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.

5707. Discrete Optimization

3.00 credits

Prerequisites: Prerequisites: Open to graduate students in the CSE program, others with permission. Recommended preparation: CSE3500 and MATH2210. (RG5910)

Grading Basis: Graded

Methods and techniques used to solve combinatorial optimization problems with examples drawn from industry such as scheduling, resource allocation, and routing. Features a mix of theory and practice using state-of-the-art tools to solve classic problems.

No classes found.