| Educational guide School of Engineering |
english |
| Degree of Computer engineering (2010) |
 Subjects |
| ARTIFICIAL INTELLIGENCE |
| Assessment |
| IDENTIFYING DATA | 2014_15 |
| 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 |
| Methodologies | Competences | Description | Weight | ||||||
| Practicals using information and communication technologies (ICTs) in computer rooms |
|
Development of practical exercises where AI techniques are applied. |
45% | ||||||
| Objective short-answer tests |
|
Written exams with short questions about the basic methods used in AI. | 55% | ||||||
| Others |
| Other comments and second exam session | |||
|
The second call will have the same evaluation than the first one. The evaluation will be the same for all students, regardless if the course is obligatory/optional for them. The students of AI (ETIS/ETIG, in extinction) will also follow the same evaluation. |
|||
