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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Visión por Computador |
 Subjects |
| Image Description and Modeling |
| Methodologies |
| Identifying Data | 2020/21 | |||||||||||||
| Subject | Image Description and Modeling | Code | 614535004 | |||||||||||
| Study programme |
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| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Obligatory | 6 | ||||||||||
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| Methodologies | Description |
| Guest lecture / keynote speech | Participatory lessons with the aim of learning the theoretical content of the subject |
| Case study | Elaboration and presentation of selected state-of-the-art methodologies related to the subject. |
| Objective test | Continuous self-evaluation tests during the course. Evaluation by examination at the end of the course as an alternative. |
| Laboratory practice | Analysis and resolution of practical cases with the aim of strengthening the practical application of the theoretical content. Practice in computer classrooms, learning based on the resolution of practical cases, autonomous work and independent study of the students, and group work and cooperative learning. |
| Research (Research project) | Learning based on the resolution of practical cases, autonomous work and independent study of the students, and group work and cooperative learning. |
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