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COM SCI 145

Introduction to Data Mining

Course statistics

Predicted GPA
3.38
n = 192 · 4 terms · ± 0.038
A range
55%
of letter grades
Taken P/NP
0%
— of those passed
D / F / W
3.1%
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.

  • 3421F
  • 4822S
  • 4725W
  • 6325S
Enrolment by term: 21F 34, 22S 48, 25W 47, 25S 63
Peak 63 Most recent 63 in 25S 4 terms on record

Grade distribution

  • A+ 18 · 9.4%
  • A 52 · 27.1%
  • A- 36 · 18.8%
  • B+ 33 · 17.2%
  • B 25 · 13.0%
  • B- 7 · 3.6%
  • C+ 9 · 4.7%
  • C 5 · 2.6%
  • C- 1 · 0.5%
  • F 6 · 3.1%

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
SUN, YIZHOU 3.38 3.38 97 2 58%
WANG, WEI 3.38 3.37 95 2 53%

“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