| Educational guide School of Engineering |
english |
| Computer Engineering: Computer Security and Intelligent Systems (2013) |
 Subjects |
| ARTIFICIAL INTELLIGENCE |
| Competences |
| IDENTIFYING DATA | 2017_18 |
| Subject | ARTIFICIAL INTELLIGENCE | Code | 17234215 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Optional | 1Q |
||||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Type A | Code | Competences Specific |
| CM15 | Have knowledge of and apply the fundamental principles and basic techniques of intelligent systems and their practical application. | |
| CP3 | Be able to evaluate the computational complexity of a problem, know algorithmic strategies that may lead to its resolution and recommend, develop and implement the one that will guarantee the best performance in accordance with the established requirements. | |
| CP4 | Have knowledge of the fundamentals, paradigms and techniques inherent in intelligent systems and analyse, design and construct IT systems, services and applications that use these techniques in any field of application. | |
| CP5 | Be able to acquire, obtain, formalise and represent human knowledge in a computable format to solve problems through an IT system in any field of application, particularly those related to aspects of computation, perception and action in intelligent environments and settings. | |
| CP7 | Have knowledge of and develop computational learning techniques and design and implement applications and systems that use them, including those dedicated to the automatic extraction of information and knowledge from large volumes of data. | |
| Type B | Code | Competences Transversal |
| Type C | Code | Competences Nuclear |
