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.
This class counts for a total of 6 credits.
You can find more information at the Civil and Environmental Engineering (Course 1) < MIT site.
© Copyright 2015 Yasyf Mohamedali