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
Shared Competencies Information Literacy and Technological Agility