HSIEH, CHO-JUI
806 letter grades across 3 courses
- Average awarded
- 3.50
- weighted by students, not by course
- Students graded
- 806
- Courses
- 3
Teaching in Fall 2026
- COM SCI 597B Preparation for PhD Preliminary Examination Tut 17 Open
- COM SCI 598 Research for and Preparation of MS Thesis Tut 17 Open
- COM SCI 298 Research Seminar: Computer Science Sem 17 Open
- COM SCI 597C Preparation for PhD Oral Qualifying Examination Tut 17 Open
- COM SCI 597A Preparation for MS Comprehensive Examination Tut 17 Open
- COM SCI 596 Directed Individual or Tutorial Studies Tut 18 Open
- COM SCI 599 Research for and Preparation of PhD Dissertation Tut 18 Open
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| COM SCI 180 Introduction to Algorithms and Complexity | 3.28 | 3.28 | 544 | 2 | 47% |
| COM SCI 260C Deep Learning | 3.95 | 3.96 | 182 | 2 | 97% |
| COM SCI 269 Seminar: Current Topics in Artificial Intelligence | 3.99 | 4.00 | 80 | 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.