| Educational guide School of Engineering |
english |
| Biomedical Data Science (2022) |
 Subjects |
| COMPUTER-AIDED DIAGNOSIS AND DECISION MAKING |
| Assessment |
| IDENTIFYING DATA | 2023_24 |
| Subject | COMPUTER-AIDED DIAGNOSIS AND DECISION MAKING | Code | 17705116 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 4.5 | Compulsory | Second | 1Q |
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| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Methodologies | Competences | Description | Weight | ||||
| PBL (Problem Based Learning) |
|
Four statements. The grading criteria for each problem will be described in the statement. | 40 | ||||
| IT-based practicals in computer rooms |
|
Two exercises. The grading criteria for each exercise will be described in the statement. | 30 | ||||
| Short-answer objective tests |
|
Short questions that assess the achievement of the contents of the subject. | 30 | ||||
| Others |
| Other comments and second exam session | |||
|
Possibility of delivery the report of each activity (TIC and PBL practices) after the deadline, at the end of the course, but with a maximum grade of 6. |
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