157-0910/01 – Artificial Intelligence and Expert Systems (.)

Gurantor departmentDepartment of Systems Engineering and InformaticsCredits0
Subject guarantorprof. RNDr. Peter Mikulecký, CSc.Subject version guarantorprof. RNDr. Peter Mikulecký, CSc.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction2006/2007Year of cancellation2012/2013
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 Credit and Examination 30+0
Part-time Credit and 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

Additional study materials

Way of continuous check of knowledge in the course of semester

E-learning

Other requirements

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Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

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Conditions for subject completion

Full-time form (validity from: 1960/1961 Summer semester, validity until: 2011/2012 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)		Min. number of pointsMax. počet pokusů
Exercises evaluation and Examination Credit and Examination 100 (145) 51 3
        Examination Examination 100  0 3
        Exercises evaluation Credit 45  0 3
Mandatory attendence participation:

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Conditions for subject completion and attendance at the exercises within ISP:

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Occurrence in study plans

Academic yearProgrammeBranch/spec.Spec.ZaměřeníFormStudy language Tut. centreYearWSType of duty
2011/2012 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2011/2012 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2010/2011 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics P Czech Ostrava Choice-compulsory study plan
2010/2011 (P6209) Systems Engineering and Informatics (6209V025) System Engineering and Informatics K Czech Ostrava Choice-compulsory study plan
2008/2009 (P6209) Systems Engineering and Informatics (6209V021) Managerial Informatics K Czech Ostrava Choice-compulsory study plan
2007/2008 (P6209) Systems Engineering and Informatics (6209V021) Managerial Informatics K Czech Ostrava Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner

Assessment of instruction

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