Regional Planning Studio I

The first in a sequence of workshop-type courses, to integrate skills and knowledge from conventional courses and apply them to representative planning problems. Instructional goals: to develop the skills and techniques for collecting, analyzing, synthesizing and presenting spatial and non-spatial data; and to develop a sense of judgement about the comprehensiveness and reliability of the data and its utility for planning decisions.

Planning w/MinorityCommunities

This class will investigate the issues of minority community planning and public participation through lectures and discussions in class, followed by an on-site case study and community participation process. During the in-class lectures and discussions, we will investigate the history of the community and the complex spatial patterns that they have created on the land, patterns which support their communities and way of life. We will also study the theory of public participation, particularly as it affects rural and minority communities.

Growth Management

The role of policy in guiding optimal growth. Examination of constitutional issues, controversies regarding growth management practices, techniques used in designing growth management strategies, and future trends in growth management. Prerequisite: Reg Pl 651 or consent of instructor.

Theory&Practice of PubParticp

This course will introduce students to public participation at the practice level in planning. Lectures and class discussions will review current theory underpinning participation practice, and will critically evaluate the wide range of participation methods currently in use in planning practice. There will also be one or more exercises in participation implementation that occur outside standard class times, when we will join one of the other studio classes, and plan and run their participation process.

Quant Meth In Planng

Application of quantitative methods used by regional and urban planners. Problem definition and data sources, data collection and analysis using descriptive and inferential statistics, and spreadsheet and database planning software. Data presentation techniques. Prerequisite: Statis 501 or equivalent.
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