CMSE 382 taught by Ekaterina A Rapinchuk (Course & Instructor) - 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 / Ekaterina A Rapinchuk - All Semesters
Average Grade - 3.354
Median Grade - 4.0
Latest grades from Fall 2024
CMSE 382 / Ekaterina A Rapinchuk - Overview
| Semester | Grade Info | Number of Students |
|---|---|---|
| Fall 2022 | Average Grade - 3.317 Median Grade - 4.0 |
63 |
| Fall 2024 | Average Grade - 3.385 Median Grade - 4.0 |
74 |
Back to Overview for CMSE 382 / Ekaterina A Rapinchuk
Fall 2024
Average Grade - 3.385
Median Grade - 4.0
Back to Overview for CMSE 382 / Ekaterina A Rapinchuk
Fall 2022
Average Grade - 3.317
Median Grade - 4.0