| Educational guide School of Engineering |
english |
| Computer Security Engineering and Artificial Intelligence (2016) - Online |
 Subjects |
| PLANNING AND APPROXIMATE REASONING |
| Learning outcomes |
| IDENTIFYING DATA | 2019_20 |
| Subject | PLANNING AND APPROXIMATE REASONING | Code | 17685204 | |||||
| Study programme |
|
Cycle | 2nd | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 3 | Optional | 1Q |
||||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Type A | Code | Learning outcomes |
| A9 |
Represent approximate knowledge and apply inference mechanisms to it to resolve complex problems. Understand the inherent complexity of automatic planning algorithms and the historical evolution of the different techniques proposed in this field. Implement complex mechanisms of automatic planning and apply them to solving specific problems. | |
| 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. | |
| CT4 |
Participate in the group in a good working environment and help to solve problems. | |
| Type C | Code | Learning outcomes |
