URBNST 0518 - SMART CITIES: FRONTIERS IN URBAN ANALYTICS & BIG DATA

Minimum Credits: 3
Maximum Credits: 3
The growing importance of big data and urban analytics are contributing to cities becoming 'smarter'. Smart city planning requires creating data structures and methods frameworks to gather, store, and analyze information that can inform planning practices and policymaking. This course will outline the frontiers in urban data science, including the ethical and analytical considerations that underpin the smart city paradigm. Students will gain practical experience with analyzing, modelling, and interpreting quantitative and qualitative data using R and RStudio. The course is designed to accommodate students with diverse backgrounds, and while no prerequisites are required some familiarity with statistical methods and coding is beneficial. The course emphasizes a geographical perspective in addressing urban topics (including infrastructure, transportation, and sustainability), empowering students to contribute to future urban planning practices and policymaking.
Academic Career: Undergraduate
Course Component: Seminar
Grade Component: Letter Grade

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