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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Visión por Computador |
 Subjects |
| Advanced Machine Learning for Computer Vision |
| Planning |
| Identifying Data | 2020/21 | |||||||||||||
| Subject | Advanced Machine Learning for Computer Vision | Code | 614535008 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 2nd four-month period |
First | Obligatory | 6 | ||||||||||
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| Methodologies / tests | Competencies | Ordinary class hours | Student’s personal work hours | Total hours |
| Guest lecture / keynote speech | A2 B1 B2 B5 B6 B8 B10 B11 C2 C1 | 10 | 20 | 30 |
| Case study | A2 B1 B2 B5 B6 B8 B10 B11 C1 C2 | 4 | 16 | 20 |
| Objective test | A2 B1 B2 B5 B6 B8 B10 B11 C1 C2 | 2 | 0 | 2 |
| Laboratory practice | A2 B1 B2 B5 B6 B8 B10 B11 C1 C2 | 16 | 32 | 48 |
| Research (Research project) | A2 B1 B2 B5 B6 B8 B10 B11 C2 C1 | 10 | 40 | 50 |
| Personalized attention | 0 | 0 | 0 | |
| (*)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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