638-0908/01 – Optimization (OPT)

Gurantor departmentDepartment of Automation and Computing in IndustryCredits10
Subject guarantordoc. Ing. Milan Heger, CSc.Subject version guarantordoc. Ing. Milan Heger, CSc.
Study levelpostgraduateRequirementChoice-compulsory
YearSemesterwinter + summer
Study languageCzech
Year of introduction1999/2000Year of cancellation2012/2013
Intended for the facultiesFMT, HGFIntended for study typesDoctoral
Instruction secured by
LoginNameTuitorTeacher giving lectures
HEG30 doc. Ing. Milan Heger, CSc.
Extent of instruction for forms of study
Form of studyWay of compl.Extent
Full-time Credit and Examination 2+0
Part-time Credit and Examination 28+0

Subject aims expressed by acquired skills and competences

Student will be able to formulate basic axioms of optimization, will be able to choose among individual accesses and optimization methods in the process of control of technological processes, will be able to design and construct optimal control systems, will be able to apply principles of artificial intelligence in praxis.

Teaching methods

Individual consultations
Project work

Summary

Basic principles of optimization, choices between individual approaches and optimization methods in the management of technological processes, suggestions for optimal control systems, application of principles of artificial intelligence in practice are discussed.

Compulsory literature:

KIRK, D. E. Optimal control theory: an introduction. Dover ed. Mineola: Dover Publications, 2004. ISBN 0-486-43484-2. RUSSELL, S. J. a P. NORVIG. Artificial intelligence: a modern approach. 3rd ed., Pearson new international ed. Harlow: Pearson, 2014. ISBN 978-1-292-02420-2. NORGAARD, M. Neural networks for modelling and control of dynamic systems: a practitioner's handbook. London: Springer, 2000. ISBN 1-85233-227-1.

Recommended literature:

WINTER, G. and ed. Genetic algorithms in engineering and computer science. Chichester: Wiley, 1995. ISBN 0-471-95859-X. BARNES B. a G. R. FULFORD. Mathematical Modelling with Case Studies: Using Maple and Matlab. Chapman and Hall/CRC, 2015. BERTSEKAS, D. P. Nonlinear programming. 2nd ed. Belmont: Athena Scientific, 1999. ISBN 1-886529-00-0.

Way of continuous check of knowledge in the course of semester

E-learning

Other requirements

Prerequisities

Subject has no prerequisities.

Co-requisities

Subject has no co-requisities.

Subject syllabus:

Conditions for subject completion

Part-time form (validity from: 1960/1961 Summer semester, validity until: 2012/2013 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 (145) 51 3
        Examination Examination 100  0 3
        Exercises evaluation Credit 45  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 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2010/2011 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2010/2011 (P3925) Management of Industrial Systems P Czech Ostrava Optional study plan
2010/2011 (P3925) Management of Industrial Systems K Czech Ostrava Optional study plan
2009/2010 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2009/2010 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2009/2010 (P3925) Management of Industrial Systems P Czech Ostrava Optional study plan
2009/2010 (P3925) Management of Industrial Systems K Czech Ostrava Optional study plan
2008/2009 (P3925) Management of Industrial Systems P Czech Ostrava Choice-compulsory study plan
2008/2009 (P3925) Management of Industrial Systems K Czech Ostrava Choice-compulsory study plan
2008/2009 (P3925) Management of Industrial Systems P Czech Ostrava Optional study plan
2008/2009 (P3925) Management of Industrial Systems K Czech Ostrava Optional study plan
2007/2008 (P3925) Management of Industrial Systems (3902V777) Řízení jakosti P Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V888) Řízení a ekonomika podniku P Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V999) Automatizace technologických procesů P Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V777) Řízení jakosti K Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V888) Řízení a ekonomika podniku K Czech Ostrava Choice-compulsory study plan
2007/2008 (P3925) Management of Industrial Systems (3902V999) Automatizace technologických procesů K Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V777) Řízení jakosti P Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V888) Řízení a ekonomika podniku P Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V999) Automatizace technologických procesů P Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V777) Řízení jakosti K Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V888) Řízení a ekonomika podniku K Czech Ostrava Choice-compulsory study plan
2006/2007 (P3925) Management of Industrial Systems (3902V999) Automatizace technologických procesů K Czech Ostrava 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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