| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) |
 Subjects |
| COMPLEX NETWORKS |
| Competences |
| 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 | Competences Specific |
| A1 | Integrate the fundamental technology, applications, services and systems of Computer Security and Artificial Intelligence,in a broader, multidisciplinary context. | |
| A7 | Understand and apply advanced knowledge of high performance computing and numerical or computational problems related to artificial intelligence neural networks and evolutionary systems methods. | |
| G2 | Perform mathematical modelling, calculation and simulation in company technology and engineering centres, particularly in tasks of research, development and innovation in the areas of Computer Security and Artificial Intelligence | |
| Type B | Code | Competences Transversal |
| CT1 | Become sufficiently independent to work on research projects and scientific or technological collaborations within their thematic area. | |
| CT2 | Forming opinions on the basis of the efficient management and use of information | |
| CT3 | Solve complex problems critically, creatively and innovatively in multidisciplinary contexts. | |
| CT5 | Communicate complex ideas effectively to all sorts of audiences | |
| Type C | Code | Competences Nuclear |
