CHANG, KAI-WEI
673 letter grades across 3 courses
- Average awarded
- 3.57
- weighted by students, not by course
- Students graded
- 673
- Courses
- 3
Teaching in Fall 2026
- COM SCI 269 Seminar: Current Topics in Artificial Intelligence: Sem 1 Closed
- COM SCI 298 Research Seminar: Computer Science Sem 3 Open
- COM SCI 597C Preparation for PhD Oral Qualifying Examination Tut 3 Open
- COM SCI 598 Research for and Preparation of MS Thesis Tut 3 Open
- COM SCI 596 Directed Individual or Tutorial Studies Tut 3 Open
- COM SCI 597A Preparation for MS Comprehensive Examination Tut 3 Open
- COM SCI 597B Preparation for PhD Preliminary Examination Tut 3 Open
- COM SCI 599 Research for and Preparation of PhD Dissertation Tut 3 Open
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| COM SCI M146 Introduction to Machine Learning | 3.38 | 3.37 | 415 | 2 | 56% |
| COM SCI 263 Natural Language Processing | 3.84 | 3.85 | 202 | 2 | 89% |
| COM SCI 269 Seminar: Current Topics in Artificial Intelligence | 3.98 | 4.00 | 56 | 2 | 100% |
“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.