ME 231 - Machine Learning and Optimization in Mechanical Engineering

3 unit(s)
Introduction to the basics of machine learning and optimization employed in engineering. Modules are comprised of lectures and labs including linear/nonlinear programming, convex/nonconvex/multi-objective/global optimization, linear models, neural networks, nonparametric models, semi-supervised learning, and high-performance computing.

Lecture 2 hours/Lab 3 hours.

Prerequisite(s): Graduate standing or instructor consent
Grading: Letter Graded

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