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.

5102. Uncertainty Analysis, Robust Design, and Optimization

3.00 credits

Prerequisites: Recommended preparation: competency in numerical analysis and programming language (MATLAB).

Grading Basis: Graded

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.


Last Refreshed: 01-MAR-24 05.20.24.480094 AM
To view current class enrollment click the refresh icon next to the enrollment numbers.
Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2024 13877 Storrs Online Synchronous Stuber, Matthew 001 Reg Th 5:00pm‑7:00pm
13/30 No Room Required - Online 3.00 Graded