545-0029/01 – Applied Artificial Intelligence (AUI)

Gurantor departmentDepartment of Economics and Control SystemsCredits6
Subject guarantorIng. Pavel Staša, Ph.D.Subject version guarantordoc. Dr. Ing. Vladimír Kebo
Study levelundergraduate or graduateRequirementCompulsory
Year5Semesterwinter
Study languageCzech
Year of introduction1999/2000Year of cancellation2009/2010
Intended for the facultiesHGFIntended for study typesMaster
Instruction secured by
LoginNameTuitorTeacher giving lectures
KEB30 doc. Dr. Ing. Vladimír Kebo
REP75 Ing. Michal Řepka, Ph.D.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 3+3

Subject aims expressed by acquired skills and competences

The goal is to build an advanced knowledge of control theory and system theory and basic knowledge of artificial intelligence. This knowledge is further developed for application areas of problems, job scheduling, theorem proving, inductive learning, neural networks and the application of evolutionary methods and algorithms and artificial life.

Teaching methods

Lectures
Seminars
Tutorials
Project work

Summary

The course introduces basic theoretical and application possibilities of artificial intelligence. After a basic classification of fields of application of modern discipline the subject develops its basic development. Students will learn methods of knowledge representation, knowledge systems, knowledge discovery and data from databases, issues of vision and machine learning, adaptive and learners systems to virtual reality applications. Matter is practiced on practical application examples, including aspects of the mineral resources industry. In conclusion students are familiar with the use of evolutionary algorithms and artificial areas life.

Compulsory literature:

RUSSEL, S., NORVIG, P.: Artificial Intelligence, a Modern Approach, Pearson Education Inc., 2003, ISBN 0-13-080302-2, 932 pp POKORNÝ, Miroslav a Pavel PETRÁNEK. Systems with artificial intelligence, Ostrava: VŠB-TU Ostrava, FEI, 2004.

Recommended literature:

FRANKLIN, G.F., a kol.: Feedback Control of Dynamic Systems, Pearson Prentice Hall 2006, ISBN 0-13-149930-0, 910 s.

Way of continuous check of knowledge in the course of semester

E-learning

Další požadavky na studenta

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Kořeny UI, základní směry 2. Metody reprezentace a zpracování znalostí, znalostní systémy 3. Kvalitativní modelování, plánovací systémy 4. Expertní systémy, sémantické sítě, rámce, pravidlové a inferenční sítě 5. Vyhledávání znalostí a dat z databází 6. Fuzzy systémy a jejich aplikace 7. Umělé neuronové sítě, model neuronu, algoritmus zpětného šíření,struktury ANN 8. Aplikace umělých neuronových sítí 9. Strojové učení a učící se systémy, učení s učitelem a bez učitele 10. Rozpoznávání a počítačové vidění, příznaky, struktury, počítačové vidění, vizualizace 11. Umělý život, systém SWARM, biokybernetika 12. Virtuální realita, jazyky VR, aplikace VR 13. Evoluční systémy a algoritmy, genetické algoritmy 14. Aplikace umělé inteligence v průmyslu a oblasti kybernetických systémů

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
2008/2009 (M2102) Mineral Raw Materials (3902T033) systems Engineering in Raw Materials Treatment Industry P Czech Ostrava 5 Compulsory study plan
2007/2008 (M2102) Mineral Raw Materials (3902T033) systems Engineering in Raw Materials Treatment Industry P Czech Ostrava 5 Compulsory study plan
2007/2008 (B2102) Mineral Raw Materials (6209R013) Information and System Management P Czech Ostrava 3 Choice-compulsory study plan
2006/2007 (M2102) Mineral Raw Materials (3902T033) systems Engineering in Raw Materials Treatment Industry P Czech Ostrava 5 Compulsory study plan
2006/2007 (B2102) Mineral Raw Materials (6209R013) Information and System Management P Czech Ostrava 3 Choice-compulsory study plan
2005/2006 (M2102) Mineral Raw Materials (3902T033) systems Engineering in Raw Materials Treatment Industry P Czech Ostrava 5 Compulsory study plan
2005/2006 (B2102) Mineral Raw Materials (6209R013) Information and System Management P Czech Ostrava 3 Choice-compulsory study plan
2004/2005 (M2102) Mineral Raw Materials (3902T033) systems Engineering in Raw Materials Treatment Industry P Czech Ostrava 5 Compulsory study plan
2004/2005 (B2102) Mineral Raw Materials (6209R013) Information and System Management P Czech Ostrava 3 Choice-compulsory study plan
2003/2004 (M2102) Mineral Raw Materials (3902T033) systems Engineering in Raw Materials Treatment Industry P Czech Ostrava 5 Compulsory study plan
2002/2003 (M2102) Mineral Raw Materials (3902T033) systems Engineering in Raw Materials Treatment Industry P Czech Ostrava 5 Compulsory study plan
2001/2002 (M2102) Mineral Raw Materials (3902T033) systems Engineering in Raw Materials Treatment Industry P Czech Ostrava 5 Compulsory study plan
2000/2001 (M2102) Mineral Raw Materials (3902T033) systems Engineering in Raw Materials Treatment Industry P Czech Ostrava 5 Compulsory study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner