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MATH 156

Machine Learning

Course statistics

Predicted GPA
3.51
n = 348 · 9 terms · ± 0.029
A range
65%
of letter grades
Taken P/NP
2%
88% of those passed
D / F / W
2.0%
incl. withdrawals

Sections in Fall 2026

Sections offered, with live enrollment and predicted GPA
Section Status Enrolled Seat risk Meets Instructor Predicted GPA
Lec 1 Closed
40 of 40
100% full
fills MWF 11:00am-11:50am Martin, B.
3.51n=348 · course average

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.

  • 3321F
  • 3922W
  • 3822S
  • 4522F
  • 3523W
  • 3224S
  • 3625S
Enrolment by term: 21F 33, 22W 39, 22S 38, 22F 45, 23W 35, 24S 32, 25S 36
Peak 45 Most recent 36 in 25S 7 terms on record

Grade distribution

  • A+ 53 · 14.9%
  • A 134 · 37.6%
  • A- 39 · 11.0%
  • B+ 37 · 10.4%
  • B 30 · 8.4%
  • B- 23 · 6.5%
  • C+ 14 · 3.9%
  • C 9 · 2.5%
  • C- 2 · 0.6%
  • D 1 · 0.3%
  • D- 2 · 0.6%
  • F 4 · 1.1%
  • P 7 · 2.0%
  • NP 1 · 0.3%

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
KASSAB, LARA 3.34 3.32 100 3 55%
JEONG, HALYUN 3.90 3.98 70 2 99%
KRISHNAGOPAL, SANJUKTA 3.29 3.23 43 1 37%
LIAO, CHUNYANG 3.62 3.66 37 1 86%
MENZ, GEORG 3.41 3.38 36 1 42%
MONTUFAR CUARTAS, GUIDO FRANCISCO 3.31 3.23 36 1 44%
NGUYEN, MINH TAN 3.74 3.86 26 1 88%

“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