Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Selected Chapters in Hydroinformatics (17.GD026)

Native organizations units: No data

Type of studies	Title
Doctoral Academic Studies	Disaster Risk Management and Fire Safety (Godina: 2, Winter)
Doctoral Academic Studies	Civil Engineering (Godina: 1, Winter)
Doctoral Academic Studies	Disaster Risk Management and Fire Safety (Godina: 2, Winter)

General information:

Category	Scientific-professional
Scientific or art field	Hydrotechnics
Interdisciplinary	No
ECTS	10

Educational goal:

The goal of this course includes work on improving scientific and technical competence of the participants, as well as work on developing the skills of scientific and technical communication in the field of civil engineering-hydraulic.

Educational outcome:

As a result, students will be able to conduct independent research in the field hydroinformatics of defining issues, through gathering information through search of the literature, the application of the chosen method , and in the end, create a written report that meets the standards of scientific journals.

Course content:

Statistical analysis of the hydro-climatology. Spatial interpolation of climate data, analysis of the frequency of high water, rain frequency analysis, probabilistic hydrological forecasts, predictions using the state space, the predictability of the water quality parameters, the application of genetic algorithms, neural networks application, the use of covariation analysis, trend analysis and other changes in the hydrological and weather hydro-climatic series.

Teaching methods:

Interactive work with the students to the continuous monitoring of the level of student learning. Theoretical analysis and numerical modeling of the phenomenon covered by syllabus . Program requires preparation and defense of a term paper.

Literature:

Authors	Title	Year	Publisher	Language
Kumar, P., Alameda, J,	Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling	2006	CRC Press, Boca Raton, Florida	English
Salas, J.D., Markus, M., and Tokar, A.S	Streamflow Forecasting Based on Artificial Neural Networks; chapter in Artificial Neural Networks in Hydrology	2000	Kluwer Academic Publishers, Dordrecht	English
Zelenhasić, E.	Inženjerska hidrologija	1991	Naučna knjiga, Beograd	Serbian language