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CMSE 381 (Course) - Grade Details

(with breakdown by semester)

Course Title: Fundamentals of Data Science Methods

Course Description: Data science methods, including unsupervised learning and supervised learning, feature extraction, dimension reduction, clustering, regression and classification.

This is an interdepartmental course. Equivalent Course: STT 381


CMSE 381 - All Semesters

Average Grade - 3.238
Median Grade - 3.5
387 total students

Latest grades from Spring 2024

CMSE 381 - Overview

Semester Grade Info
Fall 2021 Average Grade - 3.157
Median Grade - 4.0
Fall 2022 Average Grade - 2.929
Median Grade - 3.5
Fall 2023 Average Grade - 3.130
Median Grade - 3.5
Spring 2021 Average Grade - 3.707
Median Grade - 4.0
Spring 2022 Average Grade - 3.008
Median Grade - 3.5
Spring 2023 Average Grade - 3.509
Median Grade - 3.5
Spring 2024 Average Grade - 3.123
Median Grade - 3.5

Back to Overview for CMSE 381

Spring 2024

Average Grade - 3.123
Median Grade - 3.5
77 total students

Back to Overview for CMSE 381

Fall 2023

Average Grade - 3.130
Median Grade - 3.5
48 total students

Back to Overview for CMSE 381

Spring 2023

Average Grade - 3.509
Median Grade - 3.5
59 total students

Back to Overview for CMSE 381

Fall 2022

Average Grade - 2.929
Median Grade - 3.5
35 total students

Back to Overview for CMSE 381

Spring 2022

Average Grade - 3.008
Median Grade - 3.5
61 total students

Back to Overview for CMSE 381

Fall 2021

Average Grade - 3.157
Median Grade - 4.0
35 total students

Back to Overview for CMSE 381

Spring 2021

Average Grade - 3.707
Median Grade - 4.0
72 total students

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