This course addresses the fast-growing area of social and environmental measurement using technologies such as mobile devices, “Internet of Things” (or “Web of Things”) style sensors, and remote sensing. We will take a project-based approach, with a classroom discussion each week, followed by a tutorial / practicum.
Note that the focus of this course is on data collection and management. Teams will likely do some basic visualization and exploratory data analysis; statistics and/or machine learning are not expected.
We will leverage support from the Social Science Matrix, the D-Lab, the Berkeley Institute of Data Science (BIDS), and Berkeley Research Computing to provide necessary training, hardware, and compute resources.
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