Educational guide School of Engineering |
english |
Computer Security Engineering and Artificial Intelligence (2016) |
Subjects |
PLANNING AND APPROXIMATE REASONING |
Learning outcomes |
IDENTIFYING DATA | 2022_23 |
Subject | PLANNING AND APPROXIMATE REASONING | Code | 17685204 | |||||
Study programme |
|
Cycle | 2nd | |||||
Descriptors | Credits | Type | Year | Period | ||||
6 | Optional | First | 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 |
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. | |
CT4 |
Understand the team’s objective and identify their role in complex contexts. Communicate and work with other teams to achieve joint objectives. Commit and encourage the necessary changes and improvements so that the team can achieve its objectives. Trust in their own abilities, respect differences and use them to the team’s advantage. | |
Type C | Code | Learning outcomes |