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SE 5102: Uncertainty Analysis, Robust Design, and Optimization
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.
- Credits
- 3
- Offered
- Spring 2027
- Campuses
- Storrs
- Requirements
- Recommended preparation: competency in numerical analysis and programming language (MATLAB).
Spring 2027 sections
Taught by Matthew Stuber.
| Section | Type | Meets | Instructor | Campus | Room | Seats |
|---|---|---|---|---|---|---|
| 001 | LEC | 5:00PM - 7:00PM / Th | Matthew Stuber | Storrs | Online | 29 of 30 open |
Seats as of Nov 12, 2026. HuskyScheduler shows live seats when you search.