Course Catalog - 2021-2022

     

CAAM 334 - MATRIX ANALYSIS DATA SCIENCE

Long Title: MATRIX ANALYSIS FOR DATA SCIENCE
Department: Computational & Applied Math
Grade Mode: Standard Letter
Language of Instruction: Taught in English
Course Type: Lecture
Distribution Group: Distribution Group III
Credit Hours: 3
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
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. Recommended Prerequisite(s): (MATH 212 or MATH 222) and (CAAM 210 or COMP 140 or STAT 405) Mutually Exclusive: Cannot register for CAAM 334 if student has credit for CAAM 335.