Teaching GuideTerm Faculty of Computer Science |
Máster Universitario en Intelixencia Artificial |
Subjects |
Computer Vision I |
Planning |
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Identifying Data | 2022/23 | |||||||||||||
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 / Results | Teaching hours (in-person & virtual) | 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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