CE 655
Stochastic Methods in Surface Hydrology
Fall
Required Course:
No
Course Level
Graduate
Units
3
Prerequisite(s)
Consult with course instructor.
Course Description
Topics and applications will vary with instructor. Advanced application of statistics and probability to hydrology, time series analysis and synthesis, and artificial neural network methods, as applied in the modeling of hydro-climatic sequences or Bayesian and other analyses in the decision-making process of water resources. A combination of theory and application to the fields of hydrology, environmental and water resources engineering, climatic modeling and other related natural resource modeling.
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