PROJECTS IN DATA-ENABLED PHYSICS THROUGH DATA SCIENCE AND MACHINE LEARNING
Project-based course where teams of students explore physics through the lens of data. Students will learn about data analysis and best practices. Students without prior programming experience should contact the instructor. Graduate/Undergraduate Equivalency: PHYS 549 . Recommended Prerequisite(s): COMP 130 or COMP 140 or CAAM 210 Mutually Exclusive: Cannot register for PHYS 449 if student has credit for PHYS 549 .
Prerequisites & course information
Short Title: DATA-ENABLED PHYSICS Department: Physics and Astronomy Grade Mode: Standard Letter Course Type: Lecture/Laboratory Credit Hours: 3 Restrictions: Enrollment is limited to Undergraduate, Undergraduate Professional or Visiting Undergraduate level students. Course Level: Undergraduate Upper-Level Prerequisite(s): PHYS 202
Sources
- Course catalogue ↗2026–2027