| Educational guide School of Engineering |
english |
| Bachelor's Degree in Computer engineering (2010) |
 Subjects |
| COMPUTERIZED VISION |
| Competences |
| IDENTIFYING DATA | 2018_19 |
| Subject | COMPUTERIZED VISION | Code | 17234217 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Optional | 2Q |
||||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Type A | Code | Competences Specific |
| CP3 | Be able to evaluate the computational complexity of a problem, know algorithmic strategies that may lead to its resolution and recommend, develop and implement the one that will guarantee the best performance in accordance with the established requirements. | |
| CP5 | Be able to acquire, obtain, formalise and represent human knowledge in a computable format to solve problems through an IT system in any field of application, particularly those related to aspects of computation, perception and action in intelligent environments and settings. | |
| CP7 | Have knowledge of and develop computational learning techniques and design and implement applications and systems that use them, including those dedicated to the automatic extraction of information and knowledge from large volumes of data. | |
| Type B | Code | Competences Transversal |
| CT5 | Comunicar informació de manera clara i precisa a audiències diverses. | |
| Type C | Code | Competences Nuclear |
