Course Schedule and Catalog
Course Schedule - Spring Semester 2026
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
CMOR 437 001 (CRN: 24498)
OPT FOUND OF DATA SCIENCE
Long Title: OPTIMIZATION FOUNDATIONS OF DATA SCIENCE
Department: Comp Appl Math Operations Rsch
Instructor: Ma, Shiqian
Meeting: 2:30PM - 3:45PM TR (12-JAN-2026 - 24-APR-2026)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
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: 30
Section Enrolled: 13
Total Cross-list Max Enrollment: 60
Total Cross-list Enrolled: 16
Enrollment data as of: 25-NOV-2025 1:13PM
Final Exam: Scheduled Final Exam-OTR Room
Description: Optimization methods for machine learning. Topics included are as follows: basics of optimization theory, gradient-based optimization (e.g., gradient descent, stochastic gradient descents, AdaGrad, Adam, RMSProp, etc.), linear regression and its extensions (e.g., ridge regression and lasso), least-squares classification and logistic regression, Newton methods in machine learning, basics of constrained optimization, Lagrangian relaxation and duality, support vector machines, and optimization in neural networks. Cross-list: INDE 517. Recommended Prerequisite(s): CMOR 360