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CMSE 382 (Course) - Grade Details
(with breakdown by semester)
Course Title: Optimization Methods in Data Science
Course Description: Concepts, mathematical foundations, methods, and algorithms of optimization in data modeling, all applied to modeling real-world data.
CMSE 382 - All Semesters
Average Grade - 3.267
Median Grade - 3.5
Latest grades from Spring 2025
CMSE 382 - Overview
| Semester | Grade Info | Number of Students |
|---|---|---|
| Spring 2025 | Average Grade - 3.768 Median Grade - 4.0 |
28 |
| Fall 2024 | Average Grade - 3.385 Median Grade - 4.0 |
74 |
| Fall 2023 | Average Grade - 3.347 Median Grade - 4.0 |
60 |
| Fall 2022 | Average Grade - 3.317 Median Grade - 4.0 |
63 |
| Fall 2021 | Average Grade - 2.643 Median Grade - 3.0 |
49 |
Spring 2025
Average Grade - 3.768
Median Grade - 4.0