GU, QUANQUAN
501 letter grades across 3 courses
- Average awarded
- 3.71
- weighted by students, not by course
- Students graded
- 501
- Courses
- 3
Teaching in Fall 2026
- COM SCI 260 Machine Learning Algorithms Lec 1 Waitlist
- COM SCI 298 Research Seminar: Computer Science Sem 14 Open
- COM SCI 598 Research for and Preparation of MS Thesis Tut 16 Open
- COM SCI 597B Preparation for PhD Preliminary Examination Tut 16 Open
- COM SCI 597C Preparation for PhD Oral Qualifying Examination Tut 16 Open
- COM SCI 596 Directed Individual or Tutorial Studies Tut 16 Open
- COM SCI 597A Preparation for MS Comprehensive Examination Tut 16 Open
- COM SCI 599 Research for and Preparation of PhD Dissertation Tut 16 Open
- COM SCI 260 Machine Learning Algorithms Lec 91 Open
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| COM SCI 161 Fundamentals of Artificial Intelligence | 3.63 | 3.64 | 307 | 2 | 71% |
| COM SCI 260 Machine Learning Algorithms | 3.77 | 3.77 | 165 | 2 | 81% |
| COM SCI 269 Seminar: Current Topics in Artificial Intelligence | 3.97 | 3.99 | 29 | 2 | 100% |
| COM SCI 201 Computer Science Seminar | P/NP | 0 · small sample | 6 | - |
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department, so a course taught once to twelve students sits near the course mean rather than at whatever those twelve happened to get.