CS-3634: Computer Science Foundations for Computational Modeling and Data Analytics
Description: Survey of computer science concepts and tools that enable computational science and data analytics. Data structure design and implementation. Analysis of data structure and algorithm performance. Introduction to high-performance computer architectures and parallel computation. Basic operating systems concepts that influence the performance of large-scale computational modeling and data analytics. Software development and software tools for computational modeling. Not for CS major credit.
Pathways: N/A
Course Hours: 3 credits
Sections Taught: 4
Average GPA: 2.99 (B)
Strict A Rate (No A-) : 41.26%
Average Withdrawal Rate: 3.13%
| Johann Rudi | 2023 | 40.0% | 20.0% | 0.0% | 20.0% | 20.0% | 0.0% | 2.40 | 1 |
| Timothy Warburton | 2018 | 60.0% | 20.0% | 20.0% | 0.0% | 0.0% | 0.0% | 3.34 | 1 |
| Jason R Wilson | 2024 | 80.0% | 0.0% | 20.0% | 0.0% | 0.0% | 0.0% | 3.60 | 1 |
| Eric A Martin | 2019 | 25.0% | 37.5% | 12.5% | 0.0% | 12.5% | 12.5% | 2.63 | 1 |