Doctorate Programme

The doctors in the group are presently taking part in the doctorate programme Data Processing in Artificial Intelligence taught by the Department of Computer Science and Artificial Intelligence at our University. The general lines followed in the programme are set out below:

• Supporting Materials and Research Techniques
  • Bibliographical Sources in Artificial Intelligence
  • Discrete Mathematical Structures
  • Advanced Optimization and Search Algorithms
  • Fuzzy Sets
  • Mathematical Bases for the Image Processing and Analysis.
  • Stochastic Signals Theory.
• Basic Subjects in the Programme
  • Numerical Models for the Processing of Uncertainty
  • Knowledge Representation using Causal Networks
  • Causal Network Learning
  • Data processing with Fuzzy Measurements
  • Approximate Reasoning
  • Linguistic Variables
  • Decision Support Systems
  • Systems Theory. Fuzzy Systems and Applications
  • Advanced Techniques and Tools for Designing Data Systems
  • Semantic Modelling: Classic and Object-Oriented
  • Fundaments and Applications of A.I. in Data Bases
  • Restoration and Filtering in Image Analysis.
  • Feature Extraction Techniques.
  • Propagation of Uncertainty in Causal Networks
  • Decision-making with Incomplete Knowledge
  • Combination and Revision of Knowledge
  • Fuzzy Data Models
  • Fuzzy Models for Pattern Recognition
  • Inductive Learning in a Fuzzy Environment
  • Decision-making in a Fuzzy Environment
  • Knowledge-based Systems
  • Non monotonous Reasoning
  • Neural networks
  • Combination of Genetic Algorithms and Fuzzy Logic
  • Design of Fuzzy Controllers
  • Characterization of Shapes.
  • Statistical Recognition of Patterns.
  • Image Classification.
  • Sight Models.
  • Reconstruction and Design of 3D Shapes.
• Courses to be taught by visiting lecturers
  • New Trends in Data Bases
  • Fuzzy Technology in Hardware Design.
  • Real Applications of Fuzzy Techniques and Neural Networks
  • Syntactic Recognition of Patterns.

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Decsai page