CMSE 201 taught by Justin Earl Gambrell (Course & Instructor) - Grade Details
(with breakdown by semester)
Course Title: Computational Modeling and Data Analysis I
Course Description: Computational modeling using a wide variety of applications examples. Algorithmic thinking, dataset manipulation, model building, data visualization, and numerical methods all implemented as programs.
CMSE 201 / Justin Earl Gambrell - All Semesters
Average Grade - 3.520
Median Grade - 4.0
Latest grades from Fall 2025
CMSE 201 / Justin Earl Gambrell - Overview
| Semester | Grade Info | Number of Students |
|---|---|---|
| Fall 2025 | Average Grade - 3.430 Median Grade - 4.0 |
441 |
| Fall 2024 | Average Grade - 3.637 Median Grade - 4.0 |
341 |
Back to Overview for CMSE 201 / Justin Earl Gambrell
Fall 2025
Average Grade - 3.430
Median Grade - 4.0
Back to Overview for CMSE 201 / Justin Earl Gambrell
Fall 2024
Average Grade - 3.637
Median Grade - 4.0