CS-5764: Information Visualization
Description: Examine computer-based strategies for interactive visual presentation of information that enable people to explore, discover, and learn from vast quantities of data. Learn to analyze, design, develop, and evaluate new visualizations and tools. Discuss design principles, interaction strategies, information types, and experimental results. Research-oriented course surveys current literature, and group projects contribute to the state of the art. Pre: Graduate standing.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 16
Average GPA: 3.83 (rounds to A-)
Strict A Rate (No A-) : 72.79%
Average Withdrawal Rate: 0.45%
| Nicholas F Polys | 2021 | 85.8% | 14.3% | 0.0% | 0.0% | 0.0% | 0.0% | 3.82 | 2 |
| John E Wenskovitch | 2024 | 97.7% | 1.5% | 0.0% | 0.0% | 0.8% | 0.0% | 3.96 | 3 |
| Reza Jafari | 2024 | 71.3% | 25.5% | 0.5% | 0.5% | 0.5% | 1.8% | 3.65 | 4 |
| Christopher L North | 2024 | 91.6% | 8.4% | 0.0% | 0.0% | 0.0% | 0.0% | 3.89 | 5 |
| Yaling Yang | 2022 | 87.5% | 12.5% | 0.0% | 0.0% | 0.0% | 0.0% | 3.82 | 1 |
| Sara Hooshangi | 2020 | 94.5% | 5.6% | 0.0% | 0.0% | 0.0% | 0.0% | 3.88 | 1 |