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ECTS Course Overview



Methods of Artificial Intelligence

* Exchange students do not have to consider this information when selecting suitable courses for an exchange stay.

Course Unit Code654-3010/02
Number of ECTS Credits Allocated6 ECTS credits
Type of Course Unit *Optional
Level of Course Unit *Second Cycle
Year of Study *
Semester when the Course Unit is deliveredWinter, Summer Semester
Mode of DeliveryFace-to-face
Language of InstructionEnglish
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
GRY0035Ing. Ondřej Grycz, Ph.D.
Summary
Subjekt put mind to the questions artificial inteligence. Students do one's homework the control models on platform the artificial inteligence (qualitative and semi-qualitative models, fuzzy models, the knowledge-based systém,systems of neural network and genetic algorithm).
Learning Outcomes of the Course Unit
Student will be able to formulate and suggest the solution with utilization the instruments artificial inteligence.
Student will be able to create the knowledge base for the intelligent controller.
Student will be able to analyze the problems technical application in field the engineering cybernetics with utilization the instruments artificial inteligence.
Student will be able to formulate and suggest the solution problems with utilization Matlab toolboxs Fuzzy Logic, Neural Network and Genetic Algorithm.
Course Contents
1. Control as a informative incidence, activity and process.
2. Determination theory modelling and artificial intelligence.
3. Qualitative models.
4. Semiqualitative models.
5. Fuzzy model, introduction to fuzzy models.
6. Fuzzy multiple theory.
7. More value logic and language model.
8. Fuzzy systems
9.Strategy fuzzification, strategy defuzzification.
10. Expert systems, definition and architecture expert systems.
11. Knowledge base, inferential mechanism, interpretation answer expert systems.
12. Expert systems and control.
13. Introduction to the neuronal systems.
14. Neuronal networks.
15. Genetic algorithms.
Recommended or Required Reading
Required Reading:
RUSSELL, S. and P. NORVIG. Artificial Intelligence: A Modern Approach. New Jersey: Prentice Hall, 2002. ISBN 0-13-790395-2.
BOURBAKIS, N. G. Artificial Intelligence: Methods and Applications. World Scientific, 1992. ISBN: 978-981-02-1057-1.
FORSYTH, R. Expert systems: principles and case studies. New York: Chapman and Hall, 1989. ISBN: 9780412304606.
DAVID, J. Metody umělé inteligence. Ostrava: VŠB-TU Ostrava, 2013.
NÁVRAT, P. et al. Umelá inteligencia. Bratislava: Vydavaťeľstvo STU, 2015. ISBN: 80-227-2354-1.
ZELINKA, I. Umělá inteligence - hrozba nebo naděje? Praha: BEN-Technická literatura, 2003. ISBN: 80-7300-068-7.
ZELINKA, I.: Umělá inteligence v problémech globální optimalizace. Praha: BEN-Technická literatura, 2002. ISBN: 80-7300-069-5.
RUSSELL, S. and P. NORVIG. Artificial Intelligence: A Modern Approach. New Jersey: Prentice Hall, 2002. ISBN 0-13-790395-2.
BOURBAKIS, N. G. Artificial Intelligence: Methods and Applications. World Scientific, 1992. ISBN: 978-981-02-1057-1.
FORSYTH, R. Expert systems: principles and case studies. New York: Chapman and Hall, 1989. ISBN: 9780412304606.
Recommended Reading:
BOURBAKIS, N. G. Artificial intelligence and automation. London: World Scientific, 1998. ISBN: 978-9810226374.
NILSSON, N. J. Artificial Intelligence: a new synthesis. Burlington: Morgan Kaufmann Publishers, Inc.;, 1998. ISBN: 978-1558604674.
OPLATKOVÁ, Z. et. al. Evoluční výpočetní techniky - principy a aplikace. Praha: BEN-Technická literatura, 2008. ISBN: 80-7300-218-3.
MAŘÍK, V., O. ŠTĚPÁNKOVÁ a J. LAŽANSKÝ. Umělá inteligence 1. Praha: Academia, 1993. ISBN 80-200-0496-3.
MAŘÍK, V., O. ŠTĚPÁNKOVÁ a J. LAŽANSKÝ. Umělá inteligence 2. Praha: Academia, 1997. ISBN 80-200-0504-8.
POKORNÝ, M. Umělá inteligence v modelování a řízení. Praha: BEN-Technická literatura, 1996.
BOURBAKIS, N. G. Artificial intelligence and automation. London: World Scientific, 1998. ISBN: 978-9810226374.
NILSSON, N. J. Artificial Intelligence: a new synthesis. Burlington: Morgan Kaufmann Publishers, Inc.;, 1998. ISBN: 978-1558604674.
Planned learning activities and teaching methods
Lectures, Tutorials, Project work
Assesment methods and criteria
Tasks are not Defined