1.073 Introduction to Environmental Data Analysis


Class Info

Covers theory and practical methods for the analysis of univariate data sets. Topics include basics of statistical inference, analysis of trends and stationarity; Gaussian stochastic processes, covariance and correlation analysis, and introduction to spectral analysis. Students analyze data collected from the civil, environment, and systems domains.

This class has 1.010 as a prerequisite.

1.073 will be offered this semester (Spring 2018). It is instructed by E. Eltahir.

Lecture occurs 2:30 PM to 4:30 PM on Mondays and Wednesdays in 48-316.

This class counts for a total of 6 credits.

You can find more information at the http://www.google.com/search?&q=MIT+%2B+1.073&btnG=Google+Search&inurl=https site.

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