| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| HEALTH DATA VISUALIZATION AND COMMUNICATION |
| Assessment |
| IDENTIFYING DATA | 2023_24 |
| Subject | HEALTH DATA VISUALIZATION AND COMMUNICATION | Code | 17705119 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 4.5 | Compulsory | Second | 1Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Methodologies | Competences | Description | Weight | ||||
| IT-based practicals |
|
Three practical exercises | 80% | ||||
| Presentations / oral communications |
|
One presentation | 10% | ||||
| Others | Class participation |
10% |
| Other comments and second exam session | |||
|
Possibility of delivery of practical exercises after the deadline, at the end of the course, but with a maximum grade of 6 |
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