. . . . "ITC Bok"@en . . "https://ltb.itc.utwente.nl/page/792/concept/152976" . . "Data suitability"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152968" . . "Data accessibility"@en . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152946" . . "Fitness for use"@en . . . . . . . . . "5.0" . "140.0" . "10.0" . . . . . "F2F" . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "4.0" . "3.0" . "The aim of this course is to enhance the student’s understanding of the physical processes that cause natural hazards, the methods and the physically-based modelling approaches for hazard analysis, to the point at which students are able to use them with their own data. As the processes of selected natural hazards, including flooding, landslides and earthquakes, are explained, the students will be introduced to fundamentals of the underpinning science and engineering. Model data requirements and data collection will be treated, as well as the evaluation of uncertainty of input data on simulation outputs. Modelling principles and assumptions, possibilities and limitations will be discussed with the aim that students can make a proper selection of models for a given situation and critically reflect on the results, in order to support hazard analysis as input to risk management and mitigation. "@en . "Physically-based Hazard Modelling"@en . . "Physically-based Hazard Modelling"@en . "Physically-based Hazard Modelling"@en . . "5.0" . "140.0" . "10.0" . . . . . "blended, F2F, online" . . . . . . . . . . . . . . . "Introduction to hazard risk resillience course, GIS data management/terrain analysis"@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "3.0" . "2.0" . "The identification and assessment of natural hazards is a crucial component of disaster risk management. This course will focus on the modelling of natural hazards, with an emphasis on hydro-meteorological hazards (e.g., floods, landslides and erosion). Starting from the relevant natural phenomena and their causes, the generation of historical inventories of hazardous phenomena will be discussed. From the cloud-based generation of the hazard inventories and their interpretation, the course will expand on the main methods and tools to assess the susceptibility and hazard at different scales. The course will provide the foundation for predictive approaches with a particular focus given to statistical models of multivariate nature. The latter will combine the spatial and temporal dimensions. The use of empirical models will further investigate runout patterns to estimate areas under threat."@en . "Data driven Hazard modelling"@en . . "Data driven Hazard modelling"@en . "Data driven Hazard modelling"@en . . . . . . . . . "In the context of landslide hazard, formulate the data requirements for the statistical modelling approaches (including aspects of scale and data quality)."@en . . "5.0" . "Evaluate"@en . . . . . . "Apply descriptive and inferential statistics to assess the quality of the data sources of your use cases."@en . . . . "Apply descriptive and inferential statistics to assess the quality of the data sources of your use cases."@en . . . . . . . . . "Understand and describe sources of model uncertainty and limitations in terms of the interplay between data quality and model results, as well as the physically-based assumptions of the model"@en . "https://ltb.itc.utwente.nl/page/792/concept/152966" . . "Data quality"@en