STATS 425
Large Language Models in Text Mining
Course statistics
- Predicted GPA
- 3.78
- n = 56 · 3 terms · ± 0.066
- A range
- 91%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 1.8%
- 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.
- 2322W
- 1623S
- 1725S
Peak 23
Most recent
17
in 25S
3 terms on record
Grade distribution
- A+ 30 · 53.6%
- A 14 · 25.0%
- A- 7 · 12.5%
- B+ 1 · 1.8%
- B 2 · 3.6%
- B- 1 · 1.8%
- F 1 · 1.8%
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 |
|---|---|---|---|---|---|
| ALMOHALWAS, AKRAM M | 3.81 | 3.82 | 56 | 3 | 91% |
“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
- 22W 3.82 n=23
- 23S 3.98 n=16
- 25S 3.67 n=17