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

Also offered as: CHEG 5102

3.00 credits

Prerequisites: Department consent. 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: 09-APR-21 05.20.09.932032 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2021 9125 Storrs Distance Learning Stuber, Matthew 001 Reg Th 5:00pm‑7:00pm
7/15 No Room Required - Online 3.00 Graded : This course is offered online to working professionals in the graduate MEng and Certificate programs. There are no classroom meetings, but students and instructor meet online each week through WebEx at the scheduled class time. For questions, contact UCONN SoE Professional Education engr-profed@uconn.edu.