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Course Criteria
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3.00 Credits
3 hours; 3 credits Review of programming language structures, translation, loading, execution, and storage allocation. Compilation of simple expressions and statements. Organization of a compiler including compile-time and run-time symbol tables, lexical scan, object code generation, error diagnostics, object code optimization techniques, and overall design. Use of compiler-writing languages and bootstrapping. Prerequisite: Computer and Information Science 2.10 or 2.20 or 2.30 or 2.40 or 2.50 or 2.70 or 2.85 or 26; 11; and 22.
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2.00 Credits
2 hours lecture, 2 hours laboratory; 3 credits A comprehensive survey of the design, implementation, history, and use of the Internet. Data communications and network concepts,Transmission Control Program/Internet Protocol (TCP/IP), client-server computing, e-mail and Web applications, Hypertext Markup Language (HTML), and client-side scripting tools. Security issues, financial and political applications, ethical concerns. (Not open to students who have completed any computer and information science course numbered 13 or higher.) Prerequisite: Core Curriculum 3.12 or Core Studies 5 or 5.1 or any course in computing.
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2.00 Credits
2 hours lecture, 2 hours laboratory; 3 credits Principles of good design in a digital context. Internet hardware and software, digital display basics. Tools and techniques for creating digital media. Aesthetics in digital media, interface design guidelines, supporting interaction on the Web. (Not open to students who are enrolled in or have completed Computer and Information Science 13.2 or 52.) Prerequisite: Core Curriculum 3.12 or Core Studies 5 or 5.1 or any course in computing.
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3.00 Credits
3 hours; 3 credits How the Internet can be used to conduct business. Topics covered include: Internet hardware and software, tools and technologies for creating a Web site, characteristics of successful Web sites, new technologies, the future of the Internet,Web communication strategies, security issues, legal and ethical issues, Internet information services, data mining, global E-commerce. Case studies of successful E-commerce businesses will be examined. This course is the same as Business 31.5. Prerequisite: Core Curriculum 3.12 or Core Studies 5 or 5.1 or any course in computing. Computer and Information Science 135
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3.00 Credits
3 hours; 3 credits A broad view of software engineering that introduces a variety of software engineering techniques that can be applied to practical software projects. Topics include: process models, software specification, software design, software development methods and tools, verification and validation, reliability, and human factors. Prerequisite: Computer and Information Science 22.
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4.00 Credits
4 hours; 3 credits A broad view of software engineering that introduces a variety of software engineering techniques that can be applied to practical software projects. Topics include: process models, software specification, software design, software development methods and tools, verification and validation, reliability, and human factors. Writing-intensive section. Prerequisite: Computer and Information Science 22 and English 2.
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3.00 Credits
3 hours; 3 credits Techniques for making computers exhibit intelligent behavior. Topics covered are taken from the areas of problem solving, perception, game playing, knowledge representation, natural language understanding, programs that learn (adaptive programs), expert systems, and programming languages for work in artificial intelligence. Prerequisite: Computer and Information Science 21 or 22.
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3.00 Credits
3 hours; 3 credits Basic principles of mobile robotics: architectures, mathematical foundations, control algorithms, human robot interaction, and practical applications. Applications include robots in the home, and robots in search and rescue work. Involves programming different kinds of robots. Prerequisites: Computer and Information Science 26 and 11.
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3.00 Credits
3 hours; 3 credits Media types and their representation. Multimedia coding and compression. Lossless data compression. Lossy data compression. Compression standards: text, audio, image, fax, and video. Prerequisite: Computer and Information Science 11 and 22, and Mathematics 4.3.
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3.00 Credits
3 hours; 3 credits Overview of theoretical computer science. Formal language theory, computability theory. Finite automata, context-free and regular grammars, push-down automata, and Turing machines. Other models of computation, including recursive functions. Universal program and unsolvability. Prerequisite: Computer and Information Science 11, 21, or 22, and Mathematics 3.20, 3.3, or 4.10.
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