MATH5645

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MATH5645 - Mathematical Methods for Data Science - 3 - Credits

Mathematics & StatisticsCollege of Arts & Sciences

Course Overview Course Learning Objectives

Course Prefix

MATH

Course Number

5645

Department

Mathematics & Statistics

Cross-Listed Courses

Dual-Listed Courses

Course Title

Mathematical Methods for Data Science

Grade Mode

Standard Letter

Repeat Status

Course Description

This course provides an in-depth overview of important mathematical principles and methods that underlie state-of-the art data science, statistical, and machine learning methods with a focus on linear algebra and multivariate calculus and their data science applications. Additional coursework is required for those enrolled in the graduate-level course.

Credit Hours

Credit Hours Min

Other Enrollment Recommendations

An introduction to statistics (such as course) and/or probability (such as course) are strongly recommended. course and course are also recommended. Experience programming in Python, R, or Matlab is essential for success in the course.

Prerequisite

Required

Complete at least 1 of the following Courses: