Course: Decision Systems

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Course title Decision Systems
Course code KKY/ROSZ
Organizational form of instruction no contact
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 0
Language of instruction Czech
Status of course unspecified
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Zemčík František, prof. Ing. CSc.
Course content
Topics of the final examination are announced annually by department of cyberneticscs.

Learning activities and teaching methods
Skills demonstration
prerequisite
Knowledge
Students must meet all prerequisites of the curriculum field Control and Decision Systems, guaranteed by the Department of cybernetics and all the conditions of Study and Examination Regulations of the University of West Bohemia in Pilsen.
learning outcomes
Successful handling of the final examination shows that the student while studying in sufficiently mastered all the knowledge, skills and competencies in accordance with the requirements of the degree program and specialization.
teaching methods
Skills demonstration
assessment methods
Oral exam
Recommended literature
  • Bishop, C.M. Pattern Recognition and Machine Learning. Springer, 2006. ISBN 978-0387-31073-2.
  • Duda, R.O., Hart, P.E., Stork, D.G. Pattern Classification. Wiley, 2000. ISBN 978-0-471-05669-0.
  • Jan. Číslicová filtrace, analýza a restaurace. Brno, 2002. ISBN 80-214-2911-9.
  • Kotek, Zdeněk, Mařík, Vladimír. Metody rozpoznávání a jejich aplikace. Academia, Praha, 1993. ISBN 80-200-0297-9.
  • Mařík V. a kol. Umělá inteligence 1. Academia, Praha, 1993. ISBN 80-200-0496-3.
  • Theodoridis, S., Kouroumbas, K. Pattern recognition. Elsevier, 2008. ISBN 978-1-597-49272-0.
  • Uhlíř, Jan; Sovka, Pavel; Čmejla, Roman. Úvod do číslicového zpracování signálů. Praha : Vydavatelství ČVUT, 2003. ISBN 80-01-02799-6.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester