Introduction
This course delves into the core principles and methods of Artificial Intelligence (60 hours x 6 courses). The curriculum, taught by professors with significant research experience, covers advanced AI topics such as data and text mining, multi-agent systems, image processing, knowledge-based systems, and ontology integration.
- Daniel Manrique, 174h
- Asunción Gomez, 62h
- M. Carmen Suarez, 40h
- Roberto Valle, 36h
- Miguel García, 48h
Unit 1: Introduction to Artificial Intelligence
Foundations and scope of AI taught by Daniel Manrique and Asunción Gomez.
Unit 2: Knowledge Representation
Taught by Asunción Gomez and M. Carmen Suarez.
- Production systems
- Knowledge graphs
- Taxonomic and N-ary relationships
Unit 3: Search Techniques
Taught by Daniel Manrique, Roberto Valle and Miguel García.
- Uninformed search
- Informed search
- Constraint satisfaction
- Adversarial search
- State space search
Unit 4: Approximate Reasoning Models
Taught by Daniel Manrique and M. Carmen Suarez.
- Reasoning under uncertainty
- Fuzzy logic
Unit 5: Artificial Neural Networks
Taught by Daniel Manrique.
- Introduction to Machine Learning
- Neural network models
- Backpropagation and learning