. . . "Analyse the intra-urban socio-spatial patterns in relation to current theoretical and empirical debates in urban studies and planning. "@en . . "Analyse the intra-urban socio-spatial patterns in relation to current theoretical and empirical debates in urban studies and planning. "@en . . . "Apply qualitative, statistical, and GIS-based spatial analytical methods to detect and analyse intra-urban socio-spatial patterns."@en . . "Apply qualitative, statistical, and GIS-based spatial analytical methods to detect and analyse intra-urban socio-spatial patterns."@en . . . "Interpret results and relate these to policy implications."@en . . "Interpret results and relate these to policy implications."@en . . . "Collaborate and communicate with inter and transdisciplinary colleagues to shape societal relevant challenges related to urban quality of life and well-being."@en . . "Collaborate and communicate with inter and transdisciplinary colleagues to shape societal relevant challenges related to urban quality of life and well-being."@en . . . "Identify a learning path to solve socially relevant challenges related to urban quality of life and well-being. "@en . . "Identify a learning path to solve socially relevant challenges related to urban quality of life and well-being. "@en . . . "Describe the relevance and validity of selected qualitative and quantitative methods in the context of urban studies and planning."@en . . "Describe the relevance and validity of selected qualitative and quantitative methods in the context of urban studies and planning."@en . . "https://ltb.itc.utwente.nl/page/792/concept/152747" . . "Spatial knowledge"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152783" . . "Spatial patterns"@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152797" . . "Inequality"@en . . . . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152805" . . "Mixed-methods."@en . . . . "https://ltb.itc.utwente.nl/page/792/concept/152824" . . "Quality of life"@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 . . . . "ArcGIS"@en . . . "Atlas.ti"@en . . . "Maptionnaire"@en . . . "SPSS"@en . . . "Course"@en . "201800306" . "PGM_0002" . "7"^^ . "196"^^ . "10"^^ . "2023-07-06T22:00:00Z"^^ . "f2f" . "Knowledge of GIS at level of Core Courses or higher; Ability to independently apply GIS software; Knowledge of basic statistics.,Knowledge of GIS at level of Core Courses or higher;\nAbility to independently apply GIS software;\nKnowledge of basic statistics."@en . "5"^^ . "4" . "2B " . "2023-04-23T22:00:00Z"^^ . "This elective explores issues of socio-spatial inequality, differentiation and fragmentation that impact the urban environment and the quality-of-life of urban residents. We concentrate on capturing and understanding diverse forms of knowledge regarding intra-urban variations of quality-of-life, including socioeconomic status and health. A better understanding of the resulting socio-spatial patterns is essential for targeting (multiple) deprived areas and implementing area-based and regeneration policies. Particular attention will be paid to different scales of analysis and categorisations.\n\nThe course follows a challenge-based learning approach where students Identify a learning path to solve socially relevant challenges related to urban quality of life and well-being. This course presents several methods under a mixed-methods approach. Through a combination of lectures, reading assignments, exercises, and group work, students learn to combine quantitatively derived patterns and measures with urban residents generated data and perceptions and interpret the complementary results acquired. Group collaboration: each student will carry a diary to report their work, observations, challenges, and strategies to methods used."@en . "Intra Urban Spatial Patterns and Processes"@en . "Intra Urban Spatial Patterns and Processes"@en . "Intra Urban Spatial Patterns and Pr