| Educational guide School of Engineering |
english |
| Computer Engineering: Computer Security and Intelligent Systems (2013) |
 Subjects |
| ARTIFICIAL VISION AND PATTERN RECOGNITION |
| Assessment |
| IDENTIFYING DATA | 2016_17 |
| Subject | ARTIFICIAL VISION AND PATTERN RECOGNITION | Code | 17665209 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 4.5 | Optional | 1Q |
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| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Methodologies | Competences | Description | Weight | |||||||
| Practicals using information and communication technologies (ICTs) in computer rooms |
|
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 / expositions |
|
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 | |||||||
| Objective short-answer tests |
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Written multiple choice tests related to the theoretical concepts taught in the course. | 20 | |||||||
| Extended-answer tests |
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Extended-answer tests | 20 | |||||||
| Others |
| Other comments and second exam session | |||
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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. |
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