PLAN 6122

Urban Analytics

Course Description

Urban analytics draws upon statistics, visualization, and computation to better understand and ultimately to shape cities. This course emphasizes geospatial data, familiarizes students with statistical computing using R, and introduces principles and techniques of machine learning. Students will also learn to explain and to critique the results of visualization, analysis, and predictive modeling. Graduate course will have additional requirements.


  • Bev Wilson

     Rating

    3.00

     Difficulty

    5.00

     GPA

     Sections

    2

    Last Taught

    Fall 2024