COM SCI 260B
Algorithmic Machine Learning
Course statistics
- Predicted GPA
- 3.75
- n = 214 · 4 terms · ± 0.036
- A range
- 72%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 0.0%
- 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
- 2623S
- 2624S
- 2925S
Peak 34
Most recent
29
in 25S
4 terms on record
Grade distribution
- A+ 29 · 13.2%
- A 105 · 47.7%
- A- 20 · 9.1%
- B+ 53 · 24.1%
- B 6 · 2.7%
- C+ 1 · 0.5%
- S 5 · 2.3%
- U 1 · 0.5%
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 |
|---|---|---|---|---|---|
| MEKA, RAGHU | 3.76 | 3.76 | 214 | 4 | 72% |
“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 3.72 n=33
- 23S 3.67 n=48
- 24S 3.83 n=77
- 25S 3.77 n=56