| Educational guide School of Engineering |
english |
| Computer Engineering: Computer Security and Intelligent Systems (2013) |
 Subjects |
| ARTIFICIAL VISION AND PATTERN RECOGNITION |
| Learning outcomes |
| 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 |
| Type A | Code | Learning outcomes |
| A1 |
Integrate theoretical knowledge into the realities to which it may apply. Are familiar with Spanish institutions and organisations related to the area studied. | |
| A3 |
Apply the techniques learned in a specific context. | |
| D1 |
Analyse the problems and their causes from a global focus in the medium and long term. | |
| T9 |
Know how to implement advanced computer vision techniques. | |
| Type B | Code | Learning outcomes |
| B2 |
Identify things that need to be improved in complex situations and contexts. Apply innovative techniques and obtain results. | |
| B3 |
Take correct decisions at key moments confidently, consistently and systematically. | |
| Type C | Code | Learning outcomes |
| C2 |
Understand the operating system as a hardware manager and the software as a working tool. | |
| C3 |
Locate and access information effectively and efficiently. | |
| C5 |
Respect fundamental rights and equality between men and women. |
