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 not be offered this semester. It will be instructed by E. Eltahir.
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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