MAE 530 - Introduction to Design Optimization

Description
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. Enrollment Requirements: Prereq: MAT 485.
Credits
3
Recent Professors
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Recent Semesters
Fall 2019, Fall 2018
Offered
TuTh
Avg. Class Size
30
Avg. Sections
1