CMSE 381 - MSU Grades

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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 - 3.222
Median Grade - 3.5
711 total students

Latest grades from Spring 2026

CMSE 381 - Overview

Instructor	Grade Info	Number of Students	Latest Grade Data
Elizabeth Munch	Average Grade - 3.128 Median Grade - 3.5	202	Fall 2024
Firas Khasawneh	Average Grade - 3.018 Median Grade - 3.0	84	Spring 2026
Guanqun Cao	Average Grade - 3.116 Median Grade - 3.5	95	Fall 2025
Lianzhang Bao	Average Grade - 3.193 Median Grade - 3.5	171	Spring 2026

Mengsen Zhang	Average Grade - 3.234 Median Grade - 3.5	182	Fall 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