157-0910/03 – Artificial Intelligence and Expert Systems (.)

Gurantor departmentDepartment of System EngineeringCredits10
Subject guarantorprof. RNDr. Peter Mikulecký, CSc.Subject version guarantorprof. RNDr. Peter Mikulecký, CSc.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction2013/2014Year of cancellation
Intended for the facultiesEKFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
MIK07 prof. RNDr. Peter Mikulecký, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 30+0
Combined Examination 30+0

Subject aims expressed by acquired skills and competences

The subject aims to learn students to analyze systems, which use systems artificial intelligence systems, to understand their construction and to compile a simple knowledge system.

Teaching methods

Lectures
Individual consultations

Summary

Formal apparatus and artificial intelligence languages: problems: problem solving, knowledge representation, symbolic functional, declarative and object oriented languages. Expert systems and their application in business: fundamental methods of representation of findings, architecture of knowledge and expert systems, expert system life cycle. Neuron networks and their application possibilities.

Compulsory literature:

Awad, E.M., Ghaziri, H.M.: Knowledge Management. Pearson, 2004. ISBN 0-13-034820-1 Giarratano, J., Riley, G.: Expert Systems: Principles and Programming. 3rd ed., PWS PublishingComp.,1998,ISBN0-534-95053-1

Recommended literature:

Guida, G., Tasso, C.: Design and Development of Knowledge-based Systems. J. Wiley & Sons,1994,ISBN0-471-92808-9 Schreiber, G. et al.: Knowledge Engineering and Management: The Common KADS Methodology. 3rd ed., The MIT Press, 2002, ISBN 0-262-19300-0

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

Elaboration and defense of project with respect to the set structure.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Formal structures and artificial intelligence languages: problems, problems solving, knowlege representation, symbolic functional, declarative and object oriented languages. Expert systems and their application to economics: fundamental methods of knowlege representation, expert and knowledge systems architecture, life cycle of expert systems. Neural networks and their possibilities of application, basic terminology connected with neural networks, types of neural networks and ways of their learning, areas of application for neural networks (forecasts, expert systems, picture processing, neural networks simulation). Other intelligent technologies and their applications: fuzzy logic, fuzzy sets, genetic algorithms and genetic programming. Knowledge management and its implementaton into companies.

Conditions for subject completion

Full-time form (validity from: 2013/2014 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2019/2020 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2018/2019 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2018/2019 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2017/2018 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2017/2018 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2016/2017 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2016/2017 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2015/2016 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2015/2016 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2014/2015 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2014/2015 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2013/2014 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2013/2014 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner