Open University

Tampere

Information Analytics and Visualisation, Lectures

Contact information Email: open.studies.tau [at] tuni.fi Phone: 0294 520 200More information concerning Open University studies <a href="https://www.tuni.fi/open-university">tuni.fi/open-university</a>

Advanced studies

Faculty of Information Technology and Communication Sciences

Data Processing and Information Technology

Apply for Open University studies by using the following links:<ul><li><a href="https://tau-avoin.ilmoittaudu.fi/lobby/?realization=J-otm-c029ebb2-e461-401f-8368-9239305c2efc_2023-tampere-HTI550" target="_blank">HTI.550 Information Analytics and Visualisation, lectures, Tampere</a></li></ul>You can find a link to the Open University Admissions service and application instructions on the <a href="https://www.tuni.fi/en/study-with-us/open-higher-education-studies/open-university/applying-open-university">Applying to Open University studies</a> page.Some of the studies require prior studies. For example, studying intermediate studies may require some completed basic studies. These are described on the Information about studies tab of the study unit under prior requirements.When you have been admitted to the studies, you must enrol separately via the Sisu information system for the implementation of the unit of study and, for example if set, for a practise group of your choice. You will receive instructions on how to do this by e-mail after you have confirmed your acceptance of the study place by paying the required fee.

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City Centre Campus

Contact teaching

Look information at <a href="https://www.tuni.fi/en/study-with-us/open-higher-education-studies/open-university/applying-open-university">Applying to Open University studies</a>.

- Principles of information visualization - Interactive visualization techniques - Spoken, auditory, haptic and olfactory information presentation - Domain specific visualizations- Advanced visualization techniques, such as XR and AI - Accessible information visualization

<h2>Common</h2><h3>Blended Learning: </h3>10.01.2024 13:00 - 16:00, TAU Sähkötalo SB100 Digiport PedaLab (15) 10.01.2024 13:00 - 16:00, TAU Pinni B4125 Digiport (18) 31.01.2024 13:00 - 16:00, TAU Sähkötalo SB100 Digiport PedaLab (15) 31.01.2024 13:00 - 16:00, TAU Pinni B4125 Digiport (18) 21.02.2024 13:00 - 16:00, TAU Sähkötalo SB100 Digiport PedaLab (15) 21.02.2024 13:00 - 16:00, TAU Pinni B4125 Digiport (18) 13.03.2024 13:00 - 16:00, TAU Sähkötalo SB100 Digiport PedaLab (15) 13.03.2024 13:00 - 16:00, TAU Pinni B4125 Digiport (18) 24.04.2024 13:00 - 16:00, TAU Sähkötalo SB100 Digiport PedaLab (15) 24.04.2024 13:00 - 16:00, TAU Pinni B4125 Digiport (18) 15.05.2024 13:00 - 16:00, TAU Sähkötalo SB100 Digiport PedaLab (15) 15.05.2024 13:00 - 16:00, TAU Pinni B4125 Digiport (18)

Upon completion of the course, the student will<ul><li>know the most common information visualization techniques</li><li>know the most common alternative techniques for information presentation</li><li>be familiar with advanced information presentation techniques (XR and AI)</li><li>know how accessible information visualizations can be designed</li><li>be able to design and evaluate interactive visualizations for real-world problems.</li></ul>

Information Analytics and Visualisation, Lectures

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Information Analytics and Visualisation, 5 cr

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Information Analytics and Visualisation, Lectures