. . . "Generate and select relevant spatial and temporal data for risk assessment at specific scales of analysis and for specific objectives."@en . . "Generate and select relevant spatial and temporal data for risk assessment at specific scales of analysis and for specific objectives."@en . . . "Apply risk information for different disaster management phases to make society more resilient."@en . . "Apply risk information for different disaster management phases to make society more resilient."@en . . . "Develop a deeper understanding of the risk components (hazard, exposure, vulnerability, capacity, and resilience), and the way these are combined for different types of risk."@en . . "Develop a deeper understanding of the risk components (hazard, exposure, vulnerability, capacity, and resilience), and the way these are combined for different types of risk."@en . . . "Communicate effectively on risk and hazard information to a professional and non-professional audience."@en . . "Communicate effectively on risk and hazard information to a professional and non-professional audience."@en . . . "Utilize and evaluate appropriate methods for integrated qualitative and quantitative risk assessment."@en . . "Utilize and evaluate appropriate methods for integrated qualitative and quantitative risk assessment."@en . . "https://ltb.itc.utwente.nl/page/792/concept/152786" . . "Case studies from Netherlands and majority world."@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152822" . . "Risk assessment"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152862" . . "Loss estimation"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152877" . . "Risk reduction"@en . . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152881" . . "Vulnerability"@en . . . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152890" . . "Exposure"@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 . . . "Course"@en . "201800304" . "NHR_004" . "7"^^ . "196"^^ . "10"^^ . "2023-07-06T22:00:00Z"^^ . "f2f" . "hybrid" . "Students will be encouraged to find creative solutions in the use of models, data, and concepts taught as well as state-of-the-art literature and consultation of in-house experts. Introductory lectures are given by teachers that give an overview of the particular topic and guide students with respect to main methods and techniques. For most of the topics treated, an accompanying GIS exercise is offered, in which students can apply what was taught. The exercises contain also advanced sections, where students are further challenged to come up with new solutions. Answer sheets are provided for each of the exercises. Most of the exercises relate to RiskCity, a (partly) hypothetical case study city in a developing country that is exposed to multiple hazards (earthquakes, floods, landslides, technological hazards). Several larger case studies are included where students work in small groups on a particular problem in a real case study related to risk assessment. Students build up a portfolio of assignments. \n\nThe teaching approach contains:\n\n1 - Keynote lectures to introduce key concepts and principles\n\n2 - Supervised practicals to bring the knowledge into practice using a range of tools\n\n3 - Tutorials for personalized and plenary feedback and to explore more independently the use of knowledge and tools\n\n4 - Project work, either individual or group projects"@en . "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 introductory level experience with GIS and Remote Sensing, and a background in earth sciences, geography, environmental science or civil engineering."@en . "9"^^ . "4" . "2B" . "2023-04-23T22:00:00Z"^^ . "The knowledge of hazardous processes and the ability to predict their occurrence in terms of intensity and frequency and their interaction are important requirements to quantify their impact on society. This module focuses on the analysis of the risk, its evaluation, and its use in decision making for different disaster management phases.\n\nThe assessment of risk is a very multi-disciplinary field, that requires knowledge on hazards (types, frequency, intensity, modeling methods), elements-at-risk (types, classification, data collection, quantification), vulnerabilities (physical, social, environmental, institutional), capacities (to predict, cope, and recover) and resilience. Risk could be expressed as qualitative classes, risk matrices, or quantified as expected losses (e.g. monetary values, population). \n\nQualitative and/or quantitative risk assessment is used as a basis for different types of decision-making by various stakeholders, with different objectives: evaluating different risk reduction planning alternatives; link meteorological forecasts with loss estimation in impact-based forecasting; analyze post-disaster reconstruction alternatives in order to “build-back-better”, and increase the resilience. From the perspective of a continuously changing world, driving forces such as climate change, socio-economic development, population growth, and land-use change will put pressure on society, and require that risk is analyzed for future scenarios in order to plan wisely."@en . "Disaster Risk Management"@en . "Hazard and Risk Studio/Disaster Risk Management"@en . "Disaster