DIGGAVI, SUHAS N
675 letter grades across 4 courses
- Average awarded
- 3.43
- weighted by students, not by course
- Students graded
- 675
- Courses
- 4
Teaching in Fall 2026
- EC ENGR C247A Neural Networks and Deep Learning Lec 1 Closed
- EC ENGR C147A Neural Networks and Deep Learning Lec 1 Closed by the department
- EC ENGR 299 MS Project Seminar Sem 12 Open
- EC ENGR 296 Seminar: Research Topics in Electrical Engineering Sem 12 Open
- EC ENGR 599 Research for and Preparation of PhD Dissertation Tut 15 Open
- EC ENGR 596 Directed Individual or Tutorial Studies Tut 16 Open
- EC ENGR 597C Preparation for PhD Oral Qualifying Examination Tut 16 Open
- EC ENGR 597A Preparation for MS Comprehensive Examination Tut 16 Open
- EC ENGR 597B Preparation for PhD Preliminary Examinations Tut 16 Open
- EC ENGR 598 Research for and Preparation of MS Thesis Tut 16 Open
- EC ENGR C247A Neural Networks and Deep Learning Lec 80 Waitlist
- EC ENGR C247A Neural Networks and Deep Learning Lec 91 Closed
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| EC ENGR M146 Introduction to Machine Learning | 3.29 | 3.29 | 391 | 4 | 46% |
| EC ENGR 231A Information Theory | 3.59 | 3.59 | 154 | 3 | 62% |
| EC ENGR 246 Foundations of Statistical Machine Learning | 3.67 | 3.67 | 117 | 4 | 71% |
| COM SCI M146 Introduction to Machine Learning | 3.42 | 3.38 | 13 · small sample | 1 | 62% |
“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.