HWR/CE 655 - Stochastic Hydrology - Fall '04
 

Advanced application of statistics and probability to hydrology. Topics/applications may vary with instructor, e.g., 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.

Objective: To present modern techniques of time series analysis and synthesis to be applied in the modeling of hydro-climatic sequences. The course presents a combination of theory and real world applications of these techniques to the fields of hydrology, environmental and water resources engineering, climatic modeling and other related natural resources modeling.

 

Syllabus

Class Notes

 

References:

     
  The Analysis of Time Series: An Introduction , C. Chatfield,  
       
         
  Instructor: Dr. Juan B. Valdés
Office: CE 206C
Office Hours: By appointment, call 621-6564
Email: jvaldes@u.arizona.edu