PHYSICS GUIDED MACHINE LEARNING & DATA DRIVEN MODELING FEM
Introduction to physics guided machine learning and data driven modeling from a rigorous finite element analysis and system dynamics (& optimization) perspective. Programming needed will be introduced in the course. The course involves series of assignments involving programming. Project work will be assigned at the end of the semester in lieu of the final exam. Cannot be taken concurrently with CEVE/ MECH 527 . Prerequisites CEVE/ MECH 311 . Cross-list: MECH 427 . Mutually Exclusive: Cannot register for CEVE 427 if student has credit for CEVE 527 .
Prerequisites & course information
Short Title: PHY GUIDED ML-DATA DRIVEN FEM Department: Civil & Environmental Engr Grade Mode: Standard Letter Course Type: Lecture Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): CEVE 311 or MECH 311 or MECH 315 Course URL: Satishnagarajaiah.rice.edu
Sources
- Course catalogue ↗2026–2027