. . . "Develop and execute an independent geohealth project."@en . . "Develop and execute an independent geohealth project."@en . . . "Present individual term-project and peer-evaluate term project"@en . . "Present individual term-project and peer-evaluate term project"@en . . . "Explain what cluster analysis is; Explain how cluster analysis can be used in health studies;List different clustering methods that can be used for clustering analysis; Perform spatial clustering analysis and assess map and examine spatial patterns in the data."@en . . "Explain what cluster analysis is; Explain how cluster analysis can be used in health studies;List different clustering methods that can be used for clustering analysis; Perform spatial clustering analysis and assess map and examine spatial patterns in the data."@en . . . "Same as LO6"@en . . "Same as LO6"@en . . . "List factors important in understanding the ecology of vector-borne diseases; Apply map algebra, spatial statistics and raster analysis to model risk of vector-borne disease - malaria"@en . . "List factors important in understanding the ecology of vector-borne diseases; Apply map algebra, spatial statistics and raster analysis to model risk of vector-borne disease - malaria"@en . . . "Identify data sources useful for exploring health and disease outcomes and distinguish and critique between authoritative vs. non-authoritiative data sources;"@en . . "Identify data sources useful for exploring health and disease outcomes and distinguish and critique between authoritative vs. non-authoritiative data sources;"@en . . . "Describe the research process used to investigate patterns associated with health and disease ; Calculate summary statistics (central tendency, variability);Calculate the three centers of spatial data distributions; Describe the concepts of basic biostatistics and how these can be applied to summarize and analyze health and disease data"@en . . "Describe the research process used to investigate patterns associated with health and disease ; Calculate summary statistics (central tendency, variability);Calculate the three centers of spatial data distributions; Describe the concepts of basic biostatistics and how these can be applied to summarize and analyze health and disease data"@en . . . "Describe how geospatial information, technologies and spatial analysis methods can be used in health and disease studies"@en . . "Describe how geospatial information, technologies and spatial analysis methods can be used in health and disease studies"@en . . . "Complete analysis and write-up of individual term-project."@en . . "Complete analysis and write-up of individual term-project."@en . . . "List factors important in determining accessibility to health care; Review different approaches used to model accessibility to healthcare; Describe approaches useful for examining access to healthcare based on distance, time and cost;Explain the map algebra concepts; Evaluate disparities of accessibility to health care; Propose solutions to improving access to health care"@en . . "List factors important in determining accessibility to health care; Review different approaches used to model accessibility to healthcare; Describe approaches useful for examining access to healthcare based on distance, time and cost;Explain the map algebra concepts; Evaluate disparities of accessibility to health care; Propose solutions to improving access to health care"@en . . "https://ltb.itc.utwente.nl/page/792/concept/152728" . . "GIS"@en . . . . . . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152735" . . "Citizen-science"@en . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152748" . . "Dashboard analytics"@en . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152796" . . "Malaria"@en . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152834" . . "Cholera"@en . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152887" . . "Ethics"@en . . . . . . . "https://ltb.itc.utwente.nl/page/792/concept/152889" . . "Accessibility"@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 . . . "ArcGIS Dashboard "@en . . . "ArcGISPro "@en . . . "GeoDa"@en . . . "R"@en . . . "SatScan "@en . . . "Course"@en . "202100001" . "EOS_0001" . "5"^^ . "140"^^ . "10"^^ . "2023-02-02T23:00:00Z"^^ . "online" . "Readings: lecture notes and readings,\n\nWeekly quizzes, discussions and projects.\n\nInteractive peer-review\n\nIndividual term project where the student selects a topic and use what they learn during the course to the topic."@en . "Students should have some data science, statistics background. GIS and remote sensing background is a benefit. This course is currently an elective with the aim to be the first course in the geohealth specialization. ,All students in Geoinformatics specialization are accepted. Students following other specializations should have a background in one or more of the following: data science, epidemiology, statistics, health sciences or public health."@en . "4"^^ . "2" . "1B " . "2022-11-13T23:00:00Z"^^ . "Geohealth integrates epidemiology with spatial data science. During the course students will be introduced to different spatial analysis methods, spatial data science methods and spatial concepts useful for the analysis of health and disease. These include the collection and use of geographic information, mapping of disease incidence and understanding where, when, why and how disease incidences may be occurring."@en . "Geo-Health 1"@en . "Geo-Health 1"@en . "Geo