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Course Criteria
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3.00 Credits
Study of an area in computer science. Content, differing from year to year, has included computer organization, neural networks, genetic algorithms and parallel computation. Prerequisite, any computer science course and consent of the instructor. May be taken more than once. Maximum enrollment, 26.
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3.00 Credits
Development of expertise in the programming language Lisp. Emphasis on learning technique and solving problems naturally suited to Lisp. One-quarter course credit. Students may count up to one credit from courses numbered 290-298 toward graduation.
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3.00 Credits
Development of expertise in the programming language C++. Emphasis on learning technique and solving problems naturally suited to C++. One-quarter course credit. Students may count up to one credit from courses numbered 290-298 toward graduation.
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3.00 Credits
Development of expertise in the programming language Fortran. Emphasis on learning technique and solving problems naturally suited to Fortran. One-quarter course credit. Offered credit/no credit. May be repeated once. Students may count up to one credit from courses numbered 290-298 toward graduation. Maximum enrollment, 20.
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3.00 Credits
In this course we will explore the state-of-the-art in natural language processing, that is, algorithms for extracting useful information from written text, and tools that employ these algorithms in various ways. Topics include NL parsing, morphological analysis, part-of-speech tagging, semantic mapping of terms, knowledge representation, and ontologies. A particular domain of interest, though not an exclusive one, will be the extraction of knowledge from abstracts of scientific papers in bio-medicine. Prerequisite, CPSCI 110. Maximum enrollment, 10.
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3.00 Credits
Study of how computers are built. Starting with fundamental logic gates, students will learn how to construct fundamental computational, memory and control components using digital logic. Students study the implementation of arithmetic logic units, processor control and datapath design. Topics will include performance analysis, pipelining, cache design, virtual memory, disk storage, and multicore design. Theory intensive. Prerequisite, 240. Some programming required. Maximum enrollment, 26.
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3.00 Credits
Study of the design and implementation of computer operating systems. Students will develop at least four significant projects related to the topics of process scheduling, interprocess communication, memory management, file systems, access control, device drivers and security. Programming intensive. Prerequisite, 240. Maximum enrollment, 26.
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3.00 Credits
A study of modern database systems. Topics include data models, query languages, topics in database design, efficiency issues in query processing and database system architecture. Typical activities will consist of design and analysis of parts of a relational database, implementing queries in the SQL language, and time and space analysis of possible database architectures. Theory intensive. Prerequisite, 111. Maximum enrollment, 26.
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3.00 Credits
Reading in a field of computer science. The class will read several papers assigned weekly from research conference proceedings and journals. Classes will consist of discussions of the day's paper(s). Students will develop a comprehensive annotated bibliography and lead the daily discussions. Does not count toward the concentration or minor. Prerequisite, Consent of instructor. May be repeated for credit with permission of the department. Maximum enrollment, 6.
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3.00 Credits
Investigation of the manner in which technological innovations arise to meet social needs and often later create unforeseen needs, with emphasis on digital technology. Topics will include the nature and history of digital computation, the development of the Internet, the storage and manipulation of digital information and the economic, social, and legal consequences of these technologies. May not be counted toward the concentration or the minor. Decker.
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