| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| MEDICAL IMAGING |
| Assessment |
| IDENTIFYING DATA | 2022_23 |
| Subject | MEDICAL IMAGING | Code | 17705104 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 4.5 | Compulsory | First | 1Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Methodologies | Competences | Description | Weight | ||||
| IT-based practicals |
|
The lecturer proposes a series of practices that the student must submit within the period indicated by the lecturer. Practices are assessed with a grade from 0 to 10. If the student does not deliver a practice within the indicated period, he / she obtains a 0 in this practice. The grade for this part will be a weighted average of all deliveries. |
50 | ||||
| Presentations / oral communications |
|
Students will do a presentation from a list of research papers proposed by the lecturers. Each presentation will be evaluated by a panel of at least 2 lecturers of the module. | 20 | ||||
| Multiple-choice objective tests |
|
There will be a test at the end of each block to assess the achievement of the knowledge worked on in theory by the students. The grade for this part is the average of all the questionnaires. |
30 | ||||
| Others |
| Other comments and second exam session | |||
|
A student is considered approved if his/her mark is greater or equal to 5.0. Otherwise, the student will have to do additional activities defined by the lecturers of the module with a penalty over the final mark. |
|||
