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Course Criteria
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1.00 Credits
Prerequisites: Computer Science 173 and Mathematics 236 or 247. A unified introduction to image synthesis and image analysis aimed at students with an interest in computer graphics, computer vision or the visual arts. Covers the basics of image generation, image manipulation and digital special effects. Includes a significant programming project using the OpenGL programming interface. Offered every third year. Connamacher, Reimann.
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1.00 Credits
Prerequisite: Computer Science 173. An introduction to the techniques of developing large software projects including unit testing, version control and build management. Covers the popular industrial languages C and C++ and includes a large-group programming project. Offered every third year. Connamacher, Reimann.
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0.25 Credits
Prerequisite: Mathematics 143 or Computer Science 173. Selected topics in mathematics and computer science as presented by students, departmental faculty and visiting speakers. Requirements include written summaries of each presentation and a paper on a mathematics/computer science topic of personal interest. Same as Mathematics 299. Staff.
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1.00 Credits
Prerequisites: Mathematics 236 or 247, and Computer Science 171. Methods of obtaining numerical solutions to mathematical problems. Stresses the implementation and error analysis of algorithms. Topics include solution of non-linear equations, systems of equations, interpolating polynomials, numerical integration and differentiation, numerical solutions to ordinary differential equations, and curve fitting. Offered in alternate years. Same as Mathematics 316. Mason.
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1.00 Credits
Prerequisites: Mathematics 236 or 247, and Mathematics 245. An introduction to computational methods in mathematical modeling including linear programming and Markov chains. Applications in business, economics and systems engineering. Knowledge of probability will be helpful. Offered in alternate years. Same as Mathematics 326. Mason.
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1.00 Credits
Prerequisites: Mathematics 239 and Computer Science 171. Focuses on the design and efficiency of algorithms. Covers the basic algorithm paradigms including graph traversals, greedy algorithms, divide and conquer, dynamic programming and flow algorithms. Introduces complexity theory, NP-completeness and polynomial-time reductions. Additional topics may include approximation algorithms, randomized algorithms and linear programming. Offered in alternate years. Connamacher.
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1.00 Credits
Prerequisite: Computer Science 173. Organization of digital computers: digital logic, arithmetic, assembly language, data paths, memory, input-output, secondary storage devices, multiprocessors and computer performance. Programming tools and techniques are also discussed with emphasis on their application in assembly language. Offered in alternate years. Reimann.
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1.00 Credits
Prerequisite: Computer Science 173. A survey of the structure of programming languages and programming as an abstract concept. Topics include syntax and semantics, scope rules, environments, types, procedures, parameters, overloading, parametric polymorphism and inheritance. Projects include programming in the functional paradigm using the Scheme programming language and development of a language interpreter. Offered in alternate years. Connamacher.
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1.00 Credits
Prerequisites: Mathematics 239 and Computer Science 171. The theoretical underpinnings of computer science: models of computation including automata, Turing machines, circuits, the Chomsky language hierarchy, Church's thesis, computable and noncomputable functions, recursive and recursively enumerable sets, reducibility and introduction to complexity theory. Connamacher.
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1.00 Credits
Prerequisites: Mathematics 247 and Computer Science 171. An introduction to analytical methods in mathematical modeling including nonlinear optimization, dynamical systems and random processes. Applications in physics, biology, economics and systems engineering. Knowledge of probability and statistics will be helpful. Same as Mathematics 360. Mason.
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