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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Computer Vision I |
| Learning aims |
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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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| Learning outcomes | Study programme competences | ||
| Know and understand the fundamental characteristics of the digital image and its forms of representation. Know, understand and know how to apply digital image processing techniques. Know, understand and know how to apply digital image analysis techniques. Ability to apply different techniques to computer vision problems. | AC23 AC24 AC25 AC26 |
BC1 BC3 BC5 BC6 BC7 BC10 |
CC2 CC3 CC8 |
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