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.

6437. Computational Methods for Optimization

3.00 credits

Prerequisites: ECE 5101.

Grading Basis: Graded

Computational methods for optimization in static and dynamic problems. Ordinary function minimization, linear programming, gradient methods and conjugate direction search, nonlinear problems with constraints. Extension of search methods to optimization of dynamic systems, dynamic programming.


Last Refreshed: 01-MAR-24 05.20.24.480094 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Spring 2024 14265 Storrs In Person Wilson, James 001 Reg Tu 6:00pm‑9:00pm
14/20 ITE 127 3.00 Graded