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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 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.
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.
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.