MTH 435
Mathematics for Data Driven Modeling
University of Wisconsin-La Crosse · UGRD · Fall 2026
1 section
Catalog description
This course is an in-depth study of modern applied mathematics and its application in data-driven science and engineering. Topics include dimensional reduction (single value decomposition), Fourier Analysis (with applications in signal/image processing), machine learning, data-driven dynamical systems, and control. Prerequisite: grade of "C" or better in CS 120 and MTH 309, or grade of "C" or better in MTH 308 . Offered Spring - Even Numbered Years.
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001
Availability not recently verifiedClass #wisconsin_la_crosse-1164Fall 2026UGRD3 credits
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