IDS.012 Statistics, Computation and Applications


Class Info

Hands-on analysis of data demonstrates the interplay between statistics and computation. Includes four modules, each centered on a specific data set, and introduced by a domain expert. Provides instruction in specific, relevant analysis methods and corresponding algorithmic aspects. Potential modules may include medical data, gene regulation, social networks, finance data (time series), traffic, transportation, weather forecasting, policy, or industrial web applications. Projects address a large-scale data analysis question. Students taking graduate version complete additional assignments. Enrollment limited; priority to Statistics and Data Science minors, and to juniors and seniors.

This class has 6.01, 6.0002, 18.03, 18.06, 2.087, 6.008, 6.041B, 14.30, 16.09, and 18.05 as prerequisites.

IDS.012 will be offered this semester (Fall 2017). It is instructed by S. Jegelka and C. Uhler.

Lecture occurs 11:00 AM to 12:30 PM on Mondays and Wednesdays in 26-100.

This class counts for a total of 12 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+IDS.012&btnG=Google+Search&inurl=https site.

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