04:30 PM to 07:10 PM W
Research Hall 201
Section Information for Spring 2019
This course will examine the history of big data and the transition from surveillance to dataveillence in contemporary power structures. While we will engage some of the theoretical writing on computational media to gain deeper understandings of code, algorithms, data, and digital media more broadly, the bulk of the course will be dedicated to examining key technologies and techniques of power that leverage big data. These technologies include databases, machine learning algorithms, and distributed or cloud computation. Their applications may include things like targeted advertisement and propaganda, monitoring communications (internet traffic, telephone and SMS communications, etc.), machine vision and facial recognition, predictive policing, recidivism modeling and sentencing and parole guidelines, gerrymandering, blockchain and cryptocurrency technologies, high frequency trading, credit reporting, predatory lending, actuarial calculations and risk assessment, personality and cognitive exams on workforce applicants, workplace wellness programs, automated resume scanning, value-added educational metrics in public schools, and matriculation models for maximizing university selectivity.
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Enrollment is limited to Graduate level students.