1.073 Introduction to Environmental Data Analysis
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 2019). 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 MIT + 1.073 - Google Search site.
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