CMSE 382 (Course) - Grade Details
(with breakdown by instructor)
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 Instructors
Average Grade - 3.267
Median Grade - 3.5
Latest grades from Spring 2025
CMSE 382 - Overview
| Instructor | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| Ekaterina A Rapinchuk | Average Grade - 3.354 Median Grade - 4.0 |
137 | Fall 2024 | |
| Ming Yan | Average Grade - 2.643 Median Grade - 3.0 |
49 | Fall 2021 | |
| Saiprasad Ravishankar | Average Grade - 3.768 Median Grade - 4.0 |
28 | Spring 2025 | |
| Sarah Beth Percival | Average Grade - 3.347 Median Grade - 4.0 |
60 | Fall 2023 |
Ekaterina A Rapinchuk
Average Grade - 3.354
Median Grade - 4.0
Latest grades from Fall 2024
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Ming Yan
Average Grade - 2.643
Median Grade - 3.0
Latest grades from Fall 2021
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Saiprasad Ravishankar
Average Grade - 3.768
Median Grade - 4.0
Latest grades from Spring 2025
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Sarah Beth Percival
Average Grade - 3.347
Median Grade - 4.0
Latest grades from Fall 2023
See detailed grade info for this instructor