| Educational guide School of Engineering |
english |
| Bachelor's Degree in Computer engineering (2010) |
 Subjects |
| ARTIFICIAL INTELLIGENCE |
| Contents |
| IDENTIFYING DATA | 2023_24 |
| Subject | ARTIFICIAL INTELLIGENCE | Code | 17234215 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Optional | Fourth | 1Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Topic | Sub-topic |
| Introduction. | What is Artificial Intelligence? History of Artificial Intelligence. |
| Problem solving and search. | Problem and space state. Uninformed search. Heuristic search. |
| Knowledge representation. | Characteristics of a knowledge representation system. Logical formalisms. Production Systems. Ontologies. |
| Knowledge-based systems. | Architecture of a Knowledge-Based System: knowledge base and inference engine. Working cycle of an inference engine. |
| Machine Learning. | Concept of Machine Learning. Data types. Supervised and unsupervised Machine Learning. Clustering. Decision trees. Random forests. |
| Neural networks. | Concept of neural network. Automatic learning of weights. |
| Ethics in AI. | Ethical issues associated to the use of AI techniques. |
