Courses of Study 2018-2019 
    Sep 28, 2023  
Courses of Study 2018-2019 [ARCHIVED CATALOG]

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ORIE 2380 - Urban Analytics

Fall. 3 credits. Student option grading.

Prerequisite: background in data science at the level of ORIE 1380  Data Science for All (or equivalently, knowledge of Python–at least at the level of CS 1133  and statistics at the level of STSCI 2100 ).

D. Shmoys.

Data documenting urban life is being collected at a scale unimaginable just a few years ago. And yet, the use of urban data to improve our quality of life has its roots in stemming the 1854 cholera outbreak in London. Through a series of case studies, this course will explore a number of facets of the use of urban data in understanding, forecasting, and decision-making in our lives today, starting with this example in epidemiology, but continuing with modern transit (including ride- and bike-sharing), emergency services, criminology, and environmental monitoring/planning. The course will emphasize the role of mathematical, statistical and computational models in these settings.

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