. . . "Use process-based models for assessing the spatio-temporal distribution and evolution of hazardous events in order to construct hazard scenarios and maps that are important for risk analysis."@en . . "Use process-based models for assessing the spatio-temporal distribution and evolution of hazardous events in order to construct hazard scenarios and maps that are important for risk analysis."@en . . . "Detect sources of uncertainty and assess their effect on modelling results. Interpret model outcomes to define hazard posed by process."@en . . "Detect sources of uncertainty and assess their effect on modelling results. Interpret model outcomes to define hazard posed by process."@en . . . "Describe the scientific and engineering principles that underlie natural hazards, including the factors affecting the initiation, the spatio-temporal evolution, and hazard interactions."@en . . "Describe the scientific and engineering principles that underlie natural hazards, including the factors affecting the initiation, the spatio-temporal evolution, and hazard interactions."@en . . . "Understand and describe sources of model uncertainty. Calibrate and validate process-based models for natural hazards."@en . . "Understand and describe sources of model uncertainty. Calibrate and validate process-based models for natural hazards."@en . . . "Select a model for the simulation of a specific process, summarize the modelling principles and assumptions, and recognize limitations."@en . . "Select a model for the simulation of a specific process, summarize the modelling principles and assumptions, and recognize limitations."@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "The Master’s Programme Geo-Information Science and Earth Observation (M-GEO) is a two-year academic curriculum at MSc level, taught fully in English, dedicated to understanding the earth’s systems from a geographic and spatial perspective. The field of Geo-information Science and Earth Observation has, in recent years, witnessed fast scientific and technological developments. As a result, geographic information has become a vital asset to society and part of our daily life. The ubiquitous production and availability of spatial data require cloud computing and new technology to turn the increasing volume of ‘big data’ to good use. The growing range of global challenges, from climate change and resource depletion to environmental pollution and pandemic diseases, that our society and in particular the more vulnerable populations on our planet are facing, increases the demand for academic professionals who have the ability, attitudes and skills to design solutions that are sustainable, transdisciplinary and innovative with positive societal impacts. Our education focuses on addressing these global problems by means of advanced geo-information and earth observation applications."@en . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . . . . . . . . . . . "Natural Hazards and Disaster Risk Reducation"@en . "NHR"@en . . . "ArcGIS"@en . . . "QGIS"@en . . . "Course"@en . "201800289" . "NHR_003" . "7"^^ . "196"^^ . "10"^^ . "2023-04-20T22:00:00Z"^^ . "f2f" . "The students will focus on the principles and modelling of selected natural hazards through a combination of theory, practicals, and hazard assessment project. Interactive lectures and tutorials in the form of group discussions are planned to facilitate the introduction and comprehension of critical scientific and engineering concepts. The flipped classroom technique will be used as a self-paced educational method to promote the personal involvement of the student in the learning process and to enhance independent thinking. The educational aim of this course is twofold: on one hand, to provide the students with a range of modelling tools in order to develop their practical and technical skills; and on the other, to promote their ability to reason well and to encourage their disposition to do so, at the moment of discussing modelling assumptions, suitability and limitations. These aims are planned to be achieved through supervised practicals and short individual or group assignments, in an initially guided and, later on, more independent environment. Sensitivity analysis of the models and comparison and interpretation of their results, (e.g. using different datasets, modelling techniques and parameters) are intended to trigger active exploration of and reasoning on the physical processes and simulations. Students are further encouraged to deepen into theory and practice with supplementary material to independently explore during the group projects."@en . "core courses. This is an elective as part of track NHR,Compulsory for the ‘Natural Hazards and Disaster Risk Reduction’ (NHR) specialization of the ‘Geo-information Science and Earth Observation (M-GEO) programme.\nStudents from other specializations and programmes should have experience with GIS and Remote Sensing, and a background in earth sciences, geography, environmental science or civil engineering."@en . "5"^^ . "3" . "2A" . "2023-02-05T23:00:00Z"^^ . "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 Haz