You are looking at Fall 2025.
That term is over, so these are last term's numbers rather than seats you can take.
Dibs has read 527 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
WU, YINGNIAN
1,140 letter grades across 10 courses
- Average awarded
- 3.94
- weighted by students, not by course
- Students graded
- 1,140
- Courses
- 10
Teaching in Fall 2025
Nothing in Fall 2025. 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 100A Introduction to Probability | 3.92 | 3.94 | 513 | 5 | 94% |
| STATS M231A Pattern Recognition and Machine Learning | 3.98 | 3.98 | 142 | 4 | 99% |
| STATS 413 Machine Learning | 3.96 | 3.96 | 134 | 4 | 99% |
| STATS 596 Directed Individual Study or Research | 3.99 | 4.00 | 103 | 8 | 100% |
| STATS 200A Applied Probability | 3.94 | 3.98 | 73 | 2 | 100% |
| STATS 102C Introduction to Monte Carlo Methods | 3.68 | 3.78 | 67 | 1 | 88% |
| STATS C161 Introduction to Machine Learning and Artificial Intelligence | 3.93 | 3.96 | 33 | 1 | 100% |
| STATS 231B Methods of Machine Learning | 3.96 | 4.00 | 29 | 1 | 100% |
| STATS C180 Introduction to Bayesian Statistics | 3.70 | 3.72 | 27 | 1 | 85% |
| STATS C236 Introduction to Bayesian Statistics | 3.91 | 3.98 | 19 · small sample | 1 | 100% |
| STATS 285 Seminar: Computing for Statistics | S/U | 0 · small sample | 2 | - | |
| STATS 296 Participating Seminar: Statistics | S/U | 0 · small sample | 4 | - |
“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.