Course Description
The course covers foundational mathematical concepts fundamental to data science. It builds upon the basic concepts in MA 326 and develops theory for a range of central data science techniques. The course includes the following topics: Optimization algorithms, neural networks, graph-based models and generative learning. These algorithms will be explored computationally using Python and practical data sets.
Spring 2026
Instructors
Meeting Patterns
Classes Start:
January 12, 2026
Classes End:
April 28, 2026
Location:
02229 SAS Hall
Class Days:
M W F
Class Start Time:
10:40am
Class End Time:
11:30am
Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: MA 326