Branden M Born
Methods of statistical and mathematical analysis in design and planning. Emphasizes the use of computer packages for analyzing urban data. Regression, matrix methods, cohort-survival populations models with examples solved on microcomputers. Prerequisite: college mathematics and basic course in probability and statistics.
The catalog description, is, unfortunately dated and inaccurate. Here's the updated version.
This course is designed to familiarize students with the collection and statistical analysis of data for planning and public policy purposes. The intent of the course is to provide opportunity for students to define, conceptualize, design, and implement research and analysis on issues of current public interest. It will also make students aware of the ways statistics may be used to misrepresent data. The course covers theory and application, with emphasis on critical analysis in application. The methods covered include basic statistical methods considered fundamental to most planning analysis.
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