DEP5113 Introduction to Urban Data Science

Introduction to Urban Data Science is the core course that introduces the basics of urban data science combining statistical and spatial analytics to equip students with quantitative research methods in urban studies and planning. With the lectures, discussions, and hands-on exercises during lab sessions, students learn how to conduct and interpret spatial and statistical research. The class covers data handling, descriptive statistics, hypothesis testing, linear regression, multiple regression, spatial autocorrelation, and segregation measures. The class is organized in two parts: a lecture on the theory of the methods and their use cases in planning and policy evaluation, and a lab session where students practice tutorials in class.