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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Computer Vision II |
| Learning aims |
| 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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| Learning outcomes | Study programme competences | ||
| To know and to know how to use advanced image analysis techniques | AC24 AC25 |
BC1 BC3 BC6 BC10 |
CC4 CC8 |
| To know and to know how to use advanced image processing techniques | AC23 AC24 |
BC1 BC3 BC6 BC10 |
CC4 CC8 |
| To know how to analyse, design and develop solutions based on advances image processing and analysis techniques | AC24 AC26 |
BC5 BC7 |
CC3 |
| To know how to evaluate the suitability of the methodologies applied in specific problems | AC24 AC25 |
BC6 BC7 |
CC3 |
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