Computational Methods for Engineered Systems Design

3 credits · College of Engineering catalogue

Advisory Prerequisite: Programming skills (e.g., AEROSP 350) and/or systems design (e.g., AEROSP 481 or 483) and/or statistical methods (e.g., CEE 373) or permission of instructor. Enforced Prerequisite: None. (3 credits) Examines computational and statistical methods for the design of complex engineered systems. Topics include design of experiments, surrogate modeling and surrogate-based optimization, sensitivity analysis, and mixed-variable design space exploration. Aerospace examples highlight advanced aircraft and propulsion system concepts, including methods for co-optimization of aircraft, propulsion, and energy/power management.