HWRS655
Download as PDF
HWRS655 - Stochastic Methods in Surface Hydrology
Course ID
017756
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.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
Course Attributes
CE - CL (Cross Listed), GIDP - STATD (Statistics and Data Science)
Course Requisites
Consult with course instructor.
Cross Listed Courses
May be convened with
Component
Lecture
Optional Component
No