Introduction

This course delves into the core principles and methods of Artificial Intelligence (60 hours). 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.

  • Miguel García, 10h x 2 Degree = 20h
  • Víctor Maojo, 2h x 2 Degree = 4h
  • David Pérez, 8h x 2 Degree = 16h
  • Roberto Valle, 8h x 2 Degree = 16h
  • Damiano Zanardini, 8h x 2 Degree = 16h
  • María Poveda, 8h x 2 Degree = 16h
  • Daniel Garijo, 16h x 2 Degree = 32h

Unit 1: Introduction to Intelligent Systems

This unit provides an overview of intelligent systems and is taught by Victor Maojo.

Unit 2: AI Methods

This unit covers various AI methods, including:

  • Information Retrieval and Extraction, Machine Learning Ranking, and Real-World Data: Taught by Miguel García and David Pérez.
  • Computer Vision: Taught by Roberto Valle.
  • Knowledge Discovery. Data Mining: Taught by Damiano Zanardini.
  • Information Aggregation and Knowledge Representation through Ontologies: Taught by María Poveda.

Unit 3: Architectures and Design of Intelligent Systems

This unit focuses on the architectures and design principles of intelligent systems, taught by Daniel Garijo.