Data, Probability and Planning

3 credits · Undergraduate

This course explores the strategic value of using data and analytics to inform planning decisions. It introduces basic elements of survey design, sampling strategy and survey tools. The course familiarizes students with database structure, data analytics, interpretation and predictions utilizing a variety of sources including census tabulations. It also introduces basic statistical methods, descriptive and inferential, used in urban and regional planning. The course trains students on several tools, including MS Excel, MS Access and Mintab for data analysis, mining and visualization. RESTRICTIONS: Restricted to students who have completed at least 30 credit hours