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Environmental Data Analysis (1.715)

See official MIT catalog listing for this course...


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Prereq: 1.010
Units: 3-0-9

Covers probabilistic concepts and techniques that are useful for environmental data analysis. Topics include: random variables; hypothesis testing; linear regression; analysis of trends; space/time domain analysis; frequency domain analysis; simulation of random fields; Markovian processes; derived distributions; and stochastic differential equations. Problem sets emphasize environmental applications.

E. A. B. Eltahir

 

 

 

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