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: SE 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.

No classes found.