This course will provide an introduction to geographic information systems (GIS) concepts and software. It is intended for undergraduate planning students but open to other undergraduates. The course introduces the concepts of GIS as well as practical training on ESRI's ArcGIS suite. Students successfully completing the course will have general familiarity with the major functionality of ArcGIS

A seminar exploring how racialized inequalities have shaped American cities North & South, past & present, and the influence of racialized urban structures on the idea & experience of race in America. Topics include the effects of segregation, redlining, urban planning, redevelopment, white flight, ghettoization, & neoliberal development on the form & culture of American cities & structures of inequality in the US.

Topical offerings in planning.

Studies current literature on the identification, evaluation, and treatment of historic places. Develops techniques for surveying, documenting, evaluating, and planning for preservation. Analyzes current political, economic, and legal issues in preservation planning.

Varies annually to meet the needs of graduate students.

Studies the principles of design; the architecture of cities and urban design; perception of space and visual analysis; graphic presentation, including mapping techniques; and inventories, information storage, retrieval and use. Prerequisite PLAN 2110

This course introduces the legal framework and major legal issues arising in land use and environmental planning. We focus on notable US Supreme Court decisions related to tools such as zoning, the comprehensive plan, and eminent domain, as well as controversies and cases surrounding federal environmental laws such as NEPA, the Clean Water and Air Acts, and the Endangered Species Act. No previous legal knowledge or coursework necessary.

Urban analytics draws upon statistics, visualization, and computation to better understand and ultimately to shape cities. This course emphasizes geospatial data, familiarizes students with statistical computing using R, and introduces principles and techniques of machine learning. Students will also learn to explain and to critique the results of visualization, analysis, and predictive modeling. Graduate course will have additional requirements.

Examines the role of planning in government decision-making. Focuses on local government, but intergovernmental aspects of planning that influence local decisions are also stressed. Studies planning processes, such as transportation, community development, and social planning.

Urban analytics draws upon statistics, visualization, and computation to better understand and ultimately to shape cities. This course emphasizes geospatial data, familiarizes students with statistical computing using R, and introduces principles and techniques of machine learning. Students will also learn to explain and to critique the results of visualization, analysis, and predictive modeling.