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CSI 600 - Quant Fndtns Comput Sci |
Accelerated review of mathematical tools for scientific applications and analysis. Topics include vectors and matrices; differential and difference equations; linear systems; Fourier, Laplace, and Z-transforms; and probability theory. Notes: Not applicable to 48-credit course total for CSI PhD.
3.000 Credit hours 3.000 Lecture hours Levels: Graduate, Non-Degree, Undergraduate, Washington Consortium Schedule Types: Lecture Computational & Data Sciences Department Course Attributes: Graduate - First Restrictions: Must be enrolled in one of the following Levels: Non-Degree Undergraduate Graduate May not be enrolled in one of the following Degrees: Non-Degree Undergraduate Must be enrolled in one of the following Classifications: Senior Plus Non-Degree Advanced to Candidacy Graduate |
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