EC ENGR 219
Large-Scale Data Mining: Models and Algorithms
Course statistics
- Predicted GPA
- 3.87
- n = 897 · 8 terms · ± 0.018
- A range
- 91%
- of letter grades
- Taken P/NP
- 0%
- — of those passed
- D / F / W
- 0.2%
- 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.
- 14322W
- 2622S
- 22423W
- 2123S
- 21924W
- 3724S
- 19625W
- 3225S
Peak 224
Most recent
32
in 25S
8 terms on record
Grade distribution
- A+ 12 · 1.3%
- A 653 · 72.7%
- A- 153 · 17.0%
- B+ 50 · 5.6%
- B 23 · 2.6%
- B- 3 · 0.3%
- C+ 1 · 0.1%
- F 2 · 0.2%
- S 1 · 0.1%
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 |
|---|---|---|---|---|---|
| ROYCHOWDHURY, VWANI P | 3.87 | 3.87 | 897 | 8 | 91% |
| DING, YUANYI | 3.87 | 3.87 | 32 | 1 | 94% |
“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
- 22W 3.85 n=142
- 22S 3.87 n=26
- 23W 3.88 n=224
- 23S 3.77 n=21
- 24W 3.88 n=219
- 24S 3.71 n=37
- 25W 3.89 n=196
- 25S 3.87 n=32