MA 542
Convex Optimization Methods in Data Science
Section: 001

Course Description

Convex optimization methods and their applications in various areas of data science including, but not limited to, signal and image processing, inverse problems, statistical data analysis, machine learning and classification. Basic theory, algorithm design and concrete applications.

Spring 2026

Meeting Patterns

Classes Start:
January 12, 2026
Classes End:
April 28, 2026
Location:
00208 Patterson Hall
Class Days:
T H
Class Start Time:
10:15am
Class End Time:
11:30am

Class Type:
Lecture
Credits:
3.00
Restrictions:
None