Course Catalog - 2018-2019

     

CAAM 334 - MATRIX ANALYSIS DATA SCIENCE

Long Title: MATRIX ANALYSIS FOR DATA SCIENCE
Department: Computational & Applied Math
Grade Mode: Standard Letter
Course Type: Lecture
Credit Hours: 3
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Prerequisite(s): MATH 212 OR (MATH 222 AND CAAM 210) OR COMP 140 OR STAT 405
Description: Solution of linear systems and linear least squares problems. Eigenvalue problem and singular value decomposition. Introduction to gradient based methods. Applications to data science. Mutually Exclusive: Cannot register for CAAM 334 if student has credit for CAAM 335.