UP 517

Credit: 4 hours.

To develop a smart city with data-driven policies and innovative solutions, knowledge and skillsets about big data collecting and analyzing become increasingly important for urban planners and policy makers. This is a graduate level course where students will learn advanced concepts, skills, and tools for effective data processing as well as project-oriented skills e.g. spatial analysis, data modeling, pattern analysis, and text analytics. This applied course contributes extensive technique skillsets for students’ capstone/thesis/dissertation/project work.

4 graduate hours. No professional credit. Prerequisite: Restricted to students with Graduate standing or permission of instructor.