. . . "Carry out a spatial quantitative multi-hazard risk assessment."@en . . "Carry out a spatial quantitative multi-hazard risk assessment."@en . . . "Evaluate existing loss estimation methods in terms of their objectives, data requirement, calculation methods and outputs."@en . . "Evaluate existing loss estimation methods in terms of their objectives, data requirement, calculation methods and outputs."@en . . . "Formulate, analyse, report and present solutions for solving a problem related to changing multi-hazard risk."@en . . "Formulate, analyse, report and present solutions for solving a problem related to changing multi-hazard risk."@en . . . "Develop different planning alternatives and analyse how these alter the hazard, exposure and risk and identify which are optimal from a stakeholder perspective."@en . . "Develop different planning alternatives and analyse how these alter the hazard, exposure and risk and identify which are optimal from a stakeholder perspective."@en . . . "Analyse how hazard and risk may change over time due to climate change, land use change, population changes and other socio-economic changes."@en . . "Analyse how hazard and risk may change over time due to climate change, land use change, population changes and other socio-economic changes."@en . . . "Specify the data requirements for risk assessment, including the components of hazard, elements-at-risk and vulnerability."@en . . "Specify the data requirements for risk assessment, including the components of hazard, elements-at-risk and vulnerability."@en . . . "Formulate, analyse, report and present solutions for solving a problem related to changing multi-hazard risk."@en . . "Formulate, analyse, report and present solutions for solving a problem related to changing multi-hazard risk."@en . . "202001419" . "CORE_0001" . "4"^^ . "112"^^ . "3"^^ . "2022-11-10T23:00:00Z"^^ . "f2f" . "The first week of the course (i.e. the first week of quartile 1) consists of a series of introductory presentations, group assignments and plenary discussions. In the last two weeks of the course (i.e. weeks 9 and 10 of quartile 1) you will carry out an individual project assignment."@en . . . . "Courses CORE_002 and CORE_003 are corequisite. Compulsory for students in the Master of Science degree programme in Geo-Information Science and Earth Observation. The suitability of other candidates is assessed on an individual basis. The main assessment of the course is dependent on skills obtained in courses 2 and 3 of the core. ,Open for students in the Master of Science degree programme in Geo-Information Science and Earth Observation. The suitability of other candidates will be assessed on an individual basis."@en . . . . . . . . "18"^^ . "1" . "1A" . . "2022-09-04T22:00:00Z"^^ . "Geo-Information Systems and Science (GIS) and Earth Observation by Remote Sensing (RS) are among the main focus areas of the Faculty ITC. We concentrate on the underlying geospatial concepts that contribute to the development of technological innovations. With the help of GIS and RS we also increase our understanding of aspects of system Earth. GIS and RS help us in making contributions to solutions for global challenges, such as the dealing with effects of climate change and rapid urbanisation, and the need for a more sustainable use of our resources.\n\nThis first quartile (entitled 'GIS and RS for Geospatial Problem Solving') of your study programme at ITC consists of three interrelated courses. In these courses we aim to provide you with a general understanding about GIS and RS principles, and with hands-on experience in using software tools for handling and processing geospatial data. Apart from the geo-technological focus, the courses also challenge you in developing an attitude of using GIS and RS in dealing with geospatial problems and answering geospatial questions related to real world problems and challenges. The three courses will take you through the main stages of a geospatial problem solving cycle: from the identification of a geospatial problem and associated questions, via the acquisition, management and exploration of maps, images and other geospatial data, to the analysis and processing of images and spatial data, and eventually to the generation and communication of geospatial information needed for answering the geospatial questions."@en . "GIS & RS for Geospatial Solutions"@en . . "GIS & RS for Geospatial Solutions"@en . "GIS & RS for Geospatial Solutions"@en . "Core_0001" . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "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 . . . . "Course"@en . "201900094" . "AES_0002" . "5"^^ . "140"^^ . "10"^^ . "f2f" . "This course is open for short-course participants and MSc students with an affinity with disaster risk reduction challenges, combined with experience with GIS and spatial data.\n\nMSc students selecting this elective course must indicate their ability to participate full-time (i.e. 4 scheduled course days per week) in the first two weeks of the course. "@en . "1"^^ . "This course provides an advanced understanding in the assessment of dynamic risk for multi-hazards from hydro-meteorological and geological origin (e.g. landslides, floods, earthquakes). The main focus of the course is on the quantitative analysis of how risk changes, and how information on changing risk is used in decision making for disaster risk reduction. Risk can change gradually due to changing land use, population growth, and climate change. Risk can also change abruptly due to the occurrence of disaster events, that change the environmental and socioeconomic conditions completely. We look at various methods for risk assessment, ranging from qualitative methods based on Spatial Multi-Criteria Evaluation, through semi-quantitative methods based on exposure modelling, to quantitative risk assessment using hazard intensity, frequency, exposure and physical vulnerability, depending on the data availability and objectives of the study. In order to evaluate changing risk we need to analyse also how hazard changes, and how elements-at-risk (buildings, population, transportation infrastructure etc.) change in terms of location and vulnerability. In order to evaluate optimal risk reduction alternatives (structural and non-structural) risk reduction is calculated and costs-and benefits are evaluated. Stakeholder views regarding the various alternatives are also considered using a Spatial Multi-Criteria Approach.\n\nThis course is offered both as elective course for second-year MSc students, and as short course, for external course participants."@en . "Analysing Changing Multi-hazard Risk 2"@en . "Analysing Changing Multi-hazard Risk 2"@en . "Analysing Changing Multi-haz