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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| AI in Health |
| Planning |
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| Identifying Data | 2023/24 | |||||||||||||
| Subject | AI in Health | Code | 614544022 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
Second | Optional | 3 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| ICT practicals | A8 A9 A14 A16 A20 A21 A28 A29 A31 A30 B10 C9 | 8 | 8 | 16 |
| Guest lecture / keynote speech | A8 A9 A10 A14 B1 B2 B4 B5 B9 B10 C5 C8 | 12 | 12 | 24 |
| Objective test | A8 A9 A10 A15 A20 A22 A28 A29 A30 B1 B4 B5 C5 C8 C9 | 1 | 23 | 24 |
| Seminar | A8 A10 A15 A22 A23 B6 B7 B9 C5 C8 | 5 | 5 | 10 |
| Personalized attention | 1 | 0 | 1 | |
| (*)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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