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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 - 3.135
Median Grade - 3.5
172 total students

Latest grades from Fall 2023

CMSE 382 - Overview

Semester Grade Info
Fall 2021 Average Grade - 2.643
Median Grade - 3.0
Fall 2022 Average Grade - 3.317
Median Grade - 4.0
Fall 2023 Average Grade - 3.347
Median Grade - 4.0

Back to Overview for CMSE 382

Fall 2023

Average Grade - 3.347
Median Grade - 4.0
60 total students

Back to Overview for CMSE 382

Fall 2022

Average Grade - 3.317
Median Grade - 4.0
63 total students

Back to Overview for CMSE 382

Fall 2021

Average Grade - 2.643
Median Grade - 3.0
49 total students


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