PENG, NANYUN
858 letter grades across 5 courses
- Average awarded
- 3.71
- weighted by students, not by course
- Students graded
- 858
- Courses
- 5
Teaching in Fall 2026
- COM SCI 298 Research Seminar: Computer Science Sem 35 Open
- COM SCI 597C Preparation for PhD Oral Qualifying Examination Tut 37 Open
- COM SCI 597A Preparation for MS Comprehensive Examination Tut 37 Open
- COM SCI 599 Research for and Preparation of PhD Dissertation Tut 37 Open
- COM SCI 597B Preparation for PhD Preliminary Examination Tut 37 Open
- COM SCI 598 Research for and Preparation of MS Thesis Tut 37 Open
- COM SCI 596 Directed Individual or Tutorial Studies Tut 38 Open
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| COM SCI 162 Natural Language Processing | 3.69 | 3.69 | 329 | 3 | 74% |
| COM SCI 263 Natural Language Processing | 3.77 | 3.76 | 254 | 3 | 80% |
| COM SCI 188 Special Courses in Computer Science | 3.58 | 3.58 | 158 | 2 | 63% |
| COM SCI 97 Variable Topics in Computer Science | 3.62 | 3.60 | 67 | 1 | 66% |
| COM SCI 269 Seminar: Current Topics in Artificial Intelligence | 3.98 | 3.99 | 50 | 3 | 100% |
| COM SCI 596 Directed Individual or Tutorial Studies | S/U | 0 · small sample | 1 | - |
“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.