48-714 Data Analytics for Urban Design
9 units, Carnegie Mellon University
Data Analytics for Urban Design asks how we understand and design cities through large scale data. The pervasiveness of online information provides rich resources for urban design. These include the citizen and open data movements, social media, big data, the Internet of Things and smart cities. We will investigate how these emerging areas contribute opportunities and strategies beyond current practice. We will also explore the potential the web has to offer as a platform not just to gather data but to engage. We will consider its potential to involve and collaborate with residents through urban data. These investigations are organized as a series of 5 modules. Each explores contemporary methods and workflows to leverage online data in the urban design process. The modules will introduce the means to collect and access data tools, techniques, and context required for analysis and processing and strategies and visualization techniques for data aggregation and synthesis. Balancing theory and practical application, students will critically examine key topics in citybased data analytics through relevant readings, independent research, invited lectures, computational tools and techniques, and applied explorations of real world, largescale datasets.
Prerequisites: none listed
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