ECON 147
Computational Finance and Data Analysis for Financial Engineering
Course statistics
- Predicted GPA
- 3.33
- n = 79 · 2 terms · ± 0.057
- A range
- 54%
- of letter grades
- Taken P/NP
- 5%
- 75% of those passed
- D / F / W
- 5.1%
- 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.
- 5722W
- 2622S
Peak 57
Most recent
26
in 22S
2 terms on record
Grade distribution
- A+ 7 · 8.4%
- A 30 · 36.1%
- A- 6 · 7.2%
- B+ 16 · 19.3%
- B 6 · 7.2%
- B- 4 · 4.8%
- C+ 3 · 3.6%
- C 1 · 1.2%
- C- 2 · 2.4%
- F 4 · 4.8%
- P 3 · 3.6%
- NP 1 · 1.2%
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 |
|---|---|---|---|---|---|
| LIAO, ZHIPENG | 3.34 | 3.34 | 79 | 2 | 54% |
“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 3.24 n=53
- 22S 3.55 n=26