| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) |
 Subjects |
| NEURONAL AND EVOLUTIONARY COMPUTING |
| Competences |
| IDENTIFYING DATA | 2016_17 |
| Subject | NEURONAL AND EVOLUTIONARY COMPUTING | Code | 17685106 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 4.5 | Compulsory | First | 1Q |
|||||
| 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 | Gestionar i comunicar informació complexa, de temes diversos, amb naturalitat, en llengua estrangera. | |
| CT3 | Resoldre problemes complexes de manera crítica, creativa i innovadora en contextos multidisciplinars. | |
| CT5 | Comunicar idees complexes de manera efectiva a tot tipus d’audiències. | |
| Type C | Code | Competences Nuclear |
