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A&O SCI C204

Introduction to Machine Learning for Physical Sciences

Course statistics

Predicted GPA
3.83
n = 85 · 3 terms · ± 0.055
A range
88%
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.

  • 4221F
  • 2723F
  • 2224F
Enrolment by term: 21F 42, 23F 27, 24F 22
Peak 42 Most recent 22 in 24F 3 terms on record

Grade distribution

  • A+ 21 · 22.8%
  • A 43 · 46.7%
  • A- 11 · 12.0%
  • B+ 7 · 7.6%
  • B 2 · 2.2%
  • C+ 1 · 1.1%
  • S 5 · 5.4%
  • U 1 · 1.1%
  • I 1 · 1.1%

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
LOZINSKI, ALEXANDER RICHARD 3.88 3.90 46 2 93%
BORTNIK, JACOB 3.82 3.81 39 1 82%

“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