| Educational guide School of Engineering |
english |
| Degree of Computer engineering (2010) |
 Subjects |
| ARTIFICIAL INTELLIGENCE |
| Methodologies |
| IDENTIFYING DATA | 2014_15 |
| Subject | ARTIFICIAL INTELLIGENCE | Code | 17234215 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Optional | 1Q |
||||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Description | |
| Introductory activities | Presentation of the course. Content, practical exercises, bibliography, evaluation method. |
| Lecture | Exposition of the contents of the course. |
| Practicals using information and communication technologies (ICTs) in computer rooms | Resolution of specific problems in the lab using the basic AI techniques explained in the lectures. |
| Personal tuition | Personal attention to solve doubts concerning the theoretical concepts or the practical exercises. |
