Computer Science

Open Courseware and Resources (general)

- Computer Science: study of the theoretical foundations of information and computation and their implementation and application in computer systems (Wikipedia).

Computer Science and Information Technology (IT) (general)

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  Computer Science - Open Courseware (OCW) 

The following links have been chosen by iBerry as good examples of OCW for this topic. Only significant content such as notes, images, videos etc covering topics in reasonable depth are included. Items consisting only of course advertisements, sub-topic headings, single lectures or where a significant proportion of material is password protected are not included. Comments are welcome!

Data Structures and Algorithms

Principles of Algorithm Analysis, Reasoning about algorithm, ADTS, Graphs

Great Ideas in Theoretical Computer Science

central ideas of theoretical computer science, vision of "computer science beyond computers", Euclid's algorithm, ancient examples of computational thinking, propositional logic, Turing machines and computability, finite automata, Gödel's theorems, efficient algorithms, NP-completeness, the P versus NP problem, decision trees and other concrete computational models, power of randomness, cryptography, one-way functions, computational theories of learning, interactive proofs, quantum computing, physical limits of computation

Introduction to Computer Science | Programming Abstractions

Abstraction and its relation to programming, Software engineering principles of data abstraction and modularity, Object-oriented programming, fundamental data structures and data-directed design, Recursion and recursive data structures, time and space complexity analysis, C++ basic facilities: handouts

Computers and computer systems

computers through examples of processors in kitchen scales and digital cameras: Computers and processors, systems, Representing data and instructions inside a computer, Examples of computers, A look to the future, Computer programs

Machine Learning

machine learning and statistical pattern recognition, supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control, recent applications of machine learning such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition and text and web data processing

Information Technology Essentials

broad coverage of technology concepts and trends, fundamental principles for effective use of computer-based information systems, special emphasis on networks and distributed computing including the WWW: hardware and operating systems, software development tools and processes, relational databases, security and cryptography, enterprise applications, electronic commerce

An Introduction to Data and Information

what a web browser is and how to use one, use of search engines to find information more effectively, how data is transformed into information and relates the topics of data and information to the computer

Introduction to Computers

introduction for non-computer science students, gentler, lighter survey course without delving too much into technical details, also examines computers from the perspective on how they influence society

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