Advanced topics in optimization such as linear and nonlinear programming, mixed-integer linear and nonlinear programming, deterministic and stochastic global optimization, and interval global optimization. Example applications drawn from engineering.
Instructor: Matthew Stuber Class Number: 24531 Time: Room:
Chemical Engineering Numerical Analysis
Mathematical and numerical methods for solving engineering problems; description and computer modeling of physical and chemical processes with ordinary and partial differential equations; treatment and interpretation of engineering data.
Instructor: Matthew Stuber Class Number: 5553 Time: Room:
Uncertainty Analysis, Robust Design, and Optimization
Provides students with a thorough understanding of platform-based and model-driven methods for uncertainty analysis and robust design of cyber-physical systems. Topics include modeling of uncertainties, sensitivity analysis, robust design analysis methodologies (DFSS, IDOV), and critical parameter management (CPM).
Instructor: Matthew Stuber Class Number: Time: Room: