Faculty of Safety Engineering

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ECTS Course Overview



Description of individual course units

IMPORTANT NOTE!!!

Following fields are not relevant for Exchange students:

  • Type of Course Unit
  • Level of Course Unit
  • Year of Study

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

Course Unit CodeCourse Unit TitleNumber of ECTS Credits Allocated
050-0509/01Expert Systems5 ECTS credits
Type of Course UnitChoice-compulsory
Level of Course UnitFirst Cycle
Year of StudyFourth Year
Semester when the Course Unit is deliveredWinter Semester
Mode of DeliveryFace-to-face
Language of InstructionCzech
Prerequisites and Co-Requisites Course succeeds to compulsory courses of previous semester
Name of Lecturer(s)Personal IDName
SEN76doc. Ing. Pavel Šenovský, Ph.D.
DOB78Ing. Pavel Dobeš, Ph.D.
Learning Outcomes of the Course Unit
The goal of the subject is to gain basic knowledge about:
- expert systems,
- neural networks,
- genetic algorithms.
Recommended Optional Programme Components
Common optional components are not offered, students of special interest can participate in departmental activities or can arrange consulting hours with lecturer.
Course Contents
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
Required Reading:
Šenovský, P.: Expertní systémy. Skriptum, VŠB-TUO: Ostrava 2007, 79str., dostupné z WWW < URL: http://homen.vsb.cz/~sen76/expert/expert.7z > [cit. 2007-09-12]
Šenovský, P.: Expertní systémy. Skriptum, VŠB-TUO: Ostrava 2007, 79str., dostupné z WWW < URL: http://homen.vsb.cz/~sen76/expert/expert.7z > [cit. 2007-09-12]
Recommended Reading:
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
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
Lectures, Tutorials, Project work
Assesment methods and criteria
Tasks are not Defined
Work placement(s)
Course does not contain work placement.

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