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COM SCI 262A

Learning and Reasoning with Bayesian Networks

Course statistics

Predicted GPA
3.56
n = 198 · 4 terms · ± 0.038
A range
56%
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.

  • 6122W
  • 5523W
  • 4924W
  • 3425W
Enrolment by term: 22W 61, 23W 55, 24W 49, 25W 34
Peak 61 Most recent 34 in 25W 4 terms on record

Grade distribution

  • A+ 10 · 5.0%
  • A 58 · 29.1%
  • A- 43 · 21.6%
  • B+ 51 · 25.6%
  • B 34 · 17.1%
  • B- 2 · 1.0%
  • S 1 · 0.5%

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
DARWICHE, ADNAN YOUSSEF 3.57 3.57 198 4 56%

“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