Educational guide School of Engineering |
english |
Computer Security Engineering and Artificial Intelligence (2016) |
Subjects |
ARTIFICIAL VISION AND PATTERN RECOGNITION |
Planning |
IDENTIFYING DATA | 2023_24 |
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 |
Methodologies :: Tests | ||||||||||||||
Competences | (*) Class hours |
Hours outside the classroom |
(**) Total hours | |||||||||||
Introductory activities |
|
1 | 1.5 | 2.5 | ||||||||||
IT-based practicals in computer rooms |
|
10 | 15 | 25 | ||||||||||
Presentations / oral communications |
|
1 | 1.5 | 2.5 | ||||||||||
Lecture |
|
25 | 33.5 | 58.5 | ||||||||||
Problem solving, exercises in the classroom |
|
4 | 6 | 10 | ||||||||||
Personal attention |
|
1 | 0 | 1 | ||||||||||
Short-answer objective tests |
|
1 | 5 | 6 | ||||||||||
(*) On e-learning, hours of virtual attendance of the teacher. (**) The information in the planning table is for guidance only and does not take into account the heterogeneity of the students. |