2016-2018 Undergraduate and Graduate Bulletin (with addenda) 
    
    Sep 16, 2019  
2016-2018 Undergraduate and Graduate Bulletin (with addenda) [ARCHIVED CATALOG]

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CE-UY 3383 Urban Informatics for Social Good

3 Credits
The vast amount of data generated from diverse data sources provides both an opportunity and a challenge to urban managers and decision-makers. The application of data-driven analytics to parse the detailed data that city agencies continually collect offers the opportunity to identify new areas for operational efficiencies, enhanced service delivery, and better informed policy design and implementation. When combined with other, correlative data sources - pulled from social media feeds, transit cameras, and myriad sensors - the potential increases significantly to understand and improve quality-of-life in cities. This course introduces students to computing methods in informatics and data science, and their applications to civil and urban engineering, urban policy, city management. Topics include structured and unstructured data, big data, urban sensing and IoT, predictive modeling, data cleaning and analysis, data visualization, and specific domain use cases.

Corequisite(s): (MA-UY 2224  or an approved equivalent) and (CS-UY 1114  or an approved equivalent) or department permission.
Weekly Lecture Hours: 3



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