Spring 2025
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5339. Uncertainty Analysis, Robust Design, and Optimization
3.00 credits
Prerequisites:
Grading Basis: Graded
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).
Last Refreshed: 20-DEC-24 05.20.17.275138 AM
| Enrollment Data | Section | Class Number | Notes | Instructor | Enrollment | Session | Instruction Mode |
|---|---|---|---|---|---|---|---|
| 1253 10110 1 001 | 001 | 10110 | Stuber, Matthew | 4/30 | Reg | Online Synchronous |