157-0910/02 – Artificial Intelligence and Expert Systems (.)

Gurantor department	Department of Systems Engineering	Credits	10
Subject guarantor	prof. RNDr. Peter Mikulecký, CSc.	Subject version guarantor	prof. RNDr. Peter Mikulecký, CSc.
Study level	postgraduate	Requirement	Choice-compulsory
Year		Semester	winter + summer
		Study language	Czech
Year of introduction	2012/2013	Year of cancellation	2012/2013
Intended for the faculties	EKF	Intended for study types	Doctoral

Instruction secured by
Login	Name	Tuitor	Teacher giving lectures
MIK07	prof. RNDr. Peter Mikulecký, CSc.

Extent of instruction for forms of study
Form of study	Way 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

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

Conditions for completion are defined only for particular subject version and form of study

Occurrence in study plans

Academic year	Programme	Branch/spec.	Spec.	Zaměření	Form	Study language	Tut. centre	Year	W	S	Type of duty
2012/2013	(P6209) Systems Engineering and Informatics	(6209V025) System Engineering and Informatics			K	Czech	Ostrava				Choice-compulsory	study plan
2012/2013	(P6209) Systems Engineering and Informatics	(6209V025) System Engineering and Informatics			P	Czech	Ostrava				Choice-compulsory	study plan

Occurrence in special blocks

Block name	Academic year	Form of study	Study language	Year	W	S	Type of block	Block owner

Assessment of instruction

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