Educational guide School of Engineering |
english |
Computer Engineering: Computer Security and Intelligent Systems (2013) |
Subjects |
ARTIFICIAL VISION AND PATTERN RECOGNITION |
Methodologies |
IDENTIFYING DATA | 2015_16 |
Subject | ARTIFICIAL VISION AND PATTERN RECOGNITION | Code | 17665209 | |||||
Study programme |
|
Cycle | 2nd | |||||
Descriptors | Credits | Type | Year | Period | ||||
4.5 | Optional | 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. |
Practicals using information and communication technologies (ICTs) in computer rooms | Practical use of simulators related to course content and developing new functionalities. |
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. Preparation of a report. Final evaluation by the teacher. |
Lecture | Explanation of theoretical contents by the teacher. |
Personal tuition | Personal attention to each student by the teacher during the teacher's office hours. |