Full course for one semester. This course covers numerical and laboratory methods for students of science. The primary focus will be on topics in physics, chemistry, and biology. The course begins with the history and modern importance of scientific computation, moves on to methodology and specific algorithms, and closes with individual elective projects to be approved by the instructor. Basic programming will not be taught; the course will concentrate on scientific, not programmatic, aspects, so students must be able to write programs largely on their own. Specific topics include differential equations, matrix methods, signal and image processing, quantum-theoretic models, astrophysical models, and non-linear and chaotic systems. Prerequisites: a sophomore-level course in one of the sciences and experience with a sufficiently strong computer language, such as Pascal or C. Lecture-conference-laboratory. Cross-listed as Biology 367.
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