| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| HEALTH DATA VISUALIZATION AND COMMUNICATION |
 
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| IDENTIFYING DATA | 2023_24 | |||||||||||||||||
| Subject (*) | HEALTH DATA VISUALIZATION AND COMMUNICATION | Code | 17705119 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
| 4.5 | Compulsory | Second | 1Q |
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| Modality and teaching language | See working groups | |||||||||||||||||
| Prerequisites | ||||||||||||||||||
| Department | Electronic, Electric and Automatic Engineering |
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| Coordinator |
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maria.vinaixa@urv.cat ester.vilaprinyo@urv.cat alfredo.vellido@urv.cat caroline.konig@urv.cat |
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| Lecturers |
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| Web | ||||||||||||||||||
| General description and relevant information |
An introduction to data visualization principlea and practicalities and its application to exploratory data analysis. Scientific figures design and dashboard applications. Interpretability and explainability of machine learning models through data visualization with a focus on health data analysis. This course is coordinated by Universitat Politècnica de Catalunya in collaboration with Universitat Rovira i Virgili (Dept. Enginyeria Electrònica, Elèctrica i Automàtica) and Universitat de Lleida. |
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| (*)The teaching guide is the document in which the URV publishes the information about all its courses. It is a public document and cannot be modified. Only in exceptional cases can it be revised by the competent agent or duly revised so that it is in line with current legislation. | ||||||||||||||||||
