| Educational guide School of Engineering |
english |
| Bachelor's Degree in Computer engineering (2010) |
 Subjects |
| ARTIFICIAL INTELLIGENCE |
| Assessment |
| IDENTIFYING DATA | 2023_24 |
| Subject | ARTIFICIAL INTELLIGENCE | Code | 17234215 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Optional | Fourth | 1Q |
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| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Methodologies | Competences | Description | Weight | |||||
| IT-based practicals in computer rooms |
|
Development of practical exercises where AI techniques are applied. |
50% | |||||
| Short-answer objective tests |
|
Written exams with short questions about the basic methods used in AI. | 50% | |||||
| Others |
| Other comments and second exam session | |||
|
It is necessary that the practical exercises are accepted, and the theoretical exams must be passed. Grade: 50% theory, 50% practical exercises. 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 use of mobile or electronic devices in evaluation acts is not allowed. |
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