Educational guide School of Engineering |
english |
Computer Security Engineering and Artificial Intelligence (2016) - Online |
Subjects |
ARTIFICIAL VISION AND PATTERN RECOGNITION |
Methodologies |
IDENTIFYING DATA | 2017_18 |
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 / expositions | 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. |
Material reading and studying | The students have to prepare the units of the course. |
Forums of discussion | 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 tuition | Personal attention to each student by the teacher. |