CMSE 381 taught by Elizabeth Munch (Course & Instructor) - 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 / Elizabeth Munch - All Semesters
Average Grade - 3.028
Median Grade - 3.5
Latest grades from Fall 2023
CMSE 381 / Elizabeth Munch - Overview
| Semester | Grade Info | Number of Students |
|---|---|---|
| Fall 2022 | Average Grade - 2.929 Median Grade - 3.5 |
35 |
| Fall 2023 | Average Grade - 3.130 Median Grade - 3.5 |
48 |
| Spring 2022 | Average Grade - 3.008 Median Grade - 3.5 |
61 |
Back to Overview for CMSE 381 / Elizabeth Munch
Fall 2023
Average Grade - 3.130
Median Grade - 3.5
Back to Overview for CMSE 381 / Elizabeth Munch
Fall 2022
Average Grade - 2.929
Median Grade - 3.5
Back to Overview for CMSE 381 / Elizabeth Munch
Spring 2022
Average Grade - 3.008
Median Grade - 3.5