C&EE C211
Machine Learning and Artificial Intelligence for Civil Engineering
Course statistics
- Predicted GPA
- 3.81
- n = 46 · 2 terms · ± 0.071
- A range
- 89%
- 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.
- 2322F
- 2325W
Peak 23
Most recent
23
in 25W
2 terms on record
Grade distribution
- A+ 22 · 47.8%
- A 16 · 34.8%
- A- 3 · 6.5%
- B+ 2 · 4.3%
- B 2 · 4.3%
- C- 1 · 2.2%
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 |
|---|---|---|---|---|---|
| BAUCHY, MATHIEU | 3.80 | 3.80 | 23 | 1 | 87% |
| LOPEZ DROGUETT, ENRIQUE ANDRES | 3.88 | 3.91 | 23 | 1 | 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
- 22F 3.80 n=23
- 25W 3.91 n=23