CMSE 820 (Course) - Grade Details
(with breakdown by instructor)
Course Title: Mathematical Foundations of Data Science
Course Description: Fundamental mathematical principles of data science that underlie the algorithms, processes, and methods of data-centric thinking, and tools based on these principles.
CMSE 820 - All Instructors
Average Grade - 3.650
Median Grade - 4.0
Latest grades from Spring 2025
CMSE 820 - Overview
| Instructor | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| Jianliang Qian | Average Grade - 3.852 Median Grade - 4.0 |
44 | Spring 2025 | |
| Matthew John Hirn | Average Grade - 3.620 Median Grade - 4.0 |
25 | Spring 2017 | |
| Yang Yang | Average Grade - 3.592 Median Grade - 3.5 |
66 | Spring 2023 | |
| Yuying Xie | Average Grade - 3.586 Median Grade - 3.5 |
71 | Fall 2019 |
Jianliang Qian
Average Grade - 3.852
Median Grade - 4.0
Latest grades from Spring 2025
See detailed grade info for this instructor
Matthew John Hirn
Average Grade - 3.620
Median Grade - 4.0
Latest grades from Spring 2017
See detailed grade info for this instructor
Yang Yang
Average Grade - 3.592
Median Grade - 3.5
Latest grades from Spring 2023
See detailed grade info for this instructor
Yuying Xie
Average Grade - 3.586
Median Grade - 3.5
Latest grades from Fall 2019
See detailed grade info for this instructor