. . . "Course"@en . "EOS_0001" . "GeoHealth Course"@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. Peer-review 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. Peer-review 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 . . . "List factors important in understanding the ecology of vector-borne diseases; Examine the epidemiologic triad for different vector-borne diseases;Examine different methods of complexity used to map and model vector-borne diseases; Explain theoretical approaches and how overlay methods and raster-based modeling approaches can be used; Describe the epidemiologic triad for malaria;Apply complex map algebra operations to model risk of vector-borne disease - malaria; Describe how these outputs are useful for public health response."@en . . "List factors important in understanding the ecology of vector-borne diseases; Examine the epidemiologic triad for different vector-borne diseases;Examine different methods of complexity used to map and model vector-borne diseases; Explain theoretical approaches and how overlay methods and raster-based modeling approaches can be used; Describe the epidemiologic triad for malaria;Apply complex map algebra operations to model risk of vector-borne disease - malaria; Describe how these outputs are useful for public health response."@en . . . "Same as LO7"@en . . "Same as LO7"@en . . . "Identify data sources useful for exploring health and disease outcomes; Explain why spatial data is special and limitations associated with spatial data ;Distinguish and critique between authoritative vs. non-authoritiative data sources; Explain privacy and ethical concerns associated with mapping and using health and disease data; Explore technologies and assess how these can be used for collecting health and disease data"@en . . "Identify data sources useful for exploring health and disease outcomes; Explain why spatial data is special and limitations associated with spatial data ;Distinguish and critique between authoritative vs. non-authoritiative data sources; Explain privacy and ethical concerns associated with mapping and using health and disease data; Explore technologies and assess how these can be used for collecting 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; Assess how (geo)visualizations can be useful for examining disease."@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; Assess how (geo)visualizations can be useful for examining disease."@en . . . "Explain Epidemic theory; Identify what surveillance data are important; List the steps important in an outbreak investigation; Describe the spatial tools that are useful at each of these steps; Identify data limitations during a crisis (pandemic)-response situation; Analyze and describe the spread of an outbreak/pandemic and distribution of human cases; Critique analytical outputs and data visualizations and evaluate their usefulness in assessing and communicating risk; Create an interactive outbreak map that would be useful for communicating risk; Evaluate the usefulness of web maps in communicating risk during an on-going outbreak"@en . . "Explain Epidemic theory; Identify what surveillance data are important; List the steps important in an outbreak investigation; Describe the spatial tools that are useful at each of these steps; Identify data limitations during a crisis (pandemic)-response situation; Analyze and describe the spread of an outbreak/pandemic and distribution of human cases; Critique analytical outputs and data visualizations and evaluate their usefulness in assessing and communicating risk; Create an interactive outbreak map that would be useful for communicating risk; Evaluate the usefulness of web maps in communicating risk during an on-going outbreak"@en . . . "Describe how geospatial information, technologies and spatial analysis methods can be used in health and disease studies; apply spatial analysis methods to describe health risks"@en . . "Describe how geospatial information, technologies and spatial analysis methods can be used in health and disease studies; apply spatial analysis methods to describe health risks"@en . . . "Present individual term-project and peer-evaluate term project"@en . . "Present individual term-project and peer-evaluate term project"@en . . . "Complete analysis and write-up of individual term-project."@en . . "Complete analysis and write-up of individual term-project."@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 . . . . . . . . . . . "Core_0003" . . "Geospatial analysis and interpretation"@en . "202001458" . "CORE_0003" . "5"^^ . "140"^^ . "4"^^ . "2022-11-10T23:00:00Z"^^ . "f2f" . "The course mainly consists of a mix of lectures, practicals and self-study time. Lectures are used to introduce concepts and theory. The practicals provide an illustration of the introduced concepts and also allow you the develop practical skills. They consist of a supervised part, to help you start up practical activities and to discuss the results, and an unsupervised part for self-directed learning and skills development. Topics are usually finalised with plenary wrap-up sessions in which conceptual and practical issues are dealt with.\n\nExercise instructions used in the practicals are task oriented, thus requiring a more active and self-supporting attitude from you. This also helps you to prepare for the planning and execution of project assignments that you will carry out later on in the course programme at ITC. In the year 2021 we will consider QGIS as the software of choice for majority of the practicals and assignments."@en . . . . "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 . . "14"^^ . "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 . "Geospatial analysis and interpretation"@en . "Geospatial analysis and interpretation"@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 . . . "ArcGISPro "@en . . . "GeoDa"@en . . . "ArcGIS Dashboard "@en . "OpenLISEM Hazard"@en . . . "R"@en . . . "SatScan "@en . "202100310" . "EOS_0002" . "7"^^ . "196"^^ . "10"^^ . "2023-07-06T22:00:00Z"^^ . "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"^^ . "4" . "2B " . "2023-04-23T22:00:00Z"^^ . "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 2"@en . "Geo-Health 2"@en . "Geo