PHYS 247: INTRODUCTION TO APPLIED DATA SCIENCE
University of California, Riverside
4 Units, Lecture, 3 hours; discussion, 1 hour. Prerequisite(s): PHYS 247 online section: enrollment in the Online-Master-in-Science in Engineering program. PHYS 247 in-person section: graduate standing; or consent of instructor. Designed to provide all the necessary background knowledge to follow other data science courses. Covers basic principles of machine learning (ML) and Python Programming and introduces deep learning. Topics include ML algorithms, practical examples, and case studies for application of ML and deep learning to different disciplines. May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.
Average GPA: 3.65
Grade distribution records: 92 students across 5 terms.
Grade distribution
| Grade | Students | Percent |
|---|---|---|
| A+ | 25 | 27.2% |
| A | 26 | 28.3% |
| A- | 14 | 15.2% |
| B+ | 7 | 7.6% |
| B | 8 | 8.7% |
| B- | 8 | 8.7% |
| C+ | 1 | 1.1% |
| C | 1 | 1.1% |
Based on 92 student grade records across 5 terms and 1 professor.
Instructors
- Bahram Mobasher 92 students, Average GPA 3.65