Rachel Lyn-Salmon Frisbie (Instructor) - Grade Details
(with breakdown by course)
Rachel Lyn-Salmon Frisbie - All Courses
Average Grade - 3.433
Median Grade - 4.0
Latest grades from Spring 2024
Rachel Lyn-Salmon Frisbie - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| CMSE 201 | Average Grade - 3.374 Median Grade - 4.0 |
1470 | Fall 2023 | |
| CMSE 202 | Average Grade - 3.795 Median Grade - 4.0 |
194 | Spring 2023 | |
| CMSE 402 | Average Grade - 3.573 Median Grade - 4.0 |
137 | Spring 2024 |
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CMSE 201 - Computational Modeling and Data Analysis I
Computational modeling using a wide variety of applications examples. Algorithmic thinking, dataset manipulation, model building, data visualization, and numerical methods all implemented as programs.
Average Grade - 3.374
Median Grade - 4.0
Latest grades from Fall 2023
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CMSE 202 - Computational Modeling and Data Analysis II
Standard methods and tools for computational modeling and data analysis using simulation techniques, data mining, and machine learning.
Average Grade - 3.795
Median Grade - 4.0
Latest grades from Spring 2023
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CMSE 402 - Data Visualization Principles and Techniques
Core principles, methods, and techniques of effective data visualization. Visualization toolkits. Vector and scalar data. Multivariate visualization. Relationship between data analysis and visualization.
Average Grade - 3.573
Median Grade - 4.0
Latest grades from Spring 2024
See detailed grade info for this course