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
This course provides students with a thorough understanding of mathematical optimization and uncertainty analysis for the robust design of cyber-physical systems. Topics include optimization theory and practice, uncertainty modeling, sensitivity analysis, and formal and classical model-based robust design methodologies.
Instructor: Matthew Stuber Class Number: Time: Room: