Environmental Data Analysis

1.715


Covers probabilistic concepts and techniques that are useful for environmental data analysis.  The topics include:  random variables; hypothesis testing; linear regression, analysis of trends; space/time domain analysis; simulation of random fields; Markovian processes; derived distributions; and stochastic differential equations.  Problem sets emphasize environmental applications.  3 Engineering Design Points.

Prerequisites: 1.010 (Uncertainty in Engineering) or equivalent
Graduate (Fall)
3-0-9 H-LEVEL Grad Credit
Professor E.A.B. Eltahir

 

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