Course Schedule - Spring Semester 2020

     

CAAM 334 002 (CRN: 22594)

MATRIX ANALYSIS DATA SCIENCE

Long Title: MATRIX ANALYSIS FOR DATA SCIENCE
Department: Computational & Applied Math
Instructor: Sershen, Cheryl L.
Meeting: 9:00AM - 9:50AM MWF DCH 1064 (13-JAN-2020 - 24-APR-2020) 
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
Prerequisites: MATH 212 OR (MATH 222 AND CAAM 210) OR COMP 140 OR STAT 405
Section Max Enrollment: 40
Section Enrolled: 20
Enrollment data as of: 28-JUL-2021 12:18AM
 
Additional Fees: None
 
Final Exam: Scheduled Final Exam-OTR Room
Final Exam Time:
4-MAY-2020  
9:00AM - 12:00PM M 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. Mutually Exclusive: Cannot register for CAAM 334 if student has credit for CAAM 335.