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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Computer Vision I |
| Planning |
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| Identifying Data | 2023/24 | |||||||||||||
| Subject | Computer Vision I | Code | 614544017 | |||||||||||
| 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 |
| Guest lecture / keynote speech | A24 A25 A26 A27 B1 B3 B5 B6 B7 B10 C2 C3 C8 | 10 | 22 | 32 |
| Laboratory practice | A24 A25 A26 A27 B1 B3 B5 B6 B7 B10 C2 C3 C8 | 7 | 21 | 28 |
| Case study | A24 A25 A26 A27 B1 B3 B5 B6 B7 B10 C2 C3 C8 | 4 | 10 | 14 |
| 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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