| Educational guide School of Engineering |
english |
| Bachelor's Degree in Computer engineering (2010) |
 Subjects |
| ARTIFICIAL INTELLIGENCE |
| Learning outcomes |
| 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 |
| 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. | |
| Type B | Code | Learning outcomes |
| B5 |
Know the ethical implications of intelligent systems. | |
| CT1 |
Manage and communicate information clearly and effectively. | |
| CT7 |
Understand the inequalities and the discrimination that occur between women and men and understand the reasons that account for them. Be able to identify major environmental problems. Recognise and reflect on social needs and problems and get involved in improving the community. Recognise the ethical and deontological concepts in their field of expertise, show an ability for criticism and dialogue, and respect the rules and regulations that members of the university community must abide by. | |
| Type C | Code | Learning outcomes |
