157-0416/01 – Artificial Intelligence and Expert Systems (UIES)

Gurantor departmentDepartment of Systems EngineeringCredits5
Subject guarantorprof. RNDr. Peter Mikulecký, CSc.Subject version guarantorIng. Pavel Vlček, Ph.D.
Study levelundergraduate or graduateRequirementCompulsory
Year1Semestersummer
Study languageCzech
Year of introduction2008/2009Year of cancellation2012/2013
Intended for the facultiesEKFIntended for study typesFollow-up Master
Instruction secured by
LoginNameTuitorTeacher giving lectures
VLC87 Ing. Pavel Vlček, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Part-time Credit and Examination 6+6
Distance Credit and Examination 0+6

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
Tutorials

Summary

The subject aims to introduce students into fundamentals of the expert systems area, on their history, architecture, and possibilities for their utilisation. It aims to present expert systems as a modern information technology supporting managerial decision process. Students will be able also to use practically a suitable expert system development tool(Clips).

Compulsory literature:

Awad, E.M.: Building Expert Systems. West Publishing, Minneapolis, 1996 Giarratano, J., Riley, G.: Expert Systems: Principles and Programming. 4th Ed., Brooks Cole, 2004, ISBN 0534384471 Nilsson, N.J.: Artificial Intelligence: A New Synthesis. Morgan Kaufmann, 1998 Stefik, M.: Introduction to Knowledge Systems. Morgan Kaufman, San Francisco, 1995

Recommended literature:

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

Part-time form (validity from: 1960/1961 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 (100) 51 3
        Exercises evaluation Credit 45 (45) 0 3
                Project Project 45  0 3
        Examination Examination 55 (55) 0 3
                Oral Oral examination 55  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
2010/2011 (N6207) Quantitative Methods in Management (6207T018) Quantitative management support D Czech Ostrava 2 Compulsory study plan
2010/2011 (N6209) Systems Engineering and Informatics (6209T025) System Engineering and Informatics (02) System Engineering and Informatics K Czech Ostrava 1 Compulsory study plan
2009/2010 (N6207) Quantitative Methods in Management (6207T018) Quantitative management support D Czech Ostrava 1 Choice-compulsory study plan
2009/2010 (N6207) Quantitative Methods in Management (6207T018) Quantitative management support D Czech Ostrava 2 Choice-compulsory study plan
2009/2010 (N6209) Systems Engineering and Informatics (6209T025) System Engineering and Informatics (02) System Engineering and Informatics K Czech Ostrava 1 Compulsory study plan
2008/2009 (N6207) Quantitative Methods in Management (6207T018) Quantitative management support D Czech Ostrava 1 Choice-compulsory study plan
2008/2009 (N6207) Quantitative Methods in Management (6207T018) Quantitative management support D Czech Ostrava 2 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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