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5339. Uncertainty Analysis, Robust Design, and Optimization
3.00 credits
Prerequisites: None.
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).
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