|
Teaching GuideTerm Faculty of Computer Science |
| Mestrado Universitario en Bioinformática para Ciencias da Saúde |
 Subjects |
| Foundations of Artificial Intelligence |
| Contents |
|
|
| Identifying Data | 2019/20 | |||||||||||||
| Subject | Foundations of Artificial Intelligence | Code | 614522003 | |||||||||||
| Study programme |
|
|||||||||||||
| Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
| Official Master's Degree | 1st four-month period |
First | Optional | 6 | ||||||||||
|
||||||||||||||
| Topic | Sub-topic |
| 1. Introduction | 1.1. An historical perspective 1.2. Preliminary aspects 1.3. General considerations |
| 2. Problem-solving | 2.1. Introduction to solving problems in AI 2.2. The state space concept. Searching 2.3. General characteristics of searching processes 2.4. Pure search strategies 2.5. Search strategies in state space |
| 3. Structured Knowledge Representation | 3.1. Introduction 3.2. Declarative methods 3.3. Procedural methods 3.4. Examples and a practical case 3.5. Production systems |
| 4. Reasoning in AI | 4.1 Basics of categorical reasoning 4.2 Basics of Bayesian reasoning |
|
