Computer Science
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Computer Science
- study of the theoretical foundations of information and computation and their implementation and application in computer systems. Computer science has many sub-fields; some emphasize the computation of specific results (such as computer graphics), while others relate to properties of computational problems (such as computational complexity theory). Still others focus on the challenges in implementing computations. For example, programming language theory studies approaches to describing computations, while computer programming applies specific programming languages to solve specific computational problems. A further subfield, human-computer interaction, focuses on the challenges in making computers and computations useful, usable and universally accessible to people - Wikipedia.
introduction to computers and digital technology and culture, conceptual foundations and functions of computer hardware and software, Structure and use of the Internet, Elements of programming for the World Wide Web
XML as a key enabling technology in Java-based applications. Students learn the fundamentals of XML and its derivatives, including DTD, SVG, XML Schema, XPath, XQuery, XSL-FO, and XSLT, programmatic interfaces to XML like SAX and DOM, standard APIs like JAXP and TrAX, and industry-standard software like Ant, Tomcat, Xerces, and Xalan, including JavaServer Pages (JSP) and Java Servlet, explores HTTP, SOAP, web services, and WSDL, projects focus on the implementation and deployment of these technologies: resources, software
Data Cube and OLAP, Data Preprocessing, Association, Classification and Regression, Clustering: reading materials, links
introductory programming course using Lego Mindstorm robots to illustrate the fundamental concepts in computer programming and problem solving, exploring Robotics and Computing Science in a fun and stimulating way: Readings, Tutorials, Exercises, Quizzes, Exam Help
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
Math for Computer Science, Structure and Interpretation of Computer Programs, Discrete Math, How Computers Work, Object-oriented Program Design, Algorithms, Systems, Web Applications, Theory of Computation, Artificial Intelligence, Unix Workshop, Database Management Systems, Applied Probability
heavy programming course, objective of designing & implementing integrated system that perceives, reasons & acts, survey of sound, vision, sensor techniques, intro to AI & machine learning, problem solving, search & game trees, knowledge representation, decision trees, neural-nets, genetic algorithms: projects, links
discrete maths oriented toward computer science & engineering, fundamental concepts of mathematics (definitions, proofs, sets, functions, relations), discrete structures (modular arithmetic, graphs, state machines, counting), discrete probability theory: readings, slides, quizzes
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