CS-4664: Data-Centric Computing Capstone
Description: Advanced, project-based course on deriving valuable insights from real-world data collected from a variety of sources. Team-based end-to-end projects explore the entire data science workflow: problem statement, formulating the research questions, collecting preparing and cleaning data, alternating between analyzing data and interpreting results, and synthesizing results into a written report and an interactive executable codebase.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 5
Average GPA: 3.78 (A)
Strict A Rate (No A-) : 67.30%
Average Withdrawal Rate: 2.86%
| Anuj Karpatne | 2022 | 100.0% | 0.0% | 0.0% | 0.0% | 0.0% | 0.0% | 4.00 | 1 |
| Taejoong T Chung | 2023 | 71.4% | 14.3% | 0.0% | 0.0% | 0.0% | 14.3% | 3.78 | 1 |
| Bert Huang | 2024 | 87.6% | 12.5% | 0.0% | 0.0% | 0.0% | 0.0% | 3.78 | 1 |
| Hoda M Eldardiry | 2023 | 76.3% | 15.8% | 7.9% | 0.0% | 0.0% | 0.0% | 3.57 | 1 |
| Staff Elhamod | 2022 | 88.9% | 5.6% | 5.6% | 0.0% | 0.0% | 0.0% | 3.77 | 1 |