CS-5834: Introduction to Urban Computing
Description: Computational approaches to address urban challenges; sensor network testbeds; algorithms for storing, processing, and mining data from urban settings; communicating patterns to decision makers; special focus on epidemiology, sustainability, transportation, social science, urban economics; case studies with applications. Pre: Graduate Standing.
Pathways: N/A
Course Hours: 3 credits
Corequisites: N/A
Crosslist: N/A
Repeatability: N/A
Sections Taught: 15
Average GPA: 3.66 (A-)
Strict A Rate (No A-) : 43.29%
Average Withdrawal Rate: 0.00%
| Narendran Ramakrishnan | 2023 | 67.4% | 31.2% | 1.4% | 0.0% | 0.0% | 0.0% | 3.62 | 11 |
| Bodicherla A Prakash | 2019 | 87.2% | 12.8% | 0.0% | 0.0% | 0.0% | 0.0% | 3.79 | 2 |
| Chandan K Reddy | 2018 | 84.0% | 15.9% | 0.0% | 0.0% | 0.0% | 0.0% | 3.77 | 2 |