Course Description
The course covers foundational mathematical concepts fundamental to data science and data-driven mathematical modeling. The course includes the following topics: basics of machine learning, unconstrained optimization, neural networks and overfitting, parameter estimation and sensitivity analysis for mathematical models, and an introduction to topological data analysis. Programming familiarity (MATLAB) is recommended.
Fall 2024
Instructors
Meeting Patterns
Classes Start:
August 19, 2024
Classes End:
December 3, 2024
Location:
00102 David Clark Labs
Class Days:
T H
Class Start Time:
10:15am
Class End Time:
11:30am
Class Type:
Lecture
Credits:
3.00
Restrictions:
Prerequisite: MA 242 and (MA 303 or MA 305 or MA 405)
