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 517 001 (CRN: 24497)
SCIENTIFIC MACHINE LEARNING
Long Title: SCIENTIFIC MACHINE LEARNING
Department: Comp Appl Math Operations Rsch
Instructor: Riviere, Beatrice
Meeting: 10:50AM - 12:05PM 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):
Graduate
Section Max Enrollment: 30
Section Enrolled: 11
Total Cross-list Max Enrollment: 40
Total Cross-list Enrolled: 20
Enrollment data as of: 25-NOV-2025 9:25AM
Final Exam: GR Course-Dept Schedules 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 417. Mutually Exclusive: Cannot register for CMOR 517 if student has credit for CMOR 417.