CSC 4851
CSCIntroduction to Deep Learning
6 sections · 119 total students
Avg GPA3.09+0.02 vs dept avg (3.07)
DWF rate18.8%Dept avg: 16.3%
In person100%of sections
Online0%of sections
Grade distribution
Aggregated across all 6 sections · 119 students
Expected grade distribution
Predicted based on historical data · weighted toward recent semesters
Based on 6 sections and 119 students through Spring 2026, students in this course most commonly earn a B with a predicted average GPA of 3.06.
Low confidencein person:GPA 3.06·6 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
| Term | Instructor | Students | Avg GPA | DWF % | Format |
|---|---|---|---|---|---|
| Spring 2026 | — | 28 | 3.16 | 10.7% | in person |
| Fall 2025 | — | 12 | 2.82 | 25.0% | in person |
| Spring 2025 | — | 29 | 3.14 | 0.0% | in person |
| Spring 2024 | — | 18 | 3.29 | 22.2% | in person |
| Spring 2023 | — | 23 | 3.16 | 21.7% | in person |
| Spring 2022 | — | 9 | 2.50 | 33.3% | 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