ECON 430
Applied Econometrics with Python
Course statistics
- Predicted GPA
- 3.30
- n = 512 · 4 terms · ± 0.024
- A range
- 45%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 1.8%
- incl. withdrawals
Sections in Fall 2026
| Section | Status | Enrolled | Seat risk | Meets | Instructor | Predicted GPA |
|---|---|---|---|---|---|---|
| Lec 82 | Open |
0 of 101
0% full
|
seats likely | MW 9:30am-10:45am | Rojas, R.R. | 3.30n=512 · this instructor |
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.
- 5021F
- 6322F
- 6823F
- 7724F
Peak 77
Most recent
77
in 24F
4 terms on record
Grade distribution
- A+ 47 · 9.1%
- A 83 · 16.1%
- A- 101 · 19.6%
- B+ 109 · 21.1%
- B 67 · 13.0%
- B- 55 · 10.7%
- C+ 23 · 4.5%
- C 11 · 2.1%
- C- 7 · 1.4%
- F 9 · 1.7%
- I 4 · 0.8%
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 |
|---|---|---|---|---|---|
| ROJAS, RANDALL R | 3.30 | 3.30 | 512 | 4 | 45% |
“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
- 21F 3.18 n=100
- 22F 3.53 n=122
- 23F 3.12 n=136
- 24F 3.35 n=154