Cities contain many interconnected networks for infrastructure, human mobility, and relationships. This elective introduces students to concepts and analytical methods for urban network analysis, including conceptualizing, analyzing, and visualizing cities as networks and fostering a critical perspective on how urban networks reflect and reproduce urban inequality. Students will analyze both spatial and social networks and discuss their applications in urban transportation, social justice, and governance. The course will be taught with lectures and hands-on analytical labs. The labs will use Gephi, SNoMaN software, and the R programming language. Prior programming experience is not required but recommended.
*Meets with UT 402-003
Meets
Tue, Thu 10:00-11:30am 1360 A&AB