| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| TEXT MINING FOR HEALTHCARE |
| Planning |
| IDENTIFYING DATA | 2023_24 |
| Subject | TEXT MINING FOR HEALTHCARE | Code | 17705118 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 3 | Compulsory | Second | 1Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Methodologies :: Tests | ||||||||||
| Competences | (*) Class hours |
Hours outside the classroom |
(**) Total hours | |||||||
| Introductory activities |
|
1.5 | 0 | 1.5 | ||||||
| Lecture |
|
12 | 10 | 22 | ||||||
| IT-based practicals |
|
10 | 40 | 50 | ||||||
| Personal attention |
|
0.5 | 1 | 1.5 | ||||||
| (*) On e-learning, hours of virtual attendance of the teacher. (**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||||||||
