Browse our library of planning courses
The future of work and the future of education are location independent, and we’re all better off because of it. This course focuses on general remote work tips and three remote work topics at the forefront of urban planners' minds as working from home becomes a new normal in the field of urban planning: productivity, teamwork, and public meetings.
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 explores the characteristics and the challenges of smart cities, as well as the potential opportunities for smart cities within the design and planning fields. This course also discusses the drivers and the essential technologies in a smart city.
This course explains the major forms of planning applicable to transportation, including rational comprehensive planning, strategic planning, policy analysis, incremental planning, advocacy planning, and communicative planning.
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.
Combining ArcGIS and Google Earth allows for a convenient, powerful way to create and share professional, accurate spatial visualizations of geographical analysis to a wide audience. This course explores how to prep shape files for ingestion into Google Earth, share city data with the public, and aid in pre-visualizing via geo-referencing around potential development sites.