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May 09, 2024
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2002-2003 Graduate Catalog [ARCHIVED CATALOG]
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SMS 595 - Spectral Analysis and Principal Component Analysis
Provides theoretical and computational guidance on techniques commonly used in the analysis of data arising from many of environmental sciences, emphasizing hands-on understanding of the methods and correct interpretation of results. Part one covers spectral analysis of time series: theoretical development analysis of real data. Part two covers analysis of time-space data, centered around Principal Component Analysis (PCA). Term project required.
Prerequisites & Notes
calculus, probability theory and statistics.
Credits: 3
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Graduate School