HANDCOCK, MARK S
341 letter grades across 6 courses
- Average awarded
- 3.98
- weighted by students, not by course
- Students graded
- 341
- Courses
- 6
Teaching in Fall 2026
- STATS C216 Applied Bayesian Social Statistics Lec 1 Open
- STATS 102C Introduction to Monte Carlo Methods Lec 1 Closed
- STATS C116 Applied Bayesian Social Statistics Lec 1 Closed
- STATS 296 Participating Seminar: Statistics Sem 5 Open
- STATS 598 MS Thesis Research Tut 6 Open
- STATS 599 PhD Dissertation Research Tut 6 Open
- STATS 596 Directed Individual Study or Research Tut 6 Open
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| STATS 184 Societal Impacts of Data | 3.97 | 3.98 | 160 | 3 | 98% |
| STATS C116 Applied Bayesian Social Statistics | 3.97 | 3.99 | 71 | 3 | 99% |
| STATS 202C Monte Carlo Methods for Optimization | 3.93 | 4.00 | 34 | 1 | 100% |
| STATS 202B Matrix Algebra and Optimization | 3.90 | 3.98 | 29 | 1 | 97% |
| STATS 218 Statistical Analysis of Networks | 3.94 | 4.00 | 26 | 1 | 100% |
| STATS C216 Applied Bayesian Social Statistics | 3.92 | 3.99 | 21 | 2 | 100% |
| STATS 290 Current Literature in Statistics | S/U | 0 · small sample | 2 | - |
“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.