Educational guide School of Engineering |
english |
Bachelor's Degree in Computer engineering (2010) |
Subjects |
ARTIFICIAL INTELLIGENCE |
Assessment |
IDENTIFYING DATA | 2020_21 |
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 | |||||
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. 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 mobiles or electronic devices in evaluation acts is not allowed. |