This course provides an introduction to problems posed by increased 
urbanization; computational approaches to address urban challenges; 
sensor network testbeds; data science approaches to urban computing 
problems; special focus on epidemiology, sustainability, transportation, 
social science, urban economics; case studies with real-world applications. 
This course will enable students to define computational approaches to 
urban problems using the methods of data science, implement algorithms 
to analyze data from urban sensor networks, develop network science 
models to pose and study optimization problems in epidemiology, 
sustainability, transportation.  Students will also be able to develop 
statistical data mining approaches to pose and study design problems in 
social science and urban economics, and communicate patterns inferred from 
data analysis to urban practitioners.