| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| HEALTH DATA VISUALIZATION AND COMMUNICATION |
| Competences |
| 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 |
| Type A | Code | Competences Specific |
| CE4 | CE4. Manage and implement statistical, machine learning and visualization techniques to extract information from health data and critically evaluate the results obtained from them. | |
| CE5 | CE5. Apply data science to multidisciplinary projects based on data derived from clinical imaging, biomedical instrumentation, -omics technologies and/or epidemic monitoring in order to assist medical diagnosis and public health decision-making. | |
| Type B | Code | Competences Transversal |
| Type C | Code | Competences Nuclear |
