CNIT 48300 — Purdue grade distribution

Applied Machine Learning

Spring 2022 – Spring 2026. 8 distinct course-period sections across 8 academic periods.

Estimated Section GPA
3.70
Student-weighted GPA
3.66
Minimum students (estimated enrollments)
357

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
A231
A-5
AU1
B42
B+52
C4
C+6
D2
D+2
F2
W10

Professors in this course

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