Optimization with Engineering Applications

Catalog description

Students will be able to solve a variety of optimization problems using optimization software or the optimization routines available in spreadsheets. Linear, non-linear, and discrete problems will be solved. Students will learn the theory of improving search methods, which are the basis for all optimization algorithms. An emphasis will be placed on the need for the modeler to examine the practicality of program results. Also, students will perform a Life Cycle Analysis, which is an optimization procedure that minimizes the impacts on the environment. Components: Class Typically Offered: Fall - Spring