ENGR 1ML
Introduction to Engineering Design: Machine Learning
Course statistics
- Predicted GPA
- 3.97
- n = 47 · 3 terms · ± 0.071
- A range
- 100%
- 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.
- 1924F
- 1625W
- 1225S
Peak 19
Most recent
12
in 25S
3 terms on record
Grade distribution
- A+ 4 · 8.5%
- A 43 · 91.5%
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 |
|---|---|---|---|---|---|
| SCHMIDT, JACOB J | 3.99 | 4.00 | 47 | 3 | 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
- 24F 4.00 n=19
- 25W 4.00 n=16
- 25S 4.00 n=12