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Computer ScienceOpen 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)Sorry! This page has now been relocated. Please bookmark the new Computer Science and IT Page.
OCW Computer Science  Open Courseware (OCW)
Data Structures and AlgorithmsPrinciples of Algorithm Analysis, Reasoning about algorithm, ADTS, Graphs
Mathematical Foundations of Computer Scienceformal mathematical concepts of computer science, elementary logic, set theory, relations, deduction, induction, algorithmic processes, graph theory, models of computation
Great Ideas in Theoretical Computer Sciencecentral 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, NPcompleteness, the P versus NP problem, decision trees and other concrete computational models, power of randomness, cryptography, oneway functions, computational theories of learning, interactive proofs, quantum computing, physical limits of computation
Introduction to Computer Science  Programming AbstractionsAbstraction and its relation to programming, Software engineering principles of data abstraction and modularity, Objectoriented programming, fundamental data structures and datadirected design, Recursion and recursive data structures, time and space complexity analysis, C++ basic facilities: handouts
Computers and computer systemscomputers 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 Learningmachine 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 Essentialsbroad coverage of technology concepts and trends, fundamental principles for effective use of computerbased 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 Informationwhat 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

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