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Nov 24, 2024
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2021-2022 Graduate Course Catalog [ARCHIVED CATALOG]
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MAE 530 - Introduction to Design OptimizationCollege of Engineering and Computer Science
3 credit(s) At least 1x fall or spring
Theory and use of numerical design optimization methods. Problem formulation, practical application, and results analysis. Unconstrained nonlinear problems, constrained linear and nonlinear problems, and multi-objective optimization. Graduate students will do additional work in surrogate models and optimizing under uncertainty. Extensive use of Matlab functions and programming.
PREREQ: MAT 485
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