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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Computer Vision II |
| Planning |
| Identifying Data | 2022/23 | |||||||||||||
| Subject | Computer Vision II | Code | 614544018 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Optional | 6 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Laboratory practice | A25 B1 B3 B7 C3 | 14 | 42 | 56 |
| Research (Research project) | A25 A26 B5 B7 C3 | 7 | 35 | 42 |
| Mixed objective/subjective test | A24 A27 B1 B7 | 2 | 0 | 2 |
| Guest lecture / keynote speech | A24 A27 B1 B6 B10 C4 C8 | 21 | 21 | 42 |
| Personalized attention | 8 | 0 | 8 | |
| (*)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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