| Course Unit Code | 050-0509/01 |
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| Number of ECTS Credits Allocated | 5 ECTS credits |
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| Type of Course Unit * | Choice-compulsory |
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| Level of Course Unit * | First Cycle |
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| Year of Study * | Fourth Year |
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| Semester when the Course Unit is delivered | Winter Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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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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| SEN76 | doc. Ing. Pavel Šenovský, Ph.D. |
| DOB78 | Ing. Pavel Dobeš, Ph.D. |
| Summary |
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| The student understands basics of the system analysis using UML (Universal Modeling Language) as a basis of the rule-based expert system development and also other possible applications of the artificial intelligence tools and approaches to solve real-life problems. |
| Learning Outcomes of the Course Unit |
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The goal of the subject is to gain basic knowledge about:
- expert systems,
- neural networks,
- genetic algorithms.
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| Course Contents |
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1. Introduction to artificial intelligence
2. UML and ontology modeling
3. Expert systems
4. Neural networks
5. Cellular automata
6. L-systems
7. Multi agent systems
8. Genetic algorithms
9. Case studies of artificial intelligence usage |
| Recommended or Required Reading |
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| Required Reading: |
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| Fowler, M. UML Distilled: A Brief Guide to the Standard Object Modeling Language. 3rd ed. Addison-Wesley Professional, 2003, 208 pp., ISBN 978-0321193681 |
| Šenovský, P.: Expertní systémy. Skriptum, VŠB-TUO: Ostrava 2007, 79str., dostupné z http://lms.vsb.cz [cit. 2014-01-22] |
| Recommended Reading: |
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Jackson, P. Introduction To Expert Systems. 3rd ed. Addison-Wesley, 1998, 560 pp., ISBN 978-0201876864.
Heaton, J. Introduction to the Math of Neural Networks. Heaton Research, Inc., 2012, 119 pp. |
Mařík, V., Štěpánková, O., Lažanský, J. a kol: Umělá inteligence (1). Academia, Praha 1993, 264 str., ISBN: 80-200-0496-3
Mařík, V., Štěpánková, O., Lažanský, J. a kol: Umělá inteligence (2). Academia, Praha 1997, 373 str., ISBN: 80-200-0504-8
Mařík, V., Štěpánková, O., Lažanský, J. a kol: Umělá inteligence (3). Academia, Praha 2001, 328 str., ISBN: 80-200-0472-6 |
| Planned learning activities and teaching methods |
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| Lectures, Tutorials, Project work |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Exercises evaluation and Examination | Credit and Examination | 100 (100) | 51 |
| Exercises evaluation | Credit | 45 | 16 |
| Examination | Examination | 55 | 28 |