Přístupnostní navigace
E-application
Search Search Close
Course detail
FAST-DSB022Acad. year: 2023/2024
Introduction of stochastic hydrology, modeling of artificial flow series, modelling of synthetic rainfall, problems of temporal and spatial rainfall distribution, meteorological radars and meteorological satelites, numerical meteorological prediction models, models of rainfall - runoff process in small and big river basins, operative prediction of river basin runoff, extreme flows
Language of instruction
Number of ECTS credits
Mode of study
Guarantor
Department
Entry knowledge
Basic knowledge of higher mathematics, statistics and probability theory, physics. Detailed knowledge of hydrology (magister study level). Basic knowledge of Matlab and R programing.
Rules for evaluation and completion of the course
To evaluation of Hydrology course the examination have to be pass. Examination evaluates theoretical and practical knowledge.
Aims
Ability of detailed orientation in problems of hydrology, independent solution of difficult hydrological tasks, theoretical knowledge for following PhD. study aimed at water management problems
PdD student gains knowledge for applikation stochastic hydrology and operative hydrology methods in thesis
Study aids
Prerequisites and corequisites
Basic literature
Recommended literature
Classification of course in study plans
Lecture
Teacher / Lecturer
Syllabus