CMSE 801 taught by Huan Lei (Course & Instructor) - Grade Details
(with breakdown by semester)
Course Title: Introduction to Computational Modeling and Data Analysis
Course Description: Introduction to computational modeling using a wide variety of application examples. Algorithmic thinking and model building, data visualization, numerical methods, all implemented as programs. Command line interfaces. Scientific software development techniques including modular programming, testing, and version control.
CMSE 801 / Huan Lei - All Semesters
Average Grade - 3.848
Median Grade - 4.0
Latest grades from Spring 2022
CMSE 801 / Huan Lei - Overview
| Semester | Grade Info | Number of Students |
|---|---|---|
| Fall 2020 | Average Grade - 3.812 Median Grade - 4.0 |
33 |
| Spring 2021 | Average Grade - 3.909 Median Grade - 4.0 |
22 |
| Spring 2022 | Average Grade - 3.840 Median Grade - 4.0 |
25 |
Back to Overview for CMSE 801 / Huan Lei
Spring 2022
Average Grade - 3.840
Median Grade - 4.0
Back to Overview for CMSE 801 / Huan Lei
Spring 2021
Average Grade - 3.909
Median Grade - 4.0
Back to Overview for CMSE 801 / Huan Lei
Fall 2020
Average Grade - 3.812
Median Grade - 4.0