Lecture, four hours. Recommended: some experience in statistical computing. Exploration of methods used in analysis of numerical time-series data. Topics include temporal and frequency analysis, wavelets, and chaos. Implementation of discussed techniques using real data sets. Letter grading.

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22F 21W 20W 18W 17W

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