Educational guide School of Engineering |
english |
Computer Security Engineering and Artificial Intelligence (2016) |
Subjects |
COMPUTER VISION AND PATTERN RECOGNITION |
Methodologies |
IDENTIFYING DATA | 2016_17 |
Subject | COMPUTER 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. |
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. |
Lecture | Explanation of theoretical contents by the teacher. |
Problem solving, classroom exercises | 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. |
Personal tuition | Personal attention to each student by the teacher during the teacher's office hours. |