MEKA, RAGHU
1,122 letter grades across 3 courses
- Average awarded
- 3.48
- weighted by students, not by course
- Students graded
- 1,122
- Courses
- 3
Teaching in Fall 2026
- COM SCI 597C Preparation for PhD Oral Qualifying Examination Tut 29 Open
- COM SCI 597A Preparation for MS Comprehensive Examination Tut 29 Open
- COM SCI 598 Research for and Preparation of MS Thesis Tut 29 Open
- COM SCI 298 Research Seminar: Computer Science Sem 29 Open
- COM SCI 599 Research for and Preparation of PhD Dissertation Tut 29 Open
- COM SCI 597B Preparation for PhD Preliminary Examination Tut 29 Open
- COM SCI 596 Directed Individual or Tutorial Studies Tut 31 Open
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| COM SCI 181 Theory of Computing | 3.38 | 3.38 | 852 | 4 | 43% |
| COM SCI 260B Algorithmic Machine Learning | 3.76 | 3.76 | 214 | 4 | 72% |
| COM SCI 289A Current Topics in Computer Theory: Cutting-Edge Papers in Complexity-Theoretic Cryptography | 3.86 | 3.87 | 56 | 2 | 86% |
“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.