Optimization and Computational Methods

3 credits · College of Engineering catalogue

Advisory Prerequisite: None. Enforced Prerequisite: (MATH 214 or MATH 216 or MATH 256 or MATH 286 or MATH 316 or ROB 101); IOE 202; (ENGR 101 or ENGR 101x or ENGR 104 or ENGR 151 or EECS 100 or EECS 183 or CMPTRSC 100 or CMPTRSC 183). Minimum grade requirement of “C-” for enforced prerequisite. (3 credits) Introduction to deterministic optimization models and computational algorithms with emphasis on linear and integer programming; simplex and branch-and-bound algorithms; duality, complementary slackness, and sensitivity analysis. Emphasis on decision making for real-world applications from transportation, healthcare, and other industrial domains.