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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| AI Fundamentals |
| Planning |
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| Identifying Data | 2022/23 | |||||||||||||
| Subject | AI Fundamentals | Code | 614544001 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Obligatory | 3 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Laboratory practice | A5 A17 B1 B2 B3 B4 B5 B6 B7 B8 C2 C3 C4 C6 C7 C8 C9 | 7 | 21 | 28 |
| Problem solving | A5 A17 B1 B2 B3 B4 B5 B6 B7 B8 C2 C3 C4 C6 C7 C8 C9 | 4 | 23 | 27 |
| Guest lecture / keynote speech | A5 A17 B1 B2 B3 B4 B5 B6 B7 B8 C2 C3 C4 C6 C7 C8 C9 | 10 | 9 | 19 |
| 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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