Back|CSC 4850Machine Learning

CSC 4850

CSC

Machine Learning

31 sections · 856 total students

Avg GPA3.09+0.02 vs dept avg (3.07)
DWF rate19.0%Dept avg: 16.3%
In person87%of sections
Online0%of sections
In person 87%+Online 0%+Other / hybrid 13%= 100%

Grade distribution

Aggregated across all 31 sections · 856 students

Expected grade distribution

Predicted based on historical data · weighted toward recent semesters

Based on 31 sections and 856 students through Spring 2026, students in this course most commonly earn a B with a predicted average GPA of 3.08.

Low confidence
in person:GPA 3.04·27 sections

Predictions are computed using exponentially-weighted historical data, giving more weight to recent semesters. This is not a guarantee of your personal grade outcome.

GPA trend over time

Average GPA per semester · dashed line = department average

Recent sections

TermInstructorStudentsAvg GPADWF %Format
Spring 2026383.145.3%in person
Spring 2026303.146.7%in person
Fall 2025342.3617.7%in person
Fall 2025533.317.6%in person
Spring 2025383.5813.2%unknown
Spring 2025132.5815.4%in person
Spring 202563.670.0%in person
Spring 2025243.0416.7%in person
Summer 2025272.7122.2%in person
Fall 2024372.8018.9%in person
Fall 2024273.2814.8%in person
Spring 2024253.2948.0%in person
Spring 202463.830.0%in person
Spring 2024213.0628.6%in person
Summer 2024313.3212.9%in person
Fall 2023203.405.0%in person
Fall 2023283.3510.7%in person
Spring 2023342.9317.7%in person
Spring 2023202.2770.0%in person
Summer 202392.8633.3%in person

Data from official GSU grade distribution records · 2005–2026 · Aggregate only — no individual student records. GPA uses a 4.30 scale. DWF rate = % of students with D, WF, or F. Learn more