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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).
theory and application of AI: Problem Solving, Search and Control Strategies, Knowledge Representation Issues, Predicate Logic, Rules, Reasoning System (Symbolic, Statistical), Game Playing, Learning, Expert System, Fundamentals of Neural Networks, Fundamentals of Genetic Algorithms, Natural Language Processing, Common Sense
fundamentals of computer programming and problem solving, structured and object-oriented programming, syntax, semantics, testing/debugging, implementation, documentation, recursion, and linked data structures, Java, development on both Unix and Windows platforms using text editing and an IDE
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 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
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
Principles of Computing, Programming Concepts and Data Data Analysis, Computing, Introduction to
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 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
ultimate limits to communication and computation, emphasis on physical nature of information and information processing: information and computation, digital signals, codes and compression, applications (biological representations of information, logic circuits, computer architectures, and algorithmic information, noise, probability, error correction, reversible and irreversible operations, physics of computation, quantum computation), concept of entropy applied to channel capacity and second law of thermodynamics
basic concepts & methods of AI from computer science perspective, selection of data representations & algorithms useful in design & implementation of intelligent systems, overview of one AI language & some discussion of important applications of AI methodology: code examples, tutorials, resources, Student Projects
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