|
Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Bioinformática para Ciencias da Saúde |
 Subjects |
| Foundations of Artificial Intelligence |
| Planning |
|
|
| Identifying Data | 2020/21 | |||||||||||||
| Subject | Foundations of Artificial Intelligence | Code | 614522003 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Optional | 6 | ||||||||||
|
||||||||||||||
| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Workshop | B2 B6 B7 C6 C1 | 12 | 36 | 48 |
| Supervised projects | B2 B6 B7 C1 C6 | 12 | 36 | 48 |
| Guest lecture / keynote speech | A2 A3 A4 B1 | 14 | 28 | 42 |
| Personalized attention | 12 | 0 | 12 | |
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||
|
