Graduate Course Descriptions

The following directory lists the graduate courses which the University expects to offer, although the University in no way guarantees that all such courses will be offered in any given academic year, and reserves the right to alter the list if conditions warrant. Click on the links below for a list of courses in that subject area. You may then click “View Classes” to see scheduled classes for individual courses.

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).

Last Refreshed: 01-MAR-24 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2024 4722 Storrs Online Synchronous Stuber, Matthew 001 Reg Th 5:00pm‑7:00pm
10/30 No Room Required - Online 3.00 Graded