| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) |
 Subjects |
| COMPLEX NETWORKS |
| Learning outcomes |
| IDENTIFYING DATA | 2019_20 |
| Subject | COMPLEX NETWORKS | Code | 17685208 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 3 | Optional | 2Q |
||||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Type A | Code | Learning outcomes |
| A1 |
Analyse the problems and their causes from a global focus in the medium and long term. | |
| A7 |
Know the main characteristics of the complex network theory. Know the structural properties of complex networks. Know how to implement complex network models. Know how to use network community detection methods. Know how to solve dynamic problems in complex networks. Es familiaritza amb la recerca, comprensió i utilització d'articles d'investigació en llengua estrangera. | |
| G2 |
Apply the techniques learned in a specific context. | |
| Type B | Code | Learning outcomes |
| CT1 |
Manage and communicate complex information in foreign language. | |
| CT2 |
Manage information and knowledge by making efficient use of the information technologies. | |
| CT3 |
Recognise the situation as a problem in a multidisciplinary, research or professional environment, and take an active part in finding a solution. | |
| CT5 |
Produce a persuasive, consistent and precise discourse that can explain complex ideas and effectively interact with the audience. | |
| Type C | Code | Learning outcomes |
