Teaching GuideTerm Faculty of Computer Science |
Mestrado Universitario en Bioinformática para Ciencias da Saúde |
Subjects |
Foundations of Artificial Intelligence |
Contents |
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Identifying Data | 2024/25 | |||||||||||||
Subject | Foundations of Artificial Intelligence | Code | 614522003 | |||||||||||
Study programme |
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Descriptors | Cycle | Period | Year | Type | Credits | |||||||||
Official Master's Degree | 1st four-month period |
First | Optional | 6 | ||||||||||
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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 |
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