B_ES Expert Systems

University of Finance and Administration
Summer 2024
Extent and Intensity
2/0/0. 3 credit(s). Type of Completion: z (credit).
Guaranteed by
Ing. Renata Janošcová, Ph.D.
Department of Computer Science and Mathematics - Departments - University of Finance and Administration
Contact Person: Ivana Plačková
There are no prerequisites for this course.
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives
Students will get familiar with basic principles of knowledge-based systems with main focus on rule-based expert systems of the first generation.
At the end of the course students should be able to:
- assess application areas of expert systems,
- describe the architecture and functionality of expert systems,
- design applications of rule-based expert systems.
Learning outcomes
Upon successful completion of this course, students will be able to:
- explain basic principles of expert systems
- explain knowledge reprezentation methods used in expert systems
- explain methods of inference used in expert systems
- assess the suitability of expert system application for a given area
- design and implement knowledge base for a given task
  • 1. Introduction to AI, History and Applications of Expert Systems (ES)
  • 2. Searching the state space
  • 3. Introduction to ES, principles of ES, knowledge base (KB)
  • 4. Representation of knowledge
  • 5. Derivation (inference) of knowledge
  • 6. Uncertainty in EC
  • 7. EC life cycle
  • 8. Knowledge engineering
  • 9. Example of POI creation I., selection of own POI
  • 10. Example of creation of BZ II., proposal of own BZ
  • 11. Example of creation of BZ III., creation of own BZ
  • 12. Debugging own BZ, creation of documentation
    required literature
  • BERKA, Petr, Petr JIRKŮ and Jiřina VEJNAROVÁ. Expertní systémy (Expert systems). Praha: VŠE, 1998. skripta. ISBN 80-7079-873-4. info
  • GÓRECKI, Jan, Expertní systémy. Distanční studijní text. Slezská univerzita v Opavě, OPF v Karviné : Karviná, 2017
  • Russell, S. J. 1., Norvig, P., & Davis, E. (2010). Artificial intelligence: a modern approach. 3rd ed. Upper Saddle River, NJ, Prentice Hall.
    recommended literature
  • Russell, S. J. 1., Norvig, P., Artificial intelligence: a modern approach. 4rd ed. Pearson Education © 2021. ISBN 978-0-13-461099-3. https://aima.cs.berkeley.edu/
  • BERKA, Petr and J KELEMEN. On the Development of the Knowledge and Information Technology. In Knowledge in Context. Bratislava: Iura edition, 2010. ISBN 978-80-8078-339-6. info
  • KELEMEN, J., Petr BERKA and ET AL. Pozvanie do znalostnej spoločnosti. Bratislava: Iura Edition – Wolters Kluwer, 2007. 265 pp. ISBN 978-80-8078-149-1. info
    not specified
  • Akerkar, R., Sajja, P.: Knowledge-Based Systems.Jones & Bartlett Learning, 2009
Teaching methods
- lectures and seminars in full-time study,
- tutorials in part-time study,

Lectures and seminars in full-time study; tutorials in part-time study; compulsory seminar participation is 75% in full-time study, compulsory tutorial participation is 50% in part-time study
Assessment methods
The course ends with credit.
CREDIT is awarded for creating your own knowledge base with documentation. The entry is in the VŠFS IS: https://is.vsfs.cz/auth/el/vsfs/leto2024/B_ES/um/
At the same time, the granting of credit is tied to the fulfillment of the obligation of active attendance (min. 75% in the face-to-face form and min. 50% in the combined form).
ISP students - credit is also awarded for creating your own knowledge base with documentation.
Language of instruction
Further comments (probably available only in Czech)
The course can also be completed outside the examination period.
Information on the extent and intensity of the course: 12 hodin KS/semestr.
Teacher's information
The subject webpage (above) presents a LINK to the team (subject) in MS Teams (then select your teacher's channel).

Study materials (lectures, video recordings, ...) of the subject can be found in IS VŠFS: https://is.vsfs.cz/auth/el/vsfs/leto2024/B_ES/

CONTACTS for the teacher: guarantor Ing. Renata Janošcová, Ph.D - 37037@mail.vsfs.cz.

CONSULTATION: information can be found on the personal pages of teachers in IS VŠFS (Teaching).

ISP and REPEATING students: Contact your teacher at the beginning of the semester (first - second week) and agree on the specific conditions of attendance and evaluation.

WE RECOMMEND submitting an application for inclusion in a timetabled (seminar) group to a specific teacheraccording to the instructions from the study department.

3 credits: 75 - 90 hours of study load.

The course is also listed under the following terms Summer 2008, Winter 2008, Summer 2009, Winter 2009, Winter 2010, Winter 2011, Winter 2012, Winter 2013, Winter 2014, Winter 2015, Winter 2016, Winter 2017, Winter 2018, Winter 2019, Winter 2020, Summer 2022, Summer 2023.
  • Enrolment Statistics (recent)
  • Permalink: https://is.vsfs.cz/course/vsfs/summer2024/B_ES