11.S187 - Applied Data Science for Cities

MIT Subject Page

This course introduces computational thinking and applied data science practice related to urban domain. Students learn principles, tools, and techniques of using data for urban problem-solving through hands-on exercises in Python. The course also introduces unique aspects of urban data computing, such as heterogeneous data typology, real-world applications in cities, and socio-technical considerations involving ethics, fairness, and privacy. Students learn how to use data computation for public good by building applied data science projects relevant to urban problem solving or/and computational social science.