You are looking at Winter 2026.
That term is over, so these are last term's numbers rather than seats you can take.
Dibs has read 195 of the
3,464 courses on its list for this term. Terms
nobody is enrolling in are swept one a night in rotation, so a course with nothing here
may simply not have been reached yet.
Back to Fall 2026
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 Winter 2026
Nothing in Winter 2026. This instructor has no sections on the schedule dibs has read, which is not the same as never teaching the course again: the record below is from earlier terms.
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.