MAE 530 - Introduction to Design Optimization

College 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