| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| HEALTH DATA INTEGRATION |
 
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| IDENTIFYING DATA | 2023_24 | |||||||||||||||||
| Subject (*) | HEALTH DATA INTEGRATION | Code | 17705123 | |||||||||||||||
| Study programme |
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Cycle | 2nd | |||||||||||||||
| Descriptors | Credits | Type | Year | Period | Exam timetables and dates | |||||||||||||
| 3 | Compulsory | Second | 2Q |
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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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salva.capella@urv.cat alfonso.valencia@urv.cat davide.cirillo@urv.cat |
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| Lecturers |
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| Web | ||||||||||||||||||
| General description and relevant information |
The course delves into the integration of omics and phenotypic information systems, focusing on analysis environments tailored for genetic diseases, cancer, and complex diseases. Students will explore disease trajectory analysis, enabling a comprehensive understanding of disease progression and its implications. This course is coordinated by researchers at Barcelona Supercomputer Center. |
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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. | ||||||||||||||||||
