| Course Unit Code | 654-3010/02 |
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| Number of ECTS Credits Allocated | 6 ECTS credits |
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| Type of Course Unit * | Optional |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | |
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| Semester when the Course Unit is delivered | Winter, Summer Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | English |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| GRY0035 | Ing. Ondřej Grycz, Ph.D. |
| DOS0112 | Ing. Jan Dostál, MBA |
| Summary |
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| 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 |
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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 |
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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 |
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| Required Reading: |
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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: |
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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 |
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| Lectures, Tutorials, Project work |
| Assesment methods and criteria |
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| Tasks are not Defined |