| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) - Online |
 Subjects |
| ARTIFICIAL VISION AND PATTERN RECOGNITION |
| Methodologies |
| IDENTIFYING DATA | 2020_21 |
| Subject | ARTIFICIAL VISION AND PATTERN RECOGNITION | Code | 17685105 | |||||
| Study programme |
|
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 |
| Description | |
| Introductory activities | Introduction to the course: motivation, objectives, contents, teaching methods, bibliography and evaluation. |
| Presentations / oral communications | Students perform oral presentation of their work going in depth into specific topics of the subject. Assessment by the teacher. |
| Assignments | Students perform in groups of 2 people some analyses and research tasks related to the main themes of the course. Practical use of simulators. Preparation of a report. Final evaluation by the teacher. |
| Reading written documents and graphs | The students have to prepare the units of the course. |
| Forums of debate | Share questions with the teacher and their mates in the Forum. The teacher or any student can reply the questions. The collaboration between them is part of the learning process |
| Personal attention | Personal attention to each student by the teacher. |
