{"id":94,"date":"2015-01-26T20:20:13","date_gmt":"2015-01-26T20:20:13","guid":{"rendered":"http:\/\/arlduc.org\/senseandscale\/?p=94"},"modified":"2015-04-02T16:34:34","modified_gmt":"2015-04-02T16:34:34","slug":"nyu-class-description-syllabus","status":"publish","type":"post","link":"https:\/\/arlduc.org\/senseandscale\/?p=94","title":{"rendered":"NYU Class Description & Syllabus"},"content":{"rendered":"
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The Quantified Self About Town<\/a><\/strong><\/h1>\n<\/div>\n
Tues, 12:10pm to 3:05pm.<\/div>\n
721 Broadway, NYC, Floor 4, Room\u00a015<\/div>\n
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How can we take advantage of the connected technologies transforming individual data to massively larger scales in time and space? From smartphones to wearables, from social media to quantified self, the aggregation and geo-location of data is becoming a major part of how our spaces, cities, and regions are assessed and planned.<\/p>\n

In this class, we\u2019ll look at how we can design and deploy with some of the most commonly hackable instruments\u2013 microcontrollers, sensors, and phones\u2013 that collect environmental, social, biological, and personal data. Students will learn to access the computing and geo-visualization resources they need to deploy their own data collection instruments in the urban environment.<\/p>\n

The class will kick off with findings from a January 2015 workshop at MIT called \u201cPhysical Computing and Urban Studies,\u201d in which students will consider the political, historical, and social underpinnings of how sensors are used in urban studies and planning.<\/p>\n<\/div>\n

Student Prerequisites<\/span>:<\/strong><\/div>\n