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Course Criteria
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3.00 Credits
Advanced topics in biochemistry, designed to provide senior-level students with an opportunity to explore projects that illustrate how concepts from biology and chemistry relate to the study of biochemistry. Emphasis on development of ability for independent analysis of biochemical problems. Includes lectures by visiting speakers on current research. Students also will complete literature research, submit written reports, and make oral presentations on a biochemical topic chosen in consultation with faculty advisor. Prerequisite: Biology/ Chemistry 328 or permission of instructor. Spring. One 100-minute period. Writing- intensive. St. Dunham
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3.00 Credits
Independent Study
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3.00 Credits
Emphasis on contributions that computer science has made to contemporary society. Topics include physical and logical aspects of computers, algorithms and problem-solving, introduction to programming, and simple computer architecture, supplemented by laboratory exercises in which students create programs or utilize existing programs. Recommended for those not intending a major or minor in the department. Staff
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3.00 Credits
Introduction to the discipline with emphasis on algorithm design and program development. Emphasis on problem-solving activity of developing algorithms. Topics include computer organization, computer usage and application, programming languages, software engineering, data structures, and operating systems. Recommended for students intending to develop or maintain software in their own area of concentration. Prerequisite: Mathematics 106 or equivalent, which may be taken simultaneously with Computer Science 120. (F2) Coleman, Staff
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3.00 Credits
Emphasis on data and procedural abstraction. Basic organizations of instructions and data in hardware design and software development. Topics include encoding schemes for instructions and data, representative machine architectures, data representations in computer memory and in high-level languages. Prerequisite: Computer Science 120. Coleman, Staff
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3.00 Credits
Laboratory-oriented course in computer hardware for science, mathematics, and computer-science students. Topics include logic gates, Boolean algebra, combinational and sequential logic circuits, register-transfer logic, microprocessors, addressing modes, programming concepts, microcomputer system confi guration, and interfacing. Staff
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3.00 Credits
Introduction to classical internal organization of computers with emphasis on low-level (machine language and assembly language) programming. Topics include performance measures, low-level data representations, instruction sets, implementation of data path and control, memory organization and cache, and I/O organization. Laboratory stresses low-level algorithm implementation on RISC processors. Prerequisite: Computer Science 121. Staff 244. Data Structures and Analysis of Algorithms. Issues of static and dynamic aggregates of data. Topics include logical characteristics of various data organizations, storage structures implementing structured data, design and implementation of algorithms to manipulate storage structures, and classical applications of data structures. Representative data structures include stacks, queues, ordered trees, binary trees, and graphs. Implementation and performance issues of contiguous and linked storage. Prerequisites: Computer Science 121 and Mathematics 170 (or 106-166). Coleman
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3.00 Credits
Features of programming languages and methods used to specify and translate them. Topics include block structure, naming, procedure invocations and parameter passage, data types, data accessing, syntactic analysis, and correspondence of source language and object language constructs. Prerequisite: Computer Science 244. Coleman
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