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ECON 147L

Computational Finance and Data Analysis for Financial Engineering Laboratory

Course statistics

Predicted GPA
3.37
n = 78 · 2 terms · ± 0.057
A range
55%
of letter grades
Taken P/NP
4%
67% of those passed
D / F / W
3.8%
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.

  • 5622W
  • 2522S
Enrolment by term: 22W 56, 22S 25
Peak 56 Most recent 25 in 22S 2 terms on record

Grade distribution

  • A+ 7 · 8.6%
  • A 30 · 37.0%
  • A- 6 · 7.4%
  • B+ 16 · 19.8%
  • B 6 · 7.4%
  • B- 4 · 4.9%
  • C+ 3 · 3.7%
  • C 1 · 1.2%
  • C- 2 · 2.5%
  • F 3 · 3.7%
  • P 2 · 2.5%
  • 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 3.38 3.39 78 2 55%

“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