Physics 367
Scientific Computation
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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