KADAMBI, ACHUTA
1,106 letter grades across 6 courses
- Average awarded
- 3.63
- weighted by students, not by course
- Students graded
- 1,106
- Courses
- 6
Teaching in Fall 2026
- EC ENGR 102 Systems and Signals Lec 1 Closed
- EC ENGR 19 Artificial Intelligence for Future CEOs Sem 1 Open
- EC ENGR 296 Seminar: Research Topics in Electrical Engineering Sem 16 Open
- COM SCI 599 Research for and Preparation of PhD Dissertation Tut 17 Open
- COM SCI 597B Preparation for PhD Preliminary Examination Tut 19 Open
- COM SCI 298 Research Seminar: Computer Science Sem 19 Open
- COM SCI 597A Preparation for MS Comprehensive Examination Tut 19 Open
- COM SCI 598 Research for and Preparation of MS Thesis Tut 19 Open
- COM SCI 597C Preparation for PhD Oral Qualifying Examination Tut 19 Open
- COM SCI 596 Directed Individual or Tutorial Studies Tut 19 Open
- EC ENGR 299 MS Project Seminar Sem 22 Open
- EC ENGR 599 Research for and Preparation of PhD Dissertation Tut 27 Open
- EC ENGR 597C Preparation for PhD Oral Qualifying Examination Tut 28 Open
- EC ENGR 596 Directed Individual or Tutorial Studies Tut 28 Open
- EC ENGR 597A Preparation for MS Comprehensive Examination Tut 28 Open
- EC ENGR 597B Preparation for PhD Preliminary Examinations Tut 28 Open
- EC ENGR 598 Research for and Preparation of MS Thesis Tut 28 Open
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| EC ENGR 102 Systems and Signals | 3.42 | 3.42 | 322 | 3 | 66% |
| EC ENGR 113 Digital Signal Processing | 3.41 | 3.41 | 246 | 2 | 57% |
| EC ENGR 239AS Special Topics in Signals and Systems: Lecture 1 | 3.89 | 3.89 | 179 | 3 | 94% |
| EC ENGR 149 Foundations of Computer Vision | 3.86 | 3.86 | 178 | 2 | 92% |
| EC ENGR 188 Special Courses in Electrical Engineering | 3.81 | 3.81 | 159 | 2 | 89% |
| EC ENGR 189 Advanced Honors Seminars | 3.97 | 4.00 | 22 | 1 | 100% |
| EC ENGR 597A Preparation for MS Comprehensive Examination | S/U | 0 · small sample | 1 | - | |
| COM SCI 88SC Technology of X-Files: Aliens and Paranormal | P/NP | 0 · small sample | 1 | - |
“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.