STATS 202C
Monte Carlo Methods for Optimization
Course statistics
- Predicted GPA
- 3.80
- n = 88 · 4 terms · ± 0.055
- A range
- 89%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 1.1%
- incl. withdrawals
Sections in Fall 2026
Not offered in Fall 2026.
Enrollment history
Final enrollment per term, averaged across that term's sections. Four years deep, summer excluded. Per-section live curves are on each section page.
- 1922S
- 3423S
- 2224S
- 1325S
Peak 34
Most recent
13
in 25S
4 terms on record
Grade distribution
- A+ 14 · 15.9%
- A 52 · 59.1%
- A- 12 · 13.6%
- B+ 6 · 6.8%
- B 1 · 1.1%
- B- 2 · 2.3%
- F 1 · 1.1%
Grey bars are non-letter outcomes — P/NP, S/U, incompletes. They are excluded from the GPA entirely rather than scored, because counting a P as a 4.0 would be a fabrication.
By instructor
| Instructor | Predicted | Raw | n | Terms | A range |
|---|---|---|---|---|---|
| MCKINNON, KAREN | 3.73 | 3.71 | 54 | 3 | 81% |
| HANDCOCK, MARK S | 3.94 | 4.00 | 34 | 1 | 100% |
“Predicted” is shrunk toward the course average, which is itself shrunk toward the department — so an instructor with a handful of students sits near the course mean rather than topping the list.
By term
- 22S 3.81 n=19
- 23S 4.00 n=34
- 24S 3.61 n=22
- 25S 3.75 n=13