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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 major forms of planning applicable to transportation, including rational comprehensive planning, strategic planning, policy analysis, incremental planning, advocacy planning, and communicative planning.
By the end of this course, you will have a strong understanding of the way in which transportation systems interact with society and the economy.
This course discusses the process for making ethical decisions as part of planning for disruptive technologies.
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.
At the end of this course, participants will be acquainted with the UrbanSim forecasting methodology, understanding the features available in the UrbanSim Cloud Platform and the basics of an UrbanSim model at the Census block level.
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.