GEOG 414
Programming for Geospatial Data Science II
Course statistics
- Predicted GPA
- 3.91
- n = 75 · 4 terms · ± 0.058
- A range
- 96%
- 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.
- 2522S
- 1523S
- 2524S
- 1125S
Peak 25
Most recent
11
in 25S
4 terms on record
Grade distribution
- A+ 7 · 9.2%
- A 65 · 85.5%
- B 3 · 3.9%
- I 1 · 1.3%
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 |
|---|---|---|---|---|---|
| BURKHART, SIERRA NICOLE | 3.95 | 3.96 | 75 | 4 | 96% |
“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
- 22S 3.96 n=24
- 23S 3.93 n=15
- 24S 3.96 n=25
- 25S 4.00 n=11