CMSE 201 taught by Rachel Lyn-Salmon Frisbie (Course & Instructor) - Grade Details
(with breakdown by semester)
Course Title: Computational Modeling and Data Analysis I
Course Description: Computational modeling using a wide variety of applications examples. Algorithmic thinking, dataset manipulation, model building, data visualization, and numerical methods all implemented as programs.
CMSE 201 / Rachel Lyn-Salmon Frisbie - All Semesters
Average Grade - 3.374
Median Grade - 4.0
Latest grades from Fall 2023
CMSE 201 / Rachel Lyn-Salmon Frisbie - Overview
| Semester | Grade Info | Number of Students |
|---|---|---|
| Fall 2021 | Average Grade - 3.244 Median Grade - 4.0 |
322 |
| Fall 2022 | Average Grade - 3.398 Median Grade - 4.0 |
368 |
| Fall 2023 | Average Grade - 3.602 Median Grade - 4.0 |
388 |
| Spring 2021 | Average Grade - 3.756 Median Grade - 4.0 |
54 |
| Spring 2022 | Average Grade - 3.163 Median Grade - 4.0 |
338 |
Back to Overview for CMSE 201 / Rachel Lyn-Salmon Frisbie
Fall 2023
Average Grade - 3.602
Median Grade - 4.0
Back to Overview for CMSE 201 / Rachel Lyn-Salmon Frisbie
Fall 2022
Average Grade - 3.398
Median Grade - 4.0
Back to Overview for CMSE 201 / Rachel Lyn-Salmon Frisbie
Spring 2022
Average Grade - 3.163
Median Grade - 4.0
Back to Overview for CMSE 201 / Rachel Lyn-Salmon Frisbie
Fall 2021
Average Grade - 3.244
Median Grade - 4.0
Back to Overview for CMSE 201 / Rachel Lyn-Salmon Frisbie
Spring 2021
Average Grade - 3.756
Median Grade - 4.0