CMDA-1634: Discovering Computational Modeling and Data Analytics
Description: An introduction to the practice and profession of Computational Modeling and Data Analytics. Acquaints students with foundational computational tools, solving problems with modeling and data, visualization, ethical considerations in data science, professional opportunities in the field, and advising resources at Virginia Tech.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 3
Average GPA: 3.81 (rounds to A-)
Strict A Rate (No A-) : 87.81%
Average Withdrawal Rate: 0.57%
| Eric Ufferman | 2024 | 93.2% | 3.1% | 2.0% | 0.5% | 0.5% | 0.9% | 3.89 | 2 |
| Sean J Reiter | 2022 | 86.0% | 4.4% | 4.4% | 0.9% | 4.4% | 0.0% | 3.65 | 1 |