|
Teaching GuideTerm Faculty of Computer Science |
Guía Provisional
|
| Mestrado Universitario en Bioinformática para Ciencias da Saúde |
 Subjects |
| Foundations of Artificial Intelligence |
| Contents |
|
|
|
| Identifying Data | 2024/25 | |||||||||||||
| 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: breadth-first and depth-first 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 4.3 Fuzzy sets |
| 5. Fundamental methods of computational intelligence |
5.1 Data-driven learning 5.2 Supervised classification methods 5.3 Unsupervised methods 5.4 Optimization methods 5.5 Evaluation |
|
