| 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 | 17234134 | |||||
| Study programme |
|
Cycle | 1st | |||||
| Descriptors | Credits | Type | Year | Period | ||||
| 6 | Compulsory | Third | 2Q |
|||||
| Competences | Learning outcomes | Contents |
| Planning | Methodologies | Personalized attention |
| Assessment | Sources of information | Recommendations |
| Topic | Sub-topic |
| Introduction. | What is Artificial Intelligence (AI). History of AI. |
| Problem solving and search. | State space associated with a problem. Uninformed search. Heuristic search. |
| Knowledge representation. | Characteristics of a knowledge representation system. Fundamentals of Predicate Logic. Ontologies. Rule-based systems. |
| Knowledge-based systems. | Architecture of a Knowledge-Based System. Knowledge Base. Knowledge acquisition. Inference engine. Types of reasoning. Work cycle of the inference engine. |
| Neural networks. | Concept of neural network. Perceptron. Automatic weigth learning. |
| Ethics in AI. | Ethical aspects related to the use of AI techniques. |
