Course Schedule - Spring Semester 2022

     

CAAM 334 001 (CRN: 22054)

MATRIX ANALYSIS DATA SCIENCE

Long Title: MATRIX ANALYSIS FOR DATA SCIENCE
Department: Computational & Applied Math
Instructor: Bencomo, Mario J.
Meeting: 10:00AM - 10:50AM MWF DCH 1075 (10-JAN-2022 - 22-APR-2022) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Distribution Group: Distribution Group III
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
 
Restrictions:
Must be enrolled in one of the following Level(s):
Undergraduate Professional
Visiting Undergraduate
Undergraduate
Section Max Enrollment: 40
Section Enrolled: 18
Enrollment data as of: 26-JUN-2022 7:00AM
 
Additional Fees: None
 
Final Exam: Take-Home Exam
Final Exam Time:
27-APR-2022  
2:00PM - 5:00PM W TBA TBA
 
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.