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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 explains the menu of contemporary approaches to modifying or adding to transportation capacity. It provides examples of capacity responses to regional mobility for commuters and local accessibility for communities.
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 of virtual reality (VR) and the elements that lead to effective urban design simulations and, ultimately, how to produce VR applications that enable users to explore urban design scenarios.
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.
From unsanctioned crosswalks to city-led "Pavement-to-Plaza" programs, instructor Mike Lydon describes the success of short-term, temporary projects in influencing long-term physical and policy changes in cities across the United States and Canada.
Adobe InDesign is widely recognized among design professionals as the premier document layout software, with a number of valuable applications for urban planning. This course gives you a step-by-step introduction to the basic tools of InDesign CS6.