| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) - Online |
 Subjects |
| COMPLEX NETWORKS |
| Learning outcomes |
| IDENTIFYING DATA | 2020_21 |
| Subject | COMPLEX NETWORKS | Code | 17685208 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | 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 |
| CT2 |
Master the tools for managing their own identity and activities in a digital environment. Search for and find information autonomously using criteria of importance, reliability and relevance, which is useful for creating knowledge Organise information with appropriate tools (online and face-to-face) so that it can be updated, retrieved and processed for re-use in future projects. Produce information with tools and formats appropriate to the communicative situation and with complete honesty. Use IT to share and exchange the results of academic and scientific projects in interdisciplinary contexts that seek knowledge transfer. | |
| CT3 |
Recognise the situation as a problem in a multidisciplinary, research or professional environment, and take an active part in finding a solution. Follow a systematic method with an overall approach to divide a complex problem into parts and identify the causes by applying scientific and professional knowledge. Design a new solution by using all the resources necessary and available to cope with the problem. Draw up a realistic model that specifies all the aspects of the solution proposed. Assess the model proposed by contrasting it with the real context of application, find shortcomings and suggest improvements. | |
| Type C | Code | Learning outcomes |
