545-0907/01 – Applied Artificial Intelligence (AUI)

Gurantor departmentDepartment of Economics and Control SystemsCredits10
Subject guarantordoc. Dr. Ing. Vladimír KeboSubject version guarantordoc. Dr. Ing. Vladimír Kebo
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction2008/2009Year of cancellation
Intended for the facultiesHGF, FMT, FSIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
HEG30 doc. Ing. Milan Heger, CSc.
KEB30 doc. Dr. Ing. Vladimír Kebo
LAN25 doc. Ing. Lenka Landryová, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Examination 20+0
Combined Examination 20+0

Subject aims expressed by acquired skills and competences

Subject Applied Artificial Intelligence (AAI) is designed according to the specific focus on the student's selected area of ​​artificial intelligence. The student acquires the knowledge and skills to analyze technical task in terms of applications selected disciplines AAI, synthesize and verify the application in laboratory conditions, especially with the use of simulation and modeling. Results of laboratory experiments and skills acquired by students are used in the processing of the dissertation.

Teaching methods

Lectures
Individual consultations
Project work

Summary

Subject describes applications of artificial inteligence in industry and cybernetics systems. Key topics are knowledge processing, knowledge systems, expert systems applications, semantic nets and frames, data mining and fuzzy systems application, artificial neural networks, machine learnig and learnig systems, image processing and computer graphics, evolutiona and genetic algorithms, artificial life, biocybernetics.

Compulsory literature:

MAŘÍK,V. a kol. : Umělá inteligence 2. Academia Praha, 1997, 374 s. ISBN 80-200-0504-8 NOVÁK,V.: Základy fuzzy modelování, BEN Praha, 2000 POKORNÝ, M.: Řídicí systémy se znalostní bází. Skripta VŠB-TU ,Ostrava, 1995, 128 s. ISBN 80-7078-275-7

Recommended literature:

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

Way of continuous check of knowledge in the course of semester

1. Zadání samostatné práce v souvislosti s tématem disertační práce. 2. Konzultace zvoleného řešení a jeho úpravy. 3. Předložení odborné práce v rozsahu cca 20 stran. 4. Obhájení odborné práce při zkoušce z předmětu.

E-learning

Další požadavky na studenta

Individuální, dle specifikace vedoucího cvičení.

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

1. Course Artificial Intelligence (AI), the definition, classification. 2. Fuzzy logic (FL), fuzzification, defuzzyfication, inference rules, fuzzy controllers. 3. Evolution algorithms (EA). Method of differential evolution (DE), self-organizing migration algorithm (SOMA). Genetic algorithms (GA), inheritance, crossover, mutation, selection, fitness function. 4. Artificial Neural Networks (ANN), division, operating principles, characteristics, processing of uncertain information in a neural network, learning in neural networks. 5. Multi-Agent Systems (MAS), distributed artificial intelligence, the concept of agent, distribution agent, adaptability, communication. 6. Expert systems, principles, knowledge base, knowledge-based systems. 7. Software tools used in the implementation of the AI. 8. Solving of problems of interpretation, diagnosis, prediction. 9. Task planning and recognition. 10. Control and optimization solving with using AI.

Conditions for subject completion

Combined form (validity from: 2013/2014 Winter semester)
Task nameType of taskMax. number of points
(act. for subtasks)
Min. number of points
Examination Examination  
Mandatory attendence parzicipation:

Show history

Occurrence in study plans

Academic yearProgrammeField of studySpec.FormStudy language Tut. centreYearWSType of duty
2019/2020 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes P Czech Ostrava Choice-compulsory study plan
2019/2020 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes K Czech Ostrava Choice-compulsory study plan
2018/2019 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes P Czech Ostrava Choice-compulsory study plan
2018/2019 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes K Czech Ostrava Choice-compulsory study plan
2017/2018 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes P Czech Ostrava Choice-compulsory study plan
2017/2018 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes K Czech Ostrava Choice-compulsory study plan
2016/2017 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes P Czech Ostrava Choice-compulsory study plan
2016/2017 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes K Czech Ostrava Choice-compulsory study plan
2015/2016 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes P Czech Ostrava Choice-compulsory study plan
2015/2016 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes K Czech Ostrava Choice-compulsory study plan
2014/2015 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes P Czech Ostrava Choice-compulsory study plan
2014/2015 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes K Czech Ostrava Choice-compulsory study plan
2013/2014 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes P Czech Ostrava Choice-compulsory study plan
2013/2014 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes K Czech Ostrava Choice-compulsory study plan
2012/2013 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes P Czech Ostrava Choice-compulsory study plan
2012/2013 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes K Czech Ostrava Choice-compulsory study plan
2011/2012 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes P Czech Ostrava Choice-compulsory study plan
2011/2012 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes K Czech Ostrava Choice-compulsory study plan
2010/2011 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes P Czech Ostrava Optional study plan
2010/2011 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes K Czech Ostrava Optional study plan
2009/2010 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes P Czech Ostrava Optional study plan
2009/2010 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes K Czech Ostrava Optional study plan
2008/2009 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes P Czech Ostrava Optional study plan
2008/2009 (P2102) Mineral Raw Materials (3902V010) Automation of Technological Processes K Czech Ostrava Optional study plan

Occurrence in special blocks

Block nameAcademic yearForm of studyStudy language YearWSType of blockBlock owner
Subject block without study plan - FS - K - cs 2017/2018 Combined Czech Optional FS - Faculty of Mechanical Engineering stu. block