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
Latest grades from Spring 2024
CMSE 381 - Overview
| Semester | Grade Info | Number of Students | |
|---|---|---|---|
| Fall 2021 | Average Grade - 3.157 Median Grade - 4.0 |
35 | |
| Fall 2022 | Average Grade - 2.929 Median Grade - 3.5 |
35 | |
| Fall 2023 | Average Grade - 3.130 Median Grade - 3.5 |
48 | |
| Spring 2021 | Average Grade - 3.707 Median Grade - 4.0 |
72 | |
| Spring 2022 | Average Grade - 3.008 Median Grade - 3.5 |
61 | |
| Spring 2023 | Average Grade - 3.509 Median Grade - 3.5 |
59 | |
| Spring 2024 | Average Grade - 3.123 Median Grade - 3.5 |
77 | |
Spring 2024
Average Grade - 3.123
Median Grade - 3.5
Spring 2023
Average Grade - 3.509
Median Grade - 3.5
Spring 2022
Average Grade - 3.008
Median Grade - 3.5
Spring 2021
Average Grade - 3.707
Median Grade - 4.0