All AI Courses
Working with Census.gov 4: Quality, Interpreting and Examples
Chris Williamson, A.K.A. "Dr. Data" completes the final episode in this four course series on the 'architecture' and 'analysis' of the Census Bureau and its many products. In course 4 students will go through a brief introduction to margin of error and a range of error and data quality analysis. Along with some examples and case studies, this course takes us into Dr. Data's own Ventura County, California for a look at some of the more challenging sampling and non-sampling errors many planners and demographers must wrestle with.
Developing a Fact Basis for Hazard Planning
As sea levels rise and the changing face of natural disasters display increasing intensity, hazard mitigation has become a hot button issue in cities across the globe. This course focuses on techniques for assessing hazard exposure and physical and social vulnerabilities.
Bicycle-Friendly Streets: Design Standards
"Bike Friendly Streets: Design Standards" presents examples of cities across the United States and globally redesigning their streets to accommodate and encourage bicycling. From road diets that make room for bike lanes to complete redesigns of streets, cities are stepping up to the challenge of providing a variety of options for the bicyclists in their communities.
Introductory Population Analysis with Excel
Whether you're new to population analysis or just need a refresher, this course offers a comprehensive overview of the steps necessary to conduct analysis and develop projections using publicly available data. The course reviews Census data and builds skills, such as population projection, cohort survival, and concentration calculations that are essential for every professional in the planning and design community.
Introductory Housing Analysis with Excel
Planners play a crucial role in making housing more affordable and livable. In this course, you will learn about basic market principles, how to judge housing needs, and how to meet that housing need through affordable housing—all the data and analysis skills needed to estimate housing needs.
Introductory Urban Economics Analysis with Excel
Economic data is all around us. When we buy coffee or go to the movies, each of those actions involve an economic exchange or a trade of resources. This course teaches Microsoft Excel in applying the concepts of economics to the work of planners. By discussing data analysis techniques, such as sector analysis and economic base calculation with location quotient, you will gain the skills to work with economic data and become a more informed participant in the economic marketplace.
Tactical Urbanism: An Introduction
Developed in conjunction with other movements, the Tactical Urbanism approach allows a host of local actors to test new concepts before making substantial political and financial commitments. Sometimes sanctioned, sometimes not, Tactical Urbanism features the following five characteristics: phased instigation, meeting local planning challenges, realistic and short term, low risk-high gain, and stakeholder capacity building.
Regional Scenario Planning: An Overview
This first of two courses offers a brief history of regional scenario planning in the late 20th century and beyond, with examples from Portland, Oregon's Vision 2040, Salt Lake City's Envision Utah, and the Chicago Metropolis Plan. Principles of regional planning relating to land use, urban design, and transportation are discussed. Finally, more advanced regional planning topics are touched on, including jobs/housing balance, and the relationship between demographics and regional housing market demand.