C&EE C111
Machine Learning and Artificial Intelligence for Civil Engineering
Course statistics
- Predicted GPA
- 3.56
- n = 33 · 2 terms · ± 0.081
- A range
- 67%
- 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.
- 1222F
- 2125W
Peak 21
Most recent
21
in 25W
2 terms on record
Grade distribution
- A+ 7 · 21.2%
- A 14 · 42.4%
- A- 1 · 3.0%
- B+ 3 · 9.1%
- B 2 · 6.1%
- B- 3 · 9.1%
- C 2 · 6.1%
- C- 1 · 3.0%
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 |
|---|---|---|---|---|---|
| LOPEZ DROGUETT, ENRIQUE ANDRES | 3.61 | 3.63 | 21 | 1 | 71% |
| BAUCHY, MATHIEU | 3.50 | 3.43 | 12 small sample | 1 | 58% |
“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
- 22F 3.43 n=12
- 25W 3.63 n=21