MATH 3190 - Fundamentals of Data Science

3 Credit(s) | $6 Fee

This class will be an introduction to the mathematics and algorithms underlying the analytic techniques of data science. Topics covered will include regression and cross validation, gradient descent, dimension reduction, clustering and classification. Database management will also be discussed. Students will use a programming language and GitHub throughout this course. (Spring - Even Years) [Graded (Standard Letter)]

Prerequisite(s): (MATH 2140 or MATH 3150 or MATH 3700) and (MATH 2170 or MATH 2270) and ANLY 4100 and a working knowledge of a programming language - Prerequisite Min. Grade: C
Registration Restriction(s): None