MATH 2170 - Applied Linear Algebra

Institution:

Southern Utah University

Subject:

Mathematics

Description:

Introduction to applied linear algebra with emphasis on applications. Vectors, inner products, linear independence, orthonormal sets, Gram-Schmidt algorithm, applications to document analysis. Clustering and the k-means algorithm. Matrix algebra, left and right inverses, QR factorization, linear dynamical systems. Least-squares and data fitting. Additional applications may include regularization, cross-validation, constrained least-squares, time-series prediction, and portfolio optimization. Students will use Python throughout this course. (Fall) [Graded (Standard Letter)] Prerequisite(s): (MATH 1100 or MATH 1210 or ECON 2500) and (CSIS 1030 or CSIS 1300 or CS 1040 or CS 1400 or CS 1410 or instructor approval) - Prerequisite Min. Grade: C Registration Restriction(s): None

Credits:

3.00

Credit Hours:

Prerequisites:

( MATH 1100 O MATH 1210 O ECON 2500 ) ( A CSIS 1030 O CSIS 1300 O CS 1040 O CS 1400 O CS 1410 )

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

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