Justin Earl Gambrell - Overview

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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
782 total students

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
203 total students

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 - 3.818
Median Grade - 4.0
96 total students

Latest grades from Spring 2026

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STT 180 - Introduction to Data Science

Pervasiveness and utility of data in modern society. Obtaining and managing data. Summarizing and visualizing data. Ethical issues in data science. Communication with data. Fundamentals of probability and statistics.

Average Grade - 3.547
Median Grade - 4.0
118 total students

Latest grades from Spring 2026

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