Analytic Methods for Urban Planning

This course introduces students to selected quantitative and qualitative methods for thinking about urban planning problems. The course is divided into four sections. In the first section, students are introduced to the general principles of research design, including problem definition, hypothesis testing, data collection, and sampling. In the second section, students learn quantitative methods for urban planning, including descriptive and inferential statistics, measures of association, and multivariate regression techniques. In the third section, students learn qualitative methods, including survey, interview, observation, case study, and narrative techniques. In the fourth section, students are exposed to innovations in research using image-based data, including static (drawings, maps, photographs) and dynamic visual data (film).