Multidisciplinary Design Optimization

4 credits

Introduction to engineering design optimization involving multidisciplinary models. Topics covered include local sensitivity analysis, gradient-based optimization, gradient-free optimization, surrogate models, discrete optimization, and multidisciplinary design optimization architectures. Students will apply these methods to a practical design problem of their choosing through a course project. Prerequisites: graduate standing.