| Educational guide School of Engineering |
english |
| Bachelor's Degree in Computer engineering (2010) |
 Subjects |
| ARTIFICIAL INTELLIGENCE |
| Learning outcomes |
| IDENTIFYING DATA | 2017_18 |
| Subject | ARTIFICIAL INTELLIGENCE | Code | 17234128 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Compulsory | Fourth | 1Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Type A | Code | Learning outcomes |
| CM15 |
List and describe the basic techniques of intelligent systems. | |
| CP3 |
Know basic search and problem solving algorithms in IA. | |
| CP4 |
Understand the different focusses of IA. Know how to apply basic IA methods in the resolution of specific problems. | |
| CP5 |
Know basic techniques for the representation of knowledge in intelligent systems. | |
| CP7 |
Know basic methods of automatic learning. | |
| Type B | Code | Learning outcomes |
| Type C | Code | Learning outcomes |
