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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Computer Vision II |
| Methodologies |
| 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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| Methodologies | Description |
| Laboratory practice | Analysis and resolution of practical cases using techniques learned in lectures. |
| Research (Research project) | Proposal of assignments in image analysis that require to identify the problem, to formulate it precisely, to develop suitable procedures, to interpret the results and to extract appropriate conclusions about the work. |
| Mixed objective/subjective test | Test with questions about the theoretical contents of the subject as well as practical problems. |
| Guest lecture / keynote speech | Oral presentation using audiovisual material and student interaction designed to transmit knowledge and encourage learning. |
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