Course Schedule and Catalog
Course Schedule - Spring Semester 2027
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 417 001 (CRN: 24067)
SCIENTIFIC MACHINE LEARNING
Long Title: SCIENTIFIC MACHINE LEARNING
Department: Comp Appl Math Operations Rsch
Instructor: Riviere, Beatrice
Meeting: 10:50AM - 12:05PM TR (11-JAN-2027 - 23-APR-2027)
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
Prerequisites: CMOR 304 AND (CMOR 303 OR CMOR 302)
Section Max Enrollment: 20
Section Enrolled: 0
Total Cross-list Max Enrollment: 40
Total Cross-list Enrolled: 0
Enrollment data as of: 2-NOV-2026 9:58AM
Final Exam: Take-Home Exam
Description: Introduction to scientific machine learning and its application to physical problems. Mathematical and numerical models of physical systems are integrated with machine learning approaches to develop physics-based or numerics-based data-driven methods for the solution of science and engineering problems. Cross-list: CMOR 517. Mutually Exclusive: Cannot register for CMOR 417 if student has credit for CMOR 517.