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Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Bioinformática para Ciencias da Saúde |
 Subjects |
| Foundations of Artificial Intelligence |
| Planning |
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| Identifying Data | 2019/20 | |||||||||||||
| Subject | Foundations of Artificial Intelligence | Code | 614522003 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Optional | 6 | ||||||||||
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| Methodologies / tests | Competencies / Results | Teaching hours (in-person & virtual) | Student’s personal work hours | Total hours |
| Workshop | B2 B6 B7 C1 C6 | 15 | 45 | 60 |
| Supervised projects | B2 B6 B7 C1 C6 | 12 | 36 | 48 |
| Guest lecture / keynote speech | A2 A3 A4 B1 | 14 | 28 | 42 |
| Personalized attention | 0 | 0 | ||
| (*)The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. | ||||
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