SANKARARAMAN, SRIRAM
1,388 letter grades across 8 courses
- Average awarded
- 3.51
- weighted by students, not by course
- Students graded
- 1,388
- Courses
- 8
Teaching in Fall 2026
- HUM GEN 236A Advanced Human Genetics A: Molecular Aspects Lec 1 Closed
- COM SCI 188 Special Courses in Computer Science: Introduction to Machine Learning for Computer Scientists Lec 2 Open
- HUM GEN 597 Preparation for MS Comprehensive Examination or PhD Qualifying Examinations Tut 20 Open
- HUM GEN 599 PhD Dissertation Research and Writing Tut 29 Open
- BIOINFO 599 PhD Dissertation Research and Writing Tut 34 Open
- COM SCI 298 Research Seminar: Computer Science Sem 41 Open
- COM SCI 599 Research for and Preparation of PhD Dissertation Tut 43 Open
- COM SCI 597B Preparation for PhD Preliminary Examination Tut 43 Open
- COM SCI 598 Research for and Preparation of MS Thesis Tut 43 Open
- COM SCI 597C Preparation for PhD Oral Qualifying Examination Tut 43 Open
- COM SCI 597A Preparation for MS Comprehensive Examination Tut 43 Open
- COM SCI 596 Directed Individual or Tutorial Studies Tut 44 Open
- HUM GEN 596 Directed Individual Study and Research Tut 47 Open
- BIOINFO 596 Directed Individual Study or Research in Bioinformatics Tut 50 Open
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| COM SCI M146 Introduction to Machine Learning | 3.42 | 3.42 | 1,067 | 4 | 54% |
| COM SCI M226 Machine Learning in Bioinformatics | 3.85 | 3.86 | 90 | 2 | 87% |
| COM SCI CM124 Machine Learning Applications in Genetics | 3.69 | 3.68 | 87 | 1 | 63% |
| DS BMED 205 Machine Learning Applications in Biomedicine | 3.88 | 3.88 | 47 | 2 | 94% |
| COM SCI M229S Seminar: Current Topics in Bioinformatics | 3.92 | 3.99 | 29 | 2 | 100% |
| COM SCI CM224 Machine Learning Applications in Genetics | 3.76 | 3.78 | 27 | 1 | 78% |
| HUM GEN 236A Advanced Human Genetics A: Molecular Aspects | 3.89 | 3.90 | 25 | 2 | 96% |
| BIOINFO M224 Machine Learning Applications in Genetics | 3.79 | 3.71 | 16 · small sample | 1 | 69% |
“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.