Free Online Computer Science courses

Recently I came across this excellent post on aGupieWare’s blog listing down all the free online computer science course materials.
Here is the complete list copied AS-IS from the post:

Introductory Courses

Intro to Computer Science:

• Introduction to Computer Science and Programming: MIT 
• Intensive Introduction to Computer Science: Harvard 
• Introduction to Computer Science and Programming Methodology: Stanford 
  • Programming Abstractions (Second Course in Unit): Stanford

Mathematics:

• Mathematics for Computer Science: MIT
• Discrete Mathematics: ArsDigita

Programming:

• Programming 1: University of Toronto
• Programming 2: University of Toronto

Theory of Computation:

• Introduction to the Theory of Computation: Stonehill
• Principles of Computing: Rice 

Data Structures and Algorithms:

• Introduction to Data Structures and Algorithms: UNSW
• Introduction to Algorithms: MIT

Core Courses

Theory:

• Theory of Computation: UC Davis
• Theory of Computation: ITT Kanpur 

Algorithms and Data Structures:

• Efficient Algorithms and Intractable Problems: Berkeley
• Data Structures: Berkeley

Mathematics:

• Linear Algebra through Computer Science Applications:  Brown
• Discrete Math and Probability Theory: Berkeley

Operating Systems:

• Operating Systems and Systems Programming: Berkeley 
• Introduction to Linux: edX

Computer Programming:

• Programming Paradigms: Stanford
• Object Oriented Programming: MIT
• Object Oriented Programming in C++: ITU

Software Engineering:

• Software Engineering: Berkeley
• Elements of Software Construction: MIT

Computer Architecture:

• Computer Architecture: Carnegie Mellon 
• Computer Architecture: Princeton

Data Management:

• Introduction to Databases: Stanford
• Introduction to Modern Database Systems: Saylor

Networking and Data Communications:

• Fundamentals of Computer Networking: Manhattan College
• Introduction to Data Communications:  Thammasat University

Cryptography and Security:

• Introduction to Cryptography: Ruhr University 
• Introduction to IT Security: Thammasat University

Artificial Intelligence:

• Introduction to Artificial Intelligence: Berkeley

Intermediate and Advanced Courses

Algorithms and Data Structures:

• Advanced Data Structures: MIT  
• Analytic Combinatorics: Princeton

Systems:

• Computer System Engineering: MIT 
• The Hardware/Software Interface: University of Washington

Programming:

• Design in Computing: UNSW
• Principles of Programming Languages: IIT
• C++ for C Programmers: UC Santa Cruz
• Heterogeneous Parallel Programming: University of Illinois
• Compilers: Stanford

Software Engineering:

• Mobile Software Engineering: Harvard 
• Software Engineering for Scientific Computing: Berkeley

Mobile App Development:

• Building Mobile Applications: Harvard
• iPhone Application Development: ITU
• Android Application Development: ITU

Web Development:

• Building Dynamic Websites: Harvard

Databases and Data Management:

• Introduction to Database Management Systems: KU Leuven University
• Database Management Systems: Ars Digita
• Advanced Databases: Saylor

Security:

• Security and Cryptography: Thammasat University 
• Designing and Executing Information Security Strategies: University of Washington
• Information Security and Risk Management in Context: University of Washington

Cryptography:

• Cryptography 1: Stanford
• Cryptography 2: Stanford
• Bilinear Pairings in Cryptography: BIU

Artificial Intelligence and Machine Learning:

• Artificial Intelligence: HRW
• Artificial Intelligence: Berkeley
• Machine Learning: Stanford

Natural Language Processing:

• Natural Language Processing: Columbia
• Natural Language Processing: Stanford

Digital Media:

• Digital Image Processing: Purdue 
• Computer Graphics: Berkeley
• Computer Graphics: ITU

Networking and Communications:

• Computer Networks: University of Washington
• Internet Technologies and Applications: Thammasat University

Statistics and Probability:

• Statistics and Probability: Harvard
• Probabilistic Systems Analysis and Applied Probability: MIT
• Statistical Inference: Johns Hopkins
• Data Analysis and Statistical Inference: Duke

I went through the Harvard CS course before few years and it was lot of fun.

Enjoy Learning…