1. Uncertainty of measured hydrologic data. 2. Artificial intelligence methods and their use in water management. 3.–4. Artificial neural networks and their properties and applications to specific tasks. 5.–6. Basics of fluvial geomorphology, application in landcape water management. 7.–8. Small water courses restoration, problems and obstacles, subsidy programmes, model projects. 9. Pedotransfer functions and creation of the database HYPRES, software HYDRUS. 10.–11. Introduction to modeling in pedology, pedogenetic models, models of porous systems. 12. Infiltration, variability of hydropedological variables. 13. Selected lecture on the topic of current practice.

1. Determination of the uncertainty of point and vertical velocity measured hydrometric propeller. 2.–4. The use of artificial neural networks in predicting the average monthly flow. 5.–8. Hydromorphological mapping and evaluation of water courses. 9.–12. Application of sofware HYDRUS (simulation of water flow in the soil profile, ponded infiltration, boundary conditions, complex processing mathematical model).