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 not be offered this semester. It will be available in the Spring semester, and will be instructed by E. Eltahir.

Lecture occurs 10:30 AM to 12:00 PM on Mondays and Wednesdays in 48-316.

This class counts for a total of 6 credits.

In the Spring 2016 Half Term Subject Evaluations, 1.073 was rated 4.3 out of 7.0. You can find more information at the MIT - Faculty - Elfatih A.B. Eltahir site or on the 1.073 Stellar site.

MIT 1.073 Introduction to Environmental Data Analysis Related Textbooks
MIT 1.073 Introduction to Environmental Data Analysis On The Web
MIT - Faculty - Elfatih A.B. Eltahir

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