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.

5323. Convex Optimization with Python

3.00 credits

Prerequisites: Open to students in the Master of Science in Quantitative Economics; others by consent. Not open for credit to students who have passed ECON 4323.

Grading Basis: Graded

Methods of convex optimization, including linear, quadratic, and general constrained and unconstrained problems. Applications, using Python, in economics and finance.


Last Refreshed: 17-JAN-22 05.20.28.185264 AM
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Term Class Number Campus Instruction Mode Instructor Section Session Schedule Enrollment Location Credits Grading Basis Notes
Fall 2021 10807 Storrs In Person Morand, Olivier 001 Reg TuTh 8:00am‑9:15am
6/20 OAK 110 3.00 Graded