Introduces data analysis methods regularly encountered within the ocean and earth sciences. Topics include: error propagation, least squares analysis, data interpolation methods, empirical orthogonal functions, and Monte Carlo methods applied to problems drawn from oceanographic and earth sciences datasets. Introduces and uses a high-level computing and visualization package of their choice (e.g., Matlab, python, R, Julia). Student project consists of analysis of the student's own dataset.
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University of California, Santa Cruz
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