12.714 Computational Data Analysis
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.
This class counts for a total of 12 credits. This is a graduate-level class.
You can find more information at the 12.714 Computational Data Analysis site.
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