Professor record CSCI

Rajesh Godasu

University of North Dakota

55 grades4 sections
Grades: 2024–2025
Flunk Score—
Not enough comparison data

A reliable within-course grade or school-relative evaluation comparison is needed to score DATA 532.

DATA 532 · Applied Machine LearningDATA 532 · all instructors & syllabi

Grade record

DATA 532 · 4 sections
Average GPA
3.67
Applied Machine Learning
Across 55 grades in DATA 532
93%
A or B
of 55 grades
8.9%
D, F or withdrew
of 56 enrolled
87.3%
A
48
5.5%
B
3
1.8%
D
1
5.5%
F
3
1.8%
W
1
A–F are shares of 55 letter grades · W is a share of all 56 enrolled
No other professor is on record for DATA 532, so there is no course average to measure against. i

How the averages compare

Against other CSCI classes, and against the university

  • 3.12CSCI courses
  • 3.33School average
  • 3.67DATA 532
Average GPA · Zoomed GPA scale
Lower averageHigher average
4 sections · 2 terms · Spring 2024 – Spring 2025
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