| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) |
 Subjects |
| NEURONAL AND EVOLUTIONARY COMPUTING |
| Assessment |
| IDENTIFYING DATA | 2021_22 |
| Subject | NEURONAL AND EVOLUTIONARY COMPUTING | Code | 17685106 | |||||
| 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 |
|
Between four and five practical works, with a total weight 90% | 90% | |||||
| Oral tests |
|
Exposition of a work, weighted 10% | 10% | |||||
| Others |
| Other comments and second exam session | |||
|
Second call: practical exercises 100% |
|||
