KAO, JONATHAN CHAU-YAN
3,212 letter grades across 7 courses
- Average awarded
- 3.66
- weighted by students, not by course
- Students graded
- 3,212
- Courses
- 7
Teaching in Fall 2026
- EC ENGR 296 Seminar: Research Topics in Electrical Engineering Sem 21 Open
- EC ENGR 299 MS Project Seminar Sem 23 Open
- EC ENGR 599 Research for and Preparation of PhD Dissertation Tut 28 Open
- EC ENGR 598 Research for and Preparation of MS Thesis Tut 29 Open
- EC ENGR 597A Preparation for MS Comprehensive Examination Tut 29 Open
- EC ENGR 597C Preparation for PhD Oral Qualifying Examination Tut 29 Open
- EC ENGR 597B Preparation for PhD Preliminary Examinations Tut 29 Open
- EC ENGR 596 Directed Individual or Tutorial Studies Tut 29 Open
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| EC ENGR 102 Systems and Signals | 3.24 | 3.24 | 811 | 4 | 55% |
| EC ENGR C247 Neural Networks and Deep Learning | 3.79 | 3.79 | 797 | 4 | 84% |
| EC ENGR C147 Neural Networks and Deep Learning | 3.77 | 3.77 | 714 | 4 | 83% |
| EC ENGR 239AS Special Topics in Signals and Systems: Lecture 1 | 3.99 | 3.99 | 531 | 2 | 99% |
| EC ENGR C143A Neural Signal Processing | 3.37 | 3.37 | 164 | 2 | 65% |
| EC ENGR C243A Neural Signal Processing | 3.73 | 3.73 | 112 | 2 | 86% |
| EC ENGR 189 Advanced Honors Seminars | 3.97 | 3.98 | 83 | 4 | 99% |
| EC ENGR 597A Preparation for MS Comprehensive Examination | 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.