IE 49000 — Purdue grade distribution

Intro Machine Learning & Apps

Fall 2016 – Spring 2026. 27 distinct course-period sections across 16 academic periods.

Estimated Section GPA
3.54
Student-weighted GPA
3.54
Minimum students (estimated enrollments)
851

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
A327
A-95
A+149
AU5
B48
B-20
B+94
C34
C-9
C+15
D8
D-2
D+4
F14
P5
W22

Professors in this course

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