MONTUFAR CUARTAS, GUIDO FRANCISCO
434 letter grades across 6 courses
- Average awarded
- 3.28
- weighted by students, not by course
- Students graded
- 434
- Courses
- 6
Teaching in Fall 2026
- MATH 277 Foundations of Machine Learning and Artificial Intelligence Lec 1 Open
- STATS 100A Introduction to Probability Lec 3 Open
- STATS 296 Participating Seminar: Statistics Sem 12 Open
- STATS 599 PhD Dissertation Research Tut 13 Open
- STATS 598 MS Thesis Research Tut 14 Open
- STATS 596 Directed Individual Study or Research Tut 14 Open
- MATH 596 Directed Individual Study or Research Tut 22 Open
- MATH 599 Research in Mathematics Tut 23 Open
- STATS 498 MAS Thesis Research Tut 84 Open
Grade record by course
| Course | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| STATS 100A Introduction to Probability | 3.13 | 3.10 | 212 | 3 | 42% |
| MATH 273A Optimization and Calculus of Variations: Basic Optimization Theory | 3.81 | 3.82 | 81 | 4 | 90% |
| STATS 200A Applied Probability | 3.52 | 3.46 | 60 | 2 | 52% |
| MATH 156 Machine Learning | 3.32 | 3.23 | 36 | 1 | 44% |
| MATH 164 Optimization | 2.79 | 2.61 | 35 | 1 | 17% |
| STATS 231B Methods of Machine Learning | 3.90 | 3.93 | 10 · small sample | 1 | 90% |
| 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.