MATH 617 - Introduction to Industrial Mathematics

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The objective of this course is the survey of mathematical and statistical techniques traditionally important to quantitative modeling in industry and government. Topics might include, but are not restricted to, data acquisition and manipulation, discrete Fourier transform and image processing, linear programming, regression, random variables and distributions, Monte Carlo method, ordinary and partial differential equations, with applications of these concepts to industrial problems. The course is not designed to substitute for any course covering these topics in detail, but rather to link a survey of techniques to applications.
Prerequisite: Prerequisite: MATH 251, MATH 225, MATH 221, STAT 355 or consent of the instructor. Some programming experience is recommended.