - Intermediate Statistics - Larry Wasserman, CMU
  
• STATS 250 - 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 - NJ Wildberger - UNSW
  

Web development and internet technology

• CS 75 Building Dynamic Websites - Harvard University
  
• 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
  

Computer Science Theory 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
  
• 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 )
  

Computer 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
  

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 )
  

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
  

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
  

Human Computer Interface

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

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
  

Other

• 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
  
• 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