Hydrological systems are both complex and extremely heterogeneous in time and space. Stochastic hydrology is the statistical branch of hydrology that deals with the probabilistic modeling of those hydrological processes which have random components associated with them. Stochastic hydrology is mainly concerned with the assessment of uncertainty in model predictions. The use of probabilistic techniques to characterize hydrologic processes is a key element in the analysis of hydrologic problems. Such analyses are characterized by data collection, analysis and interpretation, simulation and forecasting. This course will introduce stochastic methods used in hydrology. The level of understanding should, upon completion of the course, be sufficient to understand and appreciate the important issues in the current literature on stochastic hydrology where statistical methods are used in prediction and interpretation of hydrologic processes. The course will involve readings from the stochastic hydrology literature and hands on computer analysis and simulation.