SCHAEFFER, HAYDEN KYLER
130 letter grades across 5 courses
- Average awarded
- 3.66
- weighted by students, not by course
- Students graded
- 130
- Courses
- 5
Teaching in Fall 2026
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| MATH 151A Applied Numerical Methods | 3.45 | 3.43 | 68 | 1 | 57% |
| MATH 277 Foundations of Machine Learning and Artificial Intelligence | 3.90 | 4.00 | 24 | 1 | 100% |
| MATH 266A Applied Ordinary Differential Equations | 3.74 | 3.77 | 19 · small sample | 1 | 74% |
| MATH 269B Advanced Numerical Analysis | 3.86 | 3.94 | 10 · small sample | 1 | 100% |
| MATH 285J Seminar: Applied Mathematics | 3.91 | 4.00 | 9 · small sample | 1 | 100% |
“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.