| Educational guide School of Engineering |
english |
| Bachelor's Degree in Computer engineering (2010) |
 Subjects |
| ARTIFICIAL INTELLIGENCE |
| Methodologies |
| IDENTIFYING DATA | 2023_24 |
| Subject | ARTIFICIAL INTELLIGENCE | Code | 17234134 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Compulsory | Third | 2Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Description | |
| Introductory activities | Course presentation: content, practical exercises, bibliography, evaluation mechanism. |
| Lecture | Exposition of the course contents. |
| IT-based practicals in computer rooms | Resolution of specific problems in the lab using the basic AI techniques described in the lectures. |
| Personal attention | Resolution of doubts about the theory or the practical exercises. |
