DSC 301: Matrix Methods Data Analysis

Matrix methods with emphasis on applied data analysis. Matrix norms; LU, QR and SV decomposition of matrices; least squares problems, orthogonal vectors and matrices; applications to data analysis.

Course information

3.00 credits
Section 01: Undergraduate Lecture
Instructor(s): 

Location: Liberal Arts 218

Class: #11173

Tue, Jan 21, 2020 - Wed, Apr 29, 2020

Status: 

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