EGN 5445 - Design of Experiments and Optimization

Credits: 3

Course Description: This course will begin with a brief introduction of engineering design and engineering optimization processes. The first portion of the course will be devoted to Design of Experiment (DOE) techniques to enable identification and quantification of design variables and systems modeling. The remainder of the course will be dedicated to classical engineering optimization techniques such as quadratic forms, minimization, linear programming, dynamic programming, Newtonian methods, and multi-objective optimization. Overall, the course will focus greatly on identifying opportunities for optimization as well as determining which optimization method is appropriate for a given opportunity.
Prerequisites: Graduate Standing or permission of the Department Chair.