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Fall 2014 Semester
Feb 22, 2018
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Information Select the desired Level or Schedule Type to find available classes for the course.

PPUA 5262 - Big Data for Cities—Visual Data Mining Strategies
Investigates the city and its spatial, social, and economic dynamics through the lens of data and visual analytics. Utilizes large public datasets to develop knowledge about visual methods for analyzing data and communicating results. Offers students an opportunity to develop a critical understanding of data structures, collection methodologies, and their inherent biases. Prereq. Juniors, seniors, and graduate students only.
3.000 Credit hours
3.000 Lecture hours

Levels: Graduate, Undergraduate
Schedule Types: Seminar

Pub Policy and Urban Affairs Department

Course Attributes:
GS Col Socl Sci & Humanities

Restrictions:
Must be enrolled in one of the following Levels:     
      Undergraduate
      Graduate
Must be enrolled in one of the following Classifications:     
      Junior
      Senior
      Graduate

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