Browse our library of planning courses
This film surveys some of the most pressing challenges of contemporary urbanism, while also presenting some of the most ambitious ideas for addressing those challenges. In Urbanized, the ideas don't always require the most famous architects and financing from the richest people in the world. According to Urbanized, ambition can be self-taught, community-based, and balanced with nature.
This virtual panel discussion focuses on the potential for the COVID-19 pandemic to influence the development, demographic, and environmental trends of the future. Speakers: Allison Arieff, William Fulton, Scott Frazier, and Mariela Alfonzo. Moderator: James Brasuell.
The Human Scale juxtaposes the urban experiences of cities across the World to raise questions about the costs of modernity and to argue in favor of city planning that reclaims the public realm for social life. This new approach to planning is measured by walking distances, social interactions, and social inclusion, rather than vehicle speeds and parking spaces.
This course discusses how the field of urban informatics works. You will also learn about the technologies and concepts influencing Urban Informatics, including "Big Data," machine learning, visualization, and data-driven decision making.
This course reviews the efficacy of regulatory strategies (such as prohibitions and mandates), pricing strategies (such as peak period pricing), and education and information strategies (such as real-time ride-hailing apps).
This course provides an overview and critique of the four-step model used in transportation planning. By the end of this course, viewers will be able to conceptualize how transportation models can address contemporary problems in transportation planning, such as transit-oriented development.
This course discusses the local and global impacts of transportation systems and the mitigation of those impacts. The course also identifies prospects for change, as achieved by technology, transportation management, and pricing.
Python is one of the world’s most popular programming languages, particularly among beginners, thanks to its clear and straightforward syntax. It is also one of the most widely used languages for data science.