This course is offered through the Network for Doctoral Studies. These studies are available for doctoral degree students studying in the University of Jyväskylä.
","fi":"Tämä opintojakso on tarjolla tohtorikoulutusverkostossa. Verkoston opinnot ovat tarjolla Jyväskylän yliopiston tohtoriopiskelijoille.
"},"cooperationNetwork":{"abbreviation":"doc-courses","name":{"en":"National doctoral courses","fi":"Kansalliset tohtoriopinnot","sv":"National doctoral courses"}}}],"gradeScaleId":"sis-hyl-hyv","outcomes":{"en":"ILO1: Implement classic data visualizations in hydrological sciences, using modern data sources and programming tools.\r\nILO2: Apply principles of graphic design, grammar of graphics, and human perception to data visualizations in hydrological sciences (including graphs, maps, composite figures, graphical abstracts, dashboards, and interactive engagement tools) \r\nILO3: Evaluate and select among the software options for data visualization for various applications\r\nILO4: Apply principles of universal design to create accessible data visualizations.\r\nILO5: Describe some examples of interactive data storytelling and how they can be used to engage stakeholders in research, design, planning, and fabulation","fi":"ILO1: Implement classic data visualizations in hydrological sciences, using modern data sources and programming tools.\r\nILO2: Apply principles of graphic design, grammar of graphics, and human perception to data visualizations in hydrological sciences (including graphs, maps, composite figures, graphical abstracts, dashboards, and interactive engagement tools) \r\nILO3: Evaluate and select among the software options for data visualization for various applications\r\nILO4: Apply principles of universal design to create accessible data visualizations.\r\nILO5: Describe some examples of interactive data storytelling and how they can be used to engage stakeholders in research, design, planning, and fabulation"},"tweetText":null,"content":{"en":"Lecture topics will be:\r\n- Day 1: Wilkinson’s Grammar of Graphics and its application to classic data visualizations in hydrologic sciences (time-series plots, maps, and statistical plots)\r\n- Day 2: Universal design for accessible data visualizations\r\n- Day 3: Software tools for data visualization, illustration, composite figures, and graphical abstracts\r\n- Day 4 and 5: Interactive Data Storytelling with fabulation, temporal ontologies, and games","fi":"Lecture topics will be:\r\n- Day 1: Wilkinson’s Grammar of Graphics and its application to classic data visualizations in hydrologic sciences (time-series plots, maps, and statistical plots)\r\n- Day 2: Universal design for accessible data visualizations\r\n- Day 3: Software tools for data visualization, illustration, composite figures, and graphical abstracts\r\n- Day 4 and 5: Interactive Data Storytelling with fabulation, temporal ontologies, and games"},"additional":{"en":"The course can be completed for 1–3 ECTS credits. Students may enroll in one, two, or three teaching groups (1 ECTS credit each), earning a total of 1–3 ECTS credits:\r\n \r\nHistory and Practice of Water Data Visualization (1 ECT) \r\nLearn about the principles of water data visualization. Lectures and exercises will cover the history of data visualization, selecting visualization tools, cartography, principles of accessibility, and techniques for engagement through interactive visualization. To earn this credit, attend the class sessions 7, 8, and 9 October and submit a lab exercise for each day before 30.10. Instructors will be Dr. Ritesh Patro of the University of Oulu, Dr. Tua Nylèn of the University of Turku, and Dr. Elsa Culler of the University of Oulu. \r\n \r\nInteractive Water Data Storytelling (1 ECT) \r\nUse principles of user-oriented design and human-computer interaction to develop innovative methods for interactive data storytelling. Many aspects of water data are difficult to engage with using conventional methods. As examples, representing data across multiple scales of space and time and incorporating tacet or traditional knowledge structures are wicked problems in water data visualization. To earn this credit, attend the class sessions on 15 and 16 October and submit lab exercises for each day before 6.11. Instructors will be Professor Valentina Nisi and Professor Nuno Jardim Nunes from the University of Lisbon. \r\n \r\nIndependent Data Visualization project (1 ECT) \r\nComplete a water data visualization project in which you use principles or techniques learned in the class sessions to enhance your work. Ideally the project will relate to a paper or dissertation you are currently writing as the goal is to focus on the visualization rather than the analysis. Though we are focusing on Water Data in this class, there is no requirement that the project be water-related, as long as the work draws from the class material. You will also submit a short reflection essay explaining how your approach was changed by a principle or framework from the class. To earn this credit, submit your project and reflection before 13.11.","fi":"The course can be completed for 1–3 ECTS credits. Students may enroll in one, two, or three teaching groups (1 ECTS credit each), earning a total of 1–3 ECTS credits:\r\n \r\nHistory and Practice of Water Data Visualization (1 ECT) \r\nLearn about the principles of water data visualization. Lectures and exercises will cover the history of data visualization, selecting visualization tools, cartography, principles of accessibility, and techniques for engagement through interactive visualization. To earn this credit, attend the class sessions 7, 8, and 9 October and submit a lab exercise for each day before 30.10. Instructors will be Dr. Ritesh Patro of the University of Oulu, Dr. Tua Nylèn of the University of Turku, and Dr. Elsa Culler of the University of Oulu. \r\n \r\nInteractive Water Data Storytelling (1 ECT) \r\nUse principles of user-oriented design and human-computer interaction to develop innovative methods for interactive data storytelling. Many aspects of water data are difficult to engage with using conventional methods. As examples, representing data across multiple scales of space and time and incorporating tacet or traditional knowledge structures are wicked problems in water data visualization. To earn this credit, attend the class sessions on 15 and 16 October and submit lab exercises for each day before 6.11. Instructors will be Professor Valentina Nisi and Professor Nuno Jardim Nunes from the University of Lisbon. \r\n \r\nIndependent Data Visualization project (1 ECT) \r\nComplete a water data visualization project in which you use principles or techniques learned in the class sessions to enhance your work. Ideally the project will relate to a paper or dissertation you are currently writing as the goal is to focus on the visualization rather than the analysis. Though we are focusing on Water Data in this class, there is no requirement that the project be water-related, as long as the work draws from the class material. You will also submit a short reflection essay explaining how your approach was changed by a principle or framework from the class. To earn this credit, submit your project and reflection before 13.11."},"prerequisites":{"en":"Some experience with a scientific programming language such as R or Python recommended. 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