Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Computer Vision II |
Planning |
Identifying Data | 2023/24 | |||||||||||||
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 / Results | Teaching hours (in-person & virtual) | 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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