MIRZASOLEIMAN, BAHARAN
1,038 letter grades across 3 courses
- Average awarded
- 3.41
- weighted by students, not by course
- Students graded
- 1,038
- Courses
- 3
Teaching in Fall 2026
- COM SCI 260D Large-Scale Machine Learning Lec 1 Closed
- COM SCI 298 Research Seminar: Computer Science Sem 27 Open
- COM SCI 596 Directed Individual or Tutorial Studies Tut 29 Open
- COM SCI 597C Preparation for PhD Oral Qualifying Examination Tut 31 Open
- COM SCI 597B Preparation for PhD Preliminary Examination Tut 31 Open
- COM SCI 597A Preparation for MS Comprehensive Examination Tut 31 Open
- COM SCI 599 Research for and Preparation of PhD Dissertation Tut 31 Open
- COM SCI 598 Research for and Preparation of MS Thesis Tut 31 Open
- COM SCI 260D Large-Scale Machine Learning Lec 80 Closed
- COM SCI 260D Large-Scale Machine Learning Lec 91 Waitlist
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| COM SCI M148 Introduction to Data Science | 3.33 | 3.33 | 708 | 4 | 55% |
| COM SCI 260D Large-Scale Machine Learning | 3.49 | 3.49 | 256 | 3 | 58% |
| COM SCI 269 Seminar: Current Topics in Artificial Intelligence | 3.95 | 3.95 | 74 | 5 | 96% |
| COM SCI 201 Computer Science Seminar | S/U | 0 · small sample | 3 | - |
“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.