CMSE 381 (Course) - Grade Details
(with breakdown by instructor)
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 Instructors
Average Grade - 3.275
Median Grade - 3.5
Latest grades from Spring 2025
CMSE 381 - Overview
| Instructor | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| Elizabeth Munch | Average Grade - 3.128 Median Grade - 3.5 |
202 | Fall 2024 | |
| Lianzhang Bao | Average Grade - 3.362 Median Grade - 3.5 |
87 | Spring 2025 | |
| Mengsen Zhang | Average Grade - 3.362 Median Grade - 3.5 |
87 | Spring 2025 | |
| Rongrong Wang | Average Grade - 3.123 Median Grade - 3.5 |
77 | Spring 2024 | |
| Yuying Xie | Average Grade - 3.503 Median Grade - 3.5 |
166 | Spring 2023 |
Elizabeth Munch
Average Grade - 3.128
Median Grade - 3.5
Latest grades from Fall 2024
See detailed grade info for this instructor
Lianzhang Bao
Average Grade - 3.362
Median Grade - 3.5
Latest grades from Spring 2025
See detailed grade info for this instructor
Mengsen Zhang
Average Grade - 3.362
Median Grade - 3.5
Latest grades from Spring 2025
See detailed grade info for this instructor
Rongrong Wang
Average Grade - 3.123
Median Grade - 3.5
Latest grades from Spring 2024
See detailed grade info for this instructor
Yuying Xie
Average Grade - 3.503
Median Grade - 3.5
Latest grades from Spring 2023
See detailed grade info for this instructor