CS 37300 — Purdue grade distribution

Data Mining & Machine Learning

Fall 2017 – Spring 2026. 28 distinct course-period sections across 18 academic periods.

Estimated Section GPA
3.13
Student-weighted GPA
3.10
Minimum students (estimated enrollments)
3,700

Historical grades are estimates, not a measure of teaching quality or a prediction of future outcomes. GPA excludes withdrawals and other non-letter grades. Section GPA averages section-row GPAs equally; student-weighted GPA pools letter-graded enrollment. Read the data source and methodology.

Grade distribution

GradeEstimated count
A591
A-542
A+244
AU8
B485
B-321
B+554
C194
C-60
C+240
D49
D-15
D+33
E1
F109
I6
N11
P70
W167

Professors in this course

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