Justin Earl Gambrell (Instructor) - Grade Details
(with breakdown by course)
Justin Earl Gambrell - All Courses
Average Grade - 3.528
Median Grade - 4.0
Latest grades from Fall 2025
Justin Earl Gambrell - Overview
| Course Number | Grade Info | Number of Students | Latest Grade Data | Breakdown |
|---|---|---|---|---|
| CMSE 201 | Average Grade - 3.520 Median Grade - 4.0 |
782 | Fall 2025 | |
| CMSE 202 | Average Grade - 3.530 Median Grade - 4.0 |
203 | Spring 2025 | |
| CMSE 495 | Average Grade - 3.760 Median Grade - 4.0 |
25 | Fall 2025 |
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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 - 3.520
Median Grade - 4.0
Latest grades from Fall 2025
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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 - 3.530
Median Grade - 4.0
Latest grades from Spring 2025
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CMSE 495 - Experiential Learning in Data Science (W)
Team-based data science projects working with real-world data in collaboration with client/company sponsors. Practice in software development, data collection, curation, modeling, scientific visualization and presentation of results. Students may be required to sign a non-disclosure agreement (“NDA”) or an assignment of intellectual property rights (“IP Assignment”) to work with some project sponsors.
Average Grade - 3.760
Median Grade - 4.0
Latest grades from Fall 2025
See detailed grade info for this course