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EC ENGR C147

Neural Networks and Deep Learning

Course statistics

Predicted GPA
3.77
n = 714 · 4 terms · ± 0.020
A range
83%
of letter grades
Taken P/NP
0%
— of those passed
D / F / W
1.0%
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.

  • 7022W
  • 15823W
  • 27724W
  • 20925W
Enrolment by term: 22W 70, 23W 158, 24W 277, 25W 209
Peak 277 Most recent 209 in 25W 4 terms on record

Grade distribution

  • A+ 49 · 6.9%
  • A 452 · 63.3%
  • A- 89 · 12.5%
  • B+ 62 · 8.7%
  • B 29 · 4.1%
  • B- 18 · 2.5%
  • C+ 6 · 0.8%
  • C 1 · 0.1%
  • C- 1 · 0.1%
  • D+ 3 · 0.4%
  • F 4 · 0.6%

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
KAO, JONATHAN CHAU-YAN 3.77 3.77 714 4 83%

“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