MATH 3190 - Fundamentals of Data Science

Institution:

Southern Utah University

Subject:

Mathematics

Description:

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 a working knowledge of a programming language - Prerequisite Min. Grade: C

Credits:

3.00

Credit Hours:

Prerequisites:

( MATH 2140 O MATH 3150 O MATH 3700 ) ( A MATH 2170 O MATH 2270 )

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.suu.edu/

Phone Number:

(435) 586-7700

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

General Education

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