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CEWA 565 Data Anaylsis in Water Sciences (4) J. LUNDQUIST
Covers fundamental topics related to data analysis, including statistical inference testing and error estimation, linear and quantile-based regression models, Monte Carlo simulation, time series analysis, Bayes theorem, and data visualization using modern computer techniques. Applications to water sciences, but techniques are applicable to any area. Offered: A.
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CEWA 566 Satellite Remote Sensing for Water Resources (3) F. HOSSAIN
Basic principles of satellite remote sensing of earth's water. Practical aspects of remote sensing in the context of conventional water management. Data uncertainty, modeling and assimilation for advancing water management. Offered: A.
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CEWA 576 Physical Hydrology (4) E. Istanbulluoglu
Engages familiarity with physical hydrologic processes, interactions, and their representations over multiple timeframe references and scales. Project and report based exercises extend furthering analytical skills using existing theories and observations in Physical Hydrology. Offered: A.
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