| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) |
 Subjects |
| NEURONAL AND EVOLUTIONARY COMPUTING |
| Planning |
| IDENTIFYING DATA | 2022_23 |
| 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 :: Tests | ||||||||||
| Competences | (*) Class hours |
Hours outside the classroom |
(**) Total hours | |||||||
| Introductory activities |
|
1 | 0 | 1 | ||||||
| Lecture |
|
28 | 3 | 31 | ||||||
| IT-based practicals in computer rooms |
|
10 | 2 | 12 | ||||||
| IT-based practicals |
|
1 | 64 | 65 | ||||||
| Personal attention |
|
1 | 0 | 1 | ||||||
| Oral tests |
|
1 | 1.5 | 2.5 | ||||||
| (*) 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. | ||||||||||
