12.714 Computational Data Analysis


Class Info

An introduction to the theory and practice of analyzing discrete data such as are normally encountered in geophysics and geology. Emphasizes statistical aspects of data interpretation and the nonparametric discrete-time approach to spectral analysis. Topics include: elements of probability and statistics, statistical inference, robust and nonparametric statistics, the method of least squares, univariate and multivariate spectral analysis, digital filters, and aspects of multidimensional data analysis.

This class has 18.03 as a prerequisite.

12.714 will not be offered this semester. It will be available in the Spring semester, and will be instructed by T. A. Herring and A. D. Chave.

Lecture occurs 9:30 AM to 11:00 AM on Mondays and Wednesdays in 9-151.

This class counts for a total of 12 credits.

You can find more information at the Statistics at MIT - Classes site or on the 12.714 Stellar site.

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Statistics at MIT - Classes
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catalog statistics regression methods models bayesian monte carlo markov kalman

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