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Teaching GuideTerm Faculty of Computer Science |
| Máster Universitario en Intelixencia Artificial |
 Subjects |
| Computer Vision I |
| Assessment |
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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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| Methodologies | Competencies | Description | Qualification |
| Guest lecture / keynote speech | A24 A25 A26 A27 B1 B3 B5 B6 B7 B10 C2 C3 C8 | The part related to the presentation of the master sessions will be evaluated through written tests and/or through the continuous evaluation of laboratory practices, which will evaluate the adequacy of the proposed solutions to the problems, the quality of the results obtained and the understanding of the techniques used. | 40 |
| Case study | A24 A25 A26 A27 B1 B3 B5 B6 B7 B10 C2 C3 C8 | Resolution of case studies. The adequacy of the proposed solutions to the problems, the quality of the results obtained and the understanding of the techniques used will be assessed. | 60 |
| Assessment comments | |||
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All assignment and test notes will be retained until the second chance. There the students will be able to repeat some of the assessment activities. The final grade will be the one calculated taking into account the maximum marks between the corresponding activities in both opportunities. A student will be classified as Absent if he / she does not present any assessment exercise or take any test at any of the opportunities. The total or partial copy of any exercise of practice or theory will suppose a fail in both occasions of the course, with a qualification of 0,0 in both cases. |
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