ORIE 2380

ORIE 2380

Course information provided by the Courses of Study 2019-2020.

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.

When Offered Fall.

Prerequisites/Corequisites 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).

View Enrollment Information

Syllabi: none
  •   Regular Academic Session.  Choose one lecture and one discussion.

  • 3 Credits Stdnt Opt

  • 12775 ORIE 2380   LEC 001

  • 12776 ORIE 2380   DIS 201