Educational guide School of Engineering |
english |
Computer Security Engineering and Artificial Intelligence (2016) |
Subjects |
ARTIFICIAL VISION AND PATTERN RECOGNITION |
Assessment |
IDENTIFYING DATA | 2021_22 |
Subject | ARTIFICIAL VISION AND PATTERN RECOGNITION | Code | 17685105 | |||||
Study programme |
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Cycle | 2nd | |||||
Descriptors | Credits | Type | Year | Period | ||||
4.5 | Compulsory | First | 1Q |
Competences | Learning outcomes | Contents |
Planning | Methodologies | Personalized attention |
Assessment | Sources of information | Recommendations |
Methodologies | Competences | Description | Weight | ||||||||||
IT-based practicals in computer rooms |
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Elaboration by the students of practical work related to the main topics of the course using the tools of computer vision explained in the practical classes. Elaboration of a report. | 40 | ||||||||||
Presentations / oral communications |
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Students perform in groups of 2 people some analyses and research tasks related to the main themes of the course. Preparation of a report. Oral presentation. Final evaluation by the teacher. | 20 | ||||||||||
Extended-answer tests |
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Extended-answer tests | 20 | ||||||||||
Short-answer objective tests |
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Objective short-answer tests | 20 | ||||||||||
Others |
Other comments and second exam session | |||
Students who fail the continuous assessment can recover parts suspended or not presented in the second call. In all written examinations can not bring any electronic device. |