STATS 102C
Introduction to Monte Carlo Methods
Course statistics
- Predicted GPA
- 3.30
- n = 968 · 7 terms · ± 0.017
- A range
- 55%
- of letter grades
- Taken P/NP
- 0%
- 100% of those passed
- D / F / W
- 4.9%
- 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.
- 6121F
- 6222F
- 6423F
- 8024F
Peak 80
Most recent
80
in 24F
4 terms on record
Grade distribution
- A+ 67 · 6.9%
- A 340 · 34.9%
- A- 125 · 12.8%
- B+ 104 · 10.7%
- B 98 · 10.1%
- B- 70 · 7.2%
- C+ 57 · 5.9%
- C 39 · 4.0%
- C- 21 · 2.2%
- D 24 · 2.5%
- D- 6 · 0.6%
- F 17 · 1.7%
- P 3 · 0.3%
- I 3 · 0.3%
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 |
|---|---|---|---|---|---|
| WU, GUANI | 2.99 | 2.99 | 530 | 5 | 38% |
| CHEN, MILES SATORI | 3.62 | 3.64 | 223 | 3 | 73% |
| ZHOU, QING | 3.55 | 3.59 | 77 | 2 | 69% |
| TSIANG, MICHAEL | 3.66 | 3.73 | 71 | 1 | 79% |
| WU, YINGNIAN | 3.70 | 3.78 | 67 | 1 | 88% |
“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
- 21F 3.45 n=180
- 221 3.78 n=67
- 22F 2.94 n=184
- 231 3.73 n=71
- 23F 3.21 n=192
- 241 3.04 n=35
- 24F 3.30 n=239