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This course intends to provide the students with fundamental knowledge and practical understanding of common techniques to process, present, and interpret data in water resources engineering. This knowledge and understanding will allow the students to select and apply the most appropriate techniques to summarize and organize data when they will be trying to study certain variables in water resources engineering. It also allows them to have an insight into the limitations of data collection, data analysis, and data interpretation. It will also allow students to understand more specifically, the consequences to the development and the calibration of mathematical models and other predictive tools in water resources engineering. Also, the consequences to the evaluation, the exploitation, and the management of the water systems will be discussed. The understanding of the data limitations and their consequences are useful in setting up the most appropriate data collection programs for specific water management and planning problems. Based on discussions of the different uncertainty sources, also a fundamental insight is given in the general process of mathematical modeling and of generating different data-driven scenarios.
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