455-0072/01 – Applied Artificial Intelligence Methods (AUI)

Gurantor departmentDepartment of Measurement and ControlCredits4
Subject guarantorprof. Dr. Ing. Miroslav PokornýSubject version guarantorprof. Dr. Ing. Miroslav Pokorný
Study levelundergraduate or graduateRequirementChoice-compulsory
YearSemestersummer
Study languageCzech
Year of introduction1992/1993Year of cancellation2002/2003
Intended for the facultiesFEIIntended for study typesMaster
Instruction secured by
LoginNameTuitorTeacher giving lectures
MAT57 Ing. Martin Matušů
POK40 prof. Dr. Ing. Miroslav Pokorný
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+2

Subject aims expressed by acquired skills and competences

The subject represents the introduction to the artificial intelligence methods and tools, with special focus on knowledge systems application in control systems and expert systems. Students will be acquainted with fundamentals of artificial intelligence principles and also with its practical use in diploma thesis and their next engineering praxis. Students will be acquainted with fundamentals of artificial intelligence principles and also with its practical use in diploma thesis and their next engineering praxis.

Teaching methods

Summary

The subject represents the introduction to the artificial intelligence methods and tools, with special focus on knowledge systems application in control systems and expert systems. Students will be acquainted with fundamentals of artificial intelligence principles and also with its practical use in diploma thesis and their next engineering praxis. The following topics are discused: the sources and principles of artificial intelligence, the classical and multivariable logic, complex problems solution. Methods for decision support in environment with lack of objective information and uncertainty. Fuzzy mathematics an fuzzy logic principle, fuzzy control and expert systems. Probability systems,principles and application of neural networks and genetic algorithms in the field of modern cybernetics and robotics.

Compulsory literature:

Recommended literature:

Way of continuous check of knowledge in the course of semester

Verification of study: 90 points for elaboration of 3 written tests Conditions for credit: 10 points for elaboration of individual semestral project (expert system or fuzzy controller)

E-learning

Další požadavky na studenta

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Lectures: History of artificial intelligence, artificial intelligence principles and approaches. Objective and subjective knowledge, knowledge using in knowledge baseed systems. Uncertainty and its using in linguistic models. Mathematical logics and artificial intelligence approaches. Knowledge representation, importance of knowledge in artificial intelligence systems. Machine knowledge representation IF-THEN rule based models. Machine problem solving. Expert systems Principles and fundamentals of fuzzy set theory and fuzy mathematics an logics. Fuzzy control Methodology of fuzzy controller design Neural networks Genetics algorithms Speach recognition Application of artificial intelligence methods in engineering Laboratories: Introduction to laboratory praxis Motion system analysis of mobile robot model VIMR Orientation system analysis of mobile robot model VIMR Motion trajectory definition and realisation in VIMR control system Communication in control system VIMR On board microprocessor VIMR control system Hierarchical control robot system VIMR using PC and HC12 Projects: Individual semestral project (expert system or fuzzy controller) Computer labs: Linguistic model design methodology State space searching Fuzzy procedures, education programme system Fuzzy Logic MOTOROLA Fuzzy toll box MATLAB, development systems LMPS and NEFRIT Fuzzy controller design Neural network application Genetic algorithms application

Conditions for subject completion

Full-time form (validity from: 1960/1961 Summer semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Exercises evaluation and Examination Credit and Examination 100 (145) 51
        Examination Examination 100  0
        Exercises evaluation Credit 45  0
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2002/2003 (M2612) Electrical Engineering and Computer Science (2601T004) Measurement and Control Engineering P Czech Ostrava Choice-compulsory study plan
2002/2003 (M2612) Electrical Engineering and Computer Science (2612T018) Electronics and Communication Technology P Czech Ostrava Choice-compulsory study plan
2002/2003 (M2612) Electrical Engineering and Computer Science (2642T004) Electrical Machines, Apparatus and Drives (10) Elektrické stroje a přístroje P Czech Ostrava Choice-compulsory study plan
2002/2003 (M2612) Electrical Engineering and Computer Science (2642T004) Electrical Machines, Apparatus and Drives (20) Elektrické pohony a výkonová elektronika P Czech Ostrava Choice-compulsory study plan
2002/2003 (M2612) Electrical Engineering and Computer Science (3902T023) Computer Science P Czech Ostrava Choice-compulsory study plan
2002/2003 (M2612) Electrical Engineering and Computer Science (3907T001) Electrical Power Engineering P Czech Ostrava Choice-compulsory study plan
2002/2003 (M2612) Electrical Engineering and Computer Science (2601T004) Measurement and Control Engineering P Czech Ostrava 4 Optional study plan
2001/2002 (M2612) Electrical Engineering and Computer Science (2601T004) Measurement and Control Engineering P Czech Ostrava Choice-compulsory study plan
2001/2002 (M2612) Electrical Engineering and Computer Science (2612T018) Electronics and Communication Technology P Czech Ostrava Choice-compulsory study plan
2001/2002 (M2612) Electrical Engineering and Computer Science (2642T004) Electrical Machines, Apparatus and Drives (10) Elektrické stroje a přístroje P Czech Ostrava Choice-compulsory study plan
2001/2002 (M2612) Electrical Engineering and Computer Science (2642T004) Electrical Machines, Apparatus and Drives (20) Elektrické pohony a výkonová elektronika P Czech Ostrava Choice-compulsory study plan
2001/2002 (M2612) Electrical Engineering and Computer Science (3902T023) Computer Science P Czech Ostrava Choice-compulsory study plan
2001/2002 (M2612) Electrical Engineering and Computer Science (3907T001) Electrical Power Engineering P Czech Ostrava Choice-compulsory study plan
2000/2001 (M2612) Electrical Engineering and Computer Science (2601T004) Measurement and Control Engineering P Czech Ostrava 4 Choice-compulsory study plan
2000/2001 (M2612) Electrical Engineering and Computer Science (2601T004) Measurement and Control Engineering (10) Měřící a řídící technika P Czech Ostrava 4 Choice-compulsory study plan
2000/2001 (M2612) Electrical Engineering and Computer Science (2601T004) Measurement and Control Engineering (20) Řídící a informační systémy P Czech Ostrava 4 Choice-compulsory study plan
2000/2001 (M2612) Electrical Engineering and Computer Science (2601T004) Measurement and Control Engineering (30) Měřící a řídící technika v biomedicíně P Czech Ostrava 4 Choice-compulsory study plan
2000/2001 (M2612) Electrical Engineering and Computer Science (2601T004) Measurement and Control Engineering (40) Automatizované systémy řízení P Czech Ostrava 4 Choice-compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner