STATS C161
Introduction to Machine Learning and Artificial Intelligence
Course statistics
- Predicted GPA
- 3.86
- n = 96 · 4 terms · ± 0.052
- A range
- 93%
- of letter grades
- Taken P/NP
- 2%
- 50% of those passed
- D / F / W
- 1.0%
- 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.
- 3422S
- 2723W
- 2424W
- 1324F
Peak 34
Most recent
13
in 24F
4 terms on record
Grade distribution
- A+ 27 · 27.6%
- A 54 · 55.1%
- A- 8 · 8.2%
- B+ 4 · 4.1%
- B 2 · 2.0%
- D 1 · 1.0%
- P 1 · 1.0%
- NP 1 · 1.0%
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 |
|---|---|---|---|---|---|
| AMINI, ARASH ALI | 3.83 | 3.82 | 50 | 2 | 86% |
| WU, YINGNIAN | 3.93 | 3.96 | 33 | 1 | 100% |
| CHENG, GUANG | 3.93 | 4.00 | 13 small sample | 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 3.96 n=33
- 23W 3.78 n=26
- 24W 3.86 n=24
- 24F 4.00 n=13