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Teaching Activities in Fuzzy Logic and Soft Computing

In the following, we provide a comprehensive list of teaching activities in fuzzy logic and related fields.

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Austria

Title of the course: Fuzzy Logic I
Responsible: Erich Peter Klement
Institute: Fuzzy Logic Lab Linz-Hagenberg, Johannes Kepler University Linz
Level: graduate and postgraduate
Topics covered: An introductory course to the basic concepts of fuzzy set theory, many-valued logic, rule-based approaches in artificial intelligence, approximate reasoning, possibility theory, etc.
Duration: 2h lecture, 1h exercise per week for one semester (approx. 15 weeks)
Title of the course: Fuzzy Logic II
Responsible: Erich Peter Klement
Institute: Fuzzy Logic Lab Linz-Hagenberg, Johannes Kepler University Linz
Level: graduate and postgraduate
Topics covered: An introduction to the basic concepts of fuzzy control, modeling of fuzzy systems, interpolation and approximation by fuzzy systems, etc.
Duration: 2h lecture, 1h exercise per week for one semester (approx. 15 weeks)
Title of the course: Fuzzy Logic and Fuzzy Systems
Responsible: Ulrich Bodenhofer
Institute: University of Derby in Austria (franchise)
Level: undergraduate
Topics covered: introduction to fuzzy sets, logics, and systems
Additional information: http://ulrich.bodenhofer.com/lectures/fuz/
Duration: roughly 30 hours in total
Title of the course: Genetic Algorithms: Theory and Applications
Responsible: Ulrich Bodenhofer
Institute: Fuzzy Logic Lab Linz-Hagenberg, Johannes Kepler University Linz
Level: graduate and postgraduate
Topics covered: Introduction to genetic algorithms and genetic programming, with applications in machine learning and fuzzy systems
Additional information: http://www.flll.jku.at/teaching/Ga/ga.html
Duration: 2h lecture per week for one semester (approx. 15 weeks)
Title of the course: Neural Networks
Responsible: Ulrich Bodenhofer
Institute: Fuzzy Logic Lab Linz-Hagenberg, Johannes Kepler University Linz
Level: graduate and postgraduate
Topics covered: Introduction to the basic concepts of neural networks, fuzzy neural networks, and self-organizing maps
Additional information: http://www.flll.jku.at/teaching/NeuralNetworks/ann.html
Duration: 2h lecture per week for one semester (approx. 15 weeks)
Title of the course: Knowledge-Based Methods in Image Processing and Pattern Recognition
Responsible: Ulrich Bodenhofer
Institute: Fuzzy Logic Lab Linz-Hagenberg, Johannes Kepler University Linz
Level: graduate and postgraduate
Topics covered: Case studies how fuzzy systems and other knowledge-based methods can be applied to image processing and pattern recognition
Additional information: http://www.flll.jku.at/teaching/Pattern/pattern.html
Duration: 2h lecture per week for one semester (approx. 15 weeks)
Title of the course: Many-Valued Logics
Responsible: Ulrich Bodenhofer
Institute: Fuzzy Logic Lab Linz-Hagenberg, Johannes Kepler University Linz
Level: graduate and postgraduate
Topics covered: Introduction to the formal treatment of fuzzy and many-valued logics
Additional information: http://www.flll.jku.at/teaching/mvl.html
Duration: 2h lecture per week for one semester (approx. 15 weeks)

Belgium

Title of the course: Computational techniques
Responsible: Prof. Dr. Bernard De Baets
Other people involved: none
Institute: Ghent University, Faculty of Applied Biological Sciences
Level: Master level (after reform of European Universities)
Topics covered: Fuzzy set theory, fuzzy modelling, natural computing (GA, NN, etc.), pattern recognition
Duration: 45 hours
Additional information: this is a new course in view of the reform to the BAMA structure of European universities. At least 50% of the course is dealing with fuzzy logic. It will be though for the first time in 2003.
Title of the course: Fuzziness and Uncertainty models
Responsible: Prof. Dr. Etienne E. Kerre
Institute: Ghent University, Belgium
Level: graduate
Topics covered: basic principles of fuzzy set theory. For more details see the webpage of the university or my cv
Duration: 30hours theory and 15 hours exercises
Number of students: 55
Title of the course: Capita selecta from fuzzy set theory
Responsible: Prof. Dr. Etienne E. Kerre
Institute: Ghent University, Belgium
Level: graduate
Topics covered: advanced topics depending on the interest of the audience,including fuzzy relational calculus with several implications
Duration: 30hours theory and 15 hours exercises
Number of students: about 10
Title of the course: Fuzzy logic
Responsible: Prof. Dr. Etienne E. Kerre
Institute: Ghent University, Belgium
Level: postgraduate
Topics covered: fuzzy sets for the application to expert knowledge representation and processing
Duration: 30 hours
Number of students: about 8
Title of the course: Fuzzy sets and approximate reasoning
Responsible: Prof. Dr. Etienne E. Kerre
Institute: Ghent University, Belgium
Level: postgraduate
Topics covered: variable depending on the interest of the students
Duration: 30 hours
Number of students: about 4
Title of the course: Trends in Soft Computing
Responsible: Chris Cornelis
Institute: Ghent University, Belgium
Level: graduate
Topics covered: introduction to rough set theory; selected topics of fuzzy set theory: fuzzy control, interval-valued fuzzy sets, intuitionistic fuzzy sets, bilattice-based fuzzy sets.
Duration: 15 hours
Number of students: about 50

Czech Republic

Title of the course: Fuzzy Logic
Responsible: Mirko Navara
Other people involved:
Institute: Institute for Machine Perception Department of Cybernetics Faculty of Electrical Engineering Czech Technical University Technicka 2 166 27 Praha 6 Czech Republic
Level: Postgraduate, in English
Topics covered: Basic notions about fuzzy sets, fuzzy propositional and set operations. Fundamentals of classical mathematical logic, proofs, completeness theorems. Basic types of fuzzy propositional logics - Gvdel, Lukasiewicz, product, S-fuzzy logics, rational Pavelka logic. Deduction, consistency, completeness. Basics of fuzzy predicate logics. Principles of fuzzy control, Takagi-Sugeno and Mamdani-Assilian controller. Logical interpretation of a fuzzy controller. More general types of fuzzy sets, rough sets, and other alternative approaches. Different types of uncertainty, quantum logics.
Duration: 1 semester (14x 2 hours of lectures)
Number of students: 7 (fuzzy)
Additional information: http://cmp.felk.cvut.cz/~navara/fl/
Title of the course: Mathematics 6F
Responsible: Mirko Navara
Other people involved: Petr Olsak (Ol\v s\'ak), Libor Nentvich
Institute: Department of Mathematics Faculty of Electrical Engineering Czech Technical University Technicka 2 166 27 Praha 6 Czech Republic
Level: Undergraduate, in Czech
Topics covered: Statistics, fuzzy sets and operations
Duration: 1 semester (14x 2 hours of lectures, 14x 2 hours of seminars; also a course of distant studies)
Number of students: 220 (fuzzy)
Additional information: http://cmp.felk.cvut.cz/~navara/m6f/m6fa_poz.htm (curricula in English) and http://cmp.felk.cvut.cz/~navara/m6f/ (complex information in Czech)
Title of the course: Foundations of fuzzy logic
Responsible: Petr Hajek
Institute: Faculty of nuclear engineering, Czech technical university Prague
Level: Undergraduate
Topics covered: continuous t-norm logic BL, Lukasiewicz, Godel and product logic (both propositional and predicate logic. Foundations of fuzzy control
Duration: 1 semester
Number of students: 5 - 10
Additional information: (Always winter semester) Professor Petr Hajek, DrSc Institute of Computer Science, Academy of Sciences, Pod vodarenskou vezi 2, 182 07 Prague, Czech Republic phone (+4202) 6605 3760, fax (+4202) 86585789 http://www.cs.cas.cz/~hajek
Title of the course: Fuzzy Set Theory
Responsible: Jiri Mockor
Institute: Institute for Research and Applications of Fuzzy Modeling (IRAFM) University of Ostrava, Czech Republic
Level: Undergraduate
Topics covered: Basic concepts, operations with fuzzy sets, fuzzy relations, fuzzy numbers
Duration: 1 semester
Number of students: 10 - 15
Additional information: Prof. Jiri Mockor, DSc.
Title of the course: Fuzzy Logic
Responsible: Vilem Novak
Institute: Institute for Research and Applications of Fuzzy Modeling (IRAFM) University of Ostrava, Czech Republic
Level: Undergraduate
Topics covered: Algebras for fuzzy logic, t-norms, syntax (evaluated) and semantics of predicate fuzzy logic, properties of provability, fuzzy theories, completeness
Duration: 1 semester
Number of students: 10 - 15
Additional information: Prof. Vilem Novak, DSc.
Title of the course: Fuzzy Modeling
Responsible: Vilem Novak
Institute: Institute for Research and Applications of Fuzzy Modeling (IRAFM) University of Ostrava, Czech Republic
Level: Undergraduate
Topics covered: fuzzy relations, fuzzy IF-THEN rules, normal forms, evaluating linguistic expressions and linguistic variable, elaboration of linguistic descriptions: fuzzy approximation (Mamdani-Assilian formula) and logical deduction, fuzzy control, fuzzy clustering, extraction of fuzzy IF-THEN rules from data, software LFLC (linguistic Fuzzy Logic Controller)
Duration: 1 semester
Number of students: 15 - 20
Additional information: Prof. Vilem Novak, DSc.
Title of the course: PhD study in Fuzzy Modeling
Institute: Institute for Research and Applications of Fuzzy Modeling (IRAFM) University of Ostrava, Czech Republic
Level: PhD
Additional information: Prof. Vilem Novak, DSc.
Title of the course: Fuzzy Modeling 1
Responsible: Vilem Novak
Institute: Institute for Research and Applications of Fuzzy Modeling (IRAFM) University of Ostrava, Czech Republic
Level: BSc
Duration: 1 semester
Additional information: Prof. Vilem Novak, DSc.
Title of the course: Fuzzy Modeling 2
Responsible: Vilem Novak
Institute: Institute for Research and Applications of Fuzzy Modeling (IRAFM) University of Ostrava, Czech Republic
Level: MSc
Duration: 1 semester
Additional information: Prof. Vilem Novak, DSc.
Title of the course: Fuzzy Logic
Responsible: Vilem Novak
Institute: Institute for Research and Applications of Fuzzy Modeling (IRAFM) University of Ostrava, Czech Republic
Level: MSc
Duration: 1 semester
Additional information: Prof. Vilem Novak, DSc.
Title of the course: Fuzzy Approximation
Responsible: Irina Perfilieva
Institute: Institute for Research and Applications of Fuzzy Modeling (IRAFM) University of Ostrava, Czech Republic
Level: MSc
Duration: 1 semester
Additional information: Prof. Irina Perfilieva, PhD
Title of the course: Applications of lattice theory
Responsible: Irina Perfilieva
Institute: Institute for Research and Applications of Fuzzy Modeling (IRAFM) University of Ostrava, Czech Republic
Level: MSc
Duration: 1 semester
Topics covered: Algebras for fuzzy logic (residuated lattices, BL-, MV-algebras)
Additional information: Prof. Irina Perfilieva, PhD

France

Title of the course: Gradedness and imprecision in databases
Responsible: P. Bosc
Other people involved: none (at that point)
Institute: ENSSAT (Ecole Nationale Supirieure de Sciences Appliquies et de Technologie) at Lannion - France
Level: postgraduate
Topics covered: generalities on fuzzy sets, flexible querying of regular relational databases, possibility theory, querying databases involving imperfect data (fuzzy databases)
Duration: 20 hours
Number of students: 20-40
Title of the course: New techniques in decision aid (fuzzy measures and integrals, possibility theory)
Responsible: M. Grabisch
Institute: Ecole des Mines de Paris
Level: postgraduate
Topics covered: fuzzy measures, Choquet and Sugeno integral ; introduction to multicriteria decision making, multicriteria decision making with fuzzy measures ; decision under uncertainty with fuzzy measures ; Dempster-Shafer theory
Duration: 18 hours (of which 6 hours of practice on software)
Number of students: between 12 and 20
Title of the course: Basics of fuzzy theory
Responsible: Hichem MAAREF
Institute: Universiti d'Evry Val d'Essonne, France
Level: Master (DEA Rialiti Virtuelle et Mantrise des Systhmes Complexes)
Topics covered: Fuzzy subsets, Fuzzy logic and Possibility theory Application: mobile robot and data fusion
Duration: 12 hours
Number of students: 20
Title of the course: Fuzzy logic and fuzzy control
Responsible: Prof. Andri TITLI
Institute: INSA Toulouse (Institut National des Sciences Appliquies)
Level: Postgraduate
Topics covered: fuzzy logic, fuzzy set, fuzzy modelling, fuzzy control (Mamdani and Sugeno types), stability, applications
Duration: 15 h
Number of students: 30
Title of the course: Management of uncertainties and imprecisions
Responsible: B. Bouchon-Meunier
Other people involved: C. Marsala
Institute: University Paris 6
Level: Postgraduate
Topics covered: Fundamentals of fuzzy set theory, possibility theory, fuzzy methods of reasoning, examples of applications.
Duration: 20 hours
Number of students: 30
Title of the course: Knowledge representation in AI
Responsible: B. Bouchon-Meunier
Institute: University Paris 6
Level:
Topics covered: management of imperfect knowledge in artificial intelligence, fuzzy logic, possibility theory, evidence theory, probabilistic reasoning
Duration: 12 hours
Number of students: 60

Germany

Title of the course: Intelligent Systems
Responsible: Claudio Moraga
Other people involved: None
Institute: University of Dormtund, Dept. Computer Science
Level: Graduate
Topics covered: Basics of fuzzy logic, neural networks and genetic algorithms; hybrid systems: FL-GA; NN-GA; NN-FL; NN-FL-GA
Duration: 1 semester to 4 hours per week
Number of students: random
Additional information: See http://ls1-www.cs.uni-dortmund.de/Lehre/TIS_WS01_02/materialien.html (some references are in German for obvious reasons)
Title of the course: Entscheidungs- und Informationstheorie (Decision and Informationtheorie)
Responsible: Prof. Dr. Brigitte Werners
Other people involved:
Institute: Ruhr-University Bochum
Level: master students
Topics covered: Fuzzy decision making
Duration: 2 weeks
Number of students: 120
Additional information: Only a part of the course focuses on fuzzy sets theory.
Title of the course: Softcomputing
Responsible: Prof. Dr. Wolfram-M. Lippe
Institute: Department of Computer Science, Westfdlische Wilhelms Universitdt, M|nster, Germany
Level: postgraduate
Topics covered: Artificial neural networks, fuzzy logic, genetic algorithms
Number of students: 40
Additional information: please see http://www.math.uni-muenster.de/math/inst/info/Professoren/Lippe/
Title of the course: Fuzzy-Systems
Responsible: Rudolf Kruse
Other people involved: Christian Borgelt, Aljoscha Klose, Heiko Timm
Institute: University of Magdeburg
Level: undergraduate
Topics covered: The concept of fuzzy sets to model vague knowledge; operations on fuzzy sets; fuzzy rule systems; applications in fuzzy control, expert systems (approximate reasoning), and data analysis (neuro-fuzzy systems, fuzzy clustering)
Duration: 1 semester (2 hours lecture + 2 hours exercises per week)
Number of students: about 40
Additional information: Our web address: http://fuzzy.cs.uni-magdeburg.de
Title of the course: Fuzzy Control
Responsible: R.Hampel
Other people involved:N.Chaker
Institute: University of Applied Sciences Zittau-Gvrlitz Department: Electrical Engineering
Level: Undergraduate
Topics covered: Fuzzy Measures, Operators, Fuzzy Controller, Characteristic Field, Structure Analysis, Application
Duration: 30 hours
Number of students: 20
Additional information: Course of studies: control theory mechatronics
Title of the course: Fuzzy Theory
Responsible: M.Wagenknecht
Institute: University of Applied Sciences Zittau-Gvrlitz
Level: Undergraduate
Topics covered: Operation with Fuzzy Measures,t-Norm, Implication, Partition, Relation, Fuzzy Rule Base( Mandami, Takagi-Sugeno) Fuzzy Numbers and Arithmetics, Optimization
Duration: 30 hours
Number of students: 20
Additional information: Course of study: mathematics for economics
Title of the course: Introduction to Fuzzy Logic (Einf|hrung in die Fuzzy-Logik).
Responsible: Dr. Stephan Lehmke
Other people involved: Prof. Dr. Helmut Thiele and Dr. Karl-Heinz Temme
Institute: University of Dortmund, Department of Computer Science I
Level: Graduate
Topics covered: * Operations on Truth Values + T-Norms and T-Conorms; Negations + Aggregation Functions + Implications * Operations and Relations on Fuzzy Sets + Standard and Non-Standard Fuzzy Sets Algebras + Fuzzy Subset Relations + Fuzzy Quantifiers and Modifiers * Fuzzy Relations + Image under a Fuzzy Relation + Solving Fuzzy Relation Equations + Fuzzy Equivalence Relations and Fuzzy Partitions * Foundations of Fuzzy Inferenze + The Generalized Modus Ponens + Fuzzy IF-THEN Rule Bases + Fuzzy Inference Mechanisms + Applications: Fuzzy Control, Fuzzy Expert Systems
Duration: 60-65 hrs
Number of students: 10-15
Additional information: See http://ls1-www.cs.uni-dortmund.de/~lehmke/EFL (in german).

Greece

Title of the course: Fuzzy Sets and Logic: Theory and Applications
Responsible: Dr. Nikos Tsourveloudis, Assistant Professor
Other people involved:
Institute: Technical University of Crete, Department of Production Engineering & Management
Level: Postgraduate
Topics covered: Definitions and Basic Operations with Fuzzy Sets Fuzzy Relations and the Extension Principle Linguistic Variables, Operations and Fuzzy IF-THEN Rules Approximate Reasoning Fuzzy Knowledge-based Systems Applications of Fuzzy Logic in Automatic Control and Decision Making Introduction to Neuro-fuzzy systems. Fuzzy Logic Toolbox by MATLAB
Duration: 13 weeks
Number of students: 10 (average)

Hungary

Title of the course: Fuzzy systems I., II.
Responsible: Laszlo T. Koczy
Other people involved: Peter Baranyi, Domonkos Tikk
Institute: Budapest University of Technology and Economics
Level: senior undergraduate (8th and 9th semester) + postgraduate
Topics covered: foundation of fuzzy sets and logic, relations reasoning and control, complexity reduction of fuzzy algorithms, model construction
Duration: 2*14*4 academic hours
Number of students: 10-20/course
Additional information: text books in English and Hungarian + multimedia online material (450 pages equivalent + figures, animation and video clips) available

Spain

Title of the course: Fuzzy Uncertainty in Decision Making
Responsible: J. Montero
Institute: Faculty of Mathematics
Level: Postgraduate
Topics covered: Fuzziness Versus Probability, Preference Modelling, Multicriteria Decision Making, Group Decision Making, Classification.
Duration: 30 hours
Number of students: 5
Additional information: This course is being taught last 4 years.
Title of the course: Artificial Intelligence I
Responsible: V. Torra prepared the written material
Other people involved: A. Moreno, E. Sesa (teaching staff)
Institute: Universitat Oberta de Catalunya (Catalan Open University)
Level: Undergraduate level (1r curso, 2o ciclo)
Topics covered: Basic elements of fuzzy sets Mamdami-like Fuzzy inference systems (general overview)
Duration: "7.5 hours" (this is a open university)
Number of students: 150
Additional information: Artificial Intelligence I is a general course (search + knowledge representation).
Title of the course: Ticnicas de razonamiento aproximado y fusisn de la informacisn
Responsible: Pere Garcia, Lluis Godo, Viceng Torra
Other people involved:
Institute: IIIA - CSIC
Level: curso de doctorado para la UPC y Autonoma de Barcelona.
Topics covered: de fuzzy logic, el curso toca el tema de lsgica posibilistica dentro de los modelos de incertidumbre (i.e. ademas del probabilmstico), el tema de fuzzy sets, systems of fuzzy rules (tipos de fuzzy rules, semanticas y mitodos de inferencia alternativos), y luego integrales fuzzy dentro del apartado de fusion.
Duration: 30 horas
Number of students: depende del aqo, este aqo .... 4 !
Title of the course: Models of Decision and Optimisation
Responsible: J.L. Verdegay
Other people involved: S. Moral and M.T. Lamata
Institute: Dept. Computer Science and Artificial Intelligence. University of Granada
Level: Postgraduate
Topics covered: Decision Making, Propagation on Nets, Math. Programming, VSN Algorithms, Decision Support Systems
Duration: 30 hours
Number of students: no limit
Additional information:
Title of the course: Logics for Artificial Intelligence
Responsible: F.Esteva and P. Garcia
Other people involved:
Institute: Institut d'Investigacis en Intel.lighncia Artificial (IIIA-CSIC)
Level: Programa de doctorado UB y UAB
Topics covered: Referente a temas "fuzzy" solo damos lrgicas multi-valuadas y lrgica de la similaridad.
Duration: 30 horas
Number of students: normalmente unos 6 o 7
Title of the course: Intelligent Control: Fuzzy and Neural Control
Responsible: Jose Luis Navarro
Other people involved: Pablo Carbonell, Antonio Sala
Institute: Universidad Politecnica de Valencia (Spain)
Level: Ph D
Topics covered: universal approximators, modeling and identification, supervised learning, clustering, direct fuzzy control, model-based fuzzy control, adaptive neurofuzzy controllers, supervision and validation
Duration: 40 h.
Number of students: 8
Title of the course: Imprecision and uncertainty in computing
Responsible: Alberto J. Bugarmn Diz and Paulo Filix Lamas
Institute: Dep. Electronics and Computer Science. Univ. Santiago de Compostela.
Level: Postgraduate seminar
Topics covered: (only fuzzy-logic related contents) Introduction to fuzzy sets theory, Fuzzy rule-based reasoning, fuzzy control fundamentals, applications and design.
Duration: 30 hours
Number of students: 3
Additional information: Also a brief introduction to probabilistic and Dempster-Shafer methods for uncertainty management is given in this seminar.
Title of the course: Machines Intelligence
Responsible: Senin Barro Ameneiro
Institute: Dep. Electronics and Computer Science. Univ. Santiago de Compostela.
Level: Undergraduate seminar
Topics covered: (only fuzzy-logic related contents) Introduction to fuzzy control fundamentals.
Duration: 8 hours
Number of students: 15
Title of the course: Fuzzy Control
Responsible: DR. Fernando Matia
Other people involved: Prof. Agustin Jimenez, Prof. Ramon Galan
Institute: Universidad Politecnica de Madrid Departamento de Automatica (DISAM)
Level: Postgraduate
Topics covered: Basis of Fuzzy Logic Basis of Fuzzy Controllers Advanced Analysis of Fuzzy Controllers Fuzzy Models Dynamic Analysis and Stability Adaptive and Supervised Fuzzy Controllers Fuzzy Controllers Design Applications and Tools
Duration: 10 hours
Number of students: 20-40
Additional information: This course is also given to industrial companies in a short version ranging from 2 to 10 hours
Title of the course: Artificial Intelligent Techniques
Responsible: Dr. Miguel A. Sanz-Bobi and Dr. Jose A. Olivas
Institute: Pontificia Comillas University (Madrid, Spain) Advanced Technical School of Engineering, ICAI Degree of Computer Engineering
Level: Undergraduate (Year 4)
Topics covered: - Fuzzy logic: Concepts, knowledge representation, inference, control - Neural networks - Automatic machine learing
Duration: 45 hours
Number of students: 110
Additional information: The material of the course is in Spanish
Title of the course: Control de Procesos
Responsible: Juan Carlos Crespo Zaragoza
Other people involved: Julio Gutiirrrez Rmos, Felipe Fernandez Hernandez, Angel Rodriguez Martmnez de Bartolomi
Institute: Facultad de Informatica de la Univ. Politicnica de Madrid
Level: Undergraduate
Topics covered: Fuzzy setes, Fuzzy Control, Fuzzy inference
Duration: 90 h. - Fuzzy Control, only 5 h.
Number of students: 23
Title of the course: Lsgica Borrosa: Teorma y Aplicaciones
Responsible: Luis Magdalena
Other people involved: Julio Gutiirrez Rmos, Enric Trillas
Institute: ETSI. Telecomunicacisn, Universidad Politicnica de Madrid
Level: PhD
Topics covered: Fuzzy Sets theory, Fuzzy Control, Fuzzy Data bases, Fuzzy Data Mining
Duration: 30 h.
Number of students: 7
Additional information:
Title of the course: Industrial Applications of Fuzzy Logic (in spanish) people involved: Santiago Sanchez Solano, Iluminada Baturone Castillo, and Angel Barriga Barros
Institute: Escuela Ticnica Superior de Ingenierma Informatica Universidad de Sevilla
Level: postgraduate Programa de doctorado: "Informatica Industrial"
Topics covered: Fuzzy sets and fuzzy inference systems Development of fuzzy systems Microelectronic design of fuzzy logic-based systems Fuzzy logic CAD tools Applications of fuzzy logic
Duration: 25 hours
Number of students: 10
Additional information: I. Baturone, A. Barriga, S. Sanchez-Solano, C. J. Jiminez, D. R. Lspez Microelectronic design of fuzzy logic-based systems CRC Press, 2000. FLEB: Fuzzy Logic E-Book (in spanish) and Xfuzzy: Fuzzy Logic Design Tools (for unix & MS-Windows)
Title of the course: Non-linear theory and systems
Responsible: Ana Pirez Neira
Other people involved: no one else in the fuzzy logic part
Institute: Escuela Ticnica Superior de Ingenieros de Telecomunicacisn de Barcelona. Universidad Politicnica de Cataluqa
Level: postgraduate
Topics covered: 1. Stability criteria for non-linear systems 2. Non-Linear Models and adaptive design 3. Fuzzy logic systems for estimation (8 hours) 3.1. Introduction 3.2. Fuzzy Basis Functions for function approximation 3.2.1. Design Fuzzification, Rule Base, Inference, Defuzzification 3.2.2. Fuzzy Systems as conditional mean estimator 3.3. Neuro-fuzzy systems 3.4. Aplications: Interference canceller, Automatic power control for CDMA, Espectral estimation, Digital detection in presence of Multiuser Interference.... 4. Introduction to geometric processing
Duration: 8 hours
Number of students: 10
Additional information: The fuzzy logic course is a part of a PHD course of Non-Linear Systems that belongs to the PHD programm of the Signal Theory and Communication Department of UPC (Polytechnical University of Catalunya).
Title of the course: Computational Learning
Responsible: Juan A. Botia Blaya
Other people involved: Humberto Martinez Barbera
Institute: Facultad de Informatica, Universidad de Murcia
Level: Undergraduate
Topics covered: introducction to fuzzy logic and fuzzy control
Duration: topics related to fuzzy logic take about eight hours
Number of students: over 10 students a year
Additional information: Fuzzy logic is used in the course as a particular topic by means of which an engineer can tackle with the problem of modeling problems that presents no clear structure and also uncertainty
Title of the course: Mitodos de razonamiento aproximado
Responsible: Enric Trillas
Institute: Facultad de Informatica, Universidad Politicnica de Madrid
Level: Undergraduate (last year)
Duration: 90 hours
Title of the course: Razonamiento aproximado
Responsible: Enric Trillas
Institute: Facultad de Informatica, Universidad Politicnica de Madrid
Level: Postgraduate
Duration: 30 hours

Slovakia

Title of the course: Deductive knowledge systems
Responsible: Peter Vojtas
Other people involved: Stanislav Krajci, Rastislav Lencses
Institute: Institute of informatics, Faculty of Science, University of P.J.Safarik Kosice, SLovakia
Level: graduate (master in informatics)
Topics covered: procedural and declarative semantics of fuzzy logic programs, soundness, fuzzy fixpoint theory, necessary and sufficien conditions for continuous semantics, completeness, semantics of fuzzy unification, fuzzy datalog, querying with threshold, best answer, fuzzy query optimisation,
Duration: 1 semester (after prerequisities in logic, databases and crisp logic porgramming)
Number of students: may vary from 15 to 30 each year
Additional information: each year one or two master diploma thesis in this subject and its Extensions

Sweden

Title of the course: Fuzzy logic techniques for autonomous vehicle navigation
Responsible: Alessandro Saffiotti
Institute: AASS Mobile Robots Laboratory, University of Orebro, Sweden
Level: Graduate (master and PhD students)
Topics covered: 1. The challenge of autonomous robot navigation 2. Fuzzy logic for motion control 3. Fuzzy logic for behavior coordination 4. Fuzzy logic for environment modeling 5. Grandeur et mishre of fuzzy logic
Duration: This is intended to be delivered as 4 lessons of 2 hours each. I have also used this material to deliver it as a 4 hour tutorial at conferences. Additinal time can be used for practical exercises following the pseudo-code provided.
Number of students: The course is delivered on requests either as a tutorial (typically, 20 to 40 students) or as a short graduate course (typically 8 students).
Additional information: The teaching material in on-line at http://www.aass.oru.se/Agora/FLAR/ This includes a set of overheads (in PostScript) and a survey paper.

United Kingdom

Title of the course: Neuro-fuzzy Systems
Responsible: Tony Pipe
Institute: Faculty of Computing, Engineering and Mathematical Sciences, UWE, Bristol, UK
Level: Level 3 undergraduate and Masters level
Topics covered: Various Neural Networks, and then Mamdani and Tagaki-Sugeno Fuzzy Systems. The emphasis is on these techniques for non-linear control system design, but their is also a little signal processing included
Duration: 3 hours per week for 12 weeks
Number of students: Undergraduate 18, Masters 15