N_SAM System analysis and modeling

Institute of Technology and Business in České Budějovice
winter 2021
Extent and Intensity
2/4/0. 7 credit(s). Type of Completion: zk (examination).
Teacher(s)
Ing. Jiří Čejka, Ph.D. (seminar tutor)
Guaranteed by
doc. RNDr. Zdeněk Dušek, Ph.D.
Department of Informatics and Natural Sciences – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice
Supplier department: Department of Informatics and Natural Sciences – Faculty of Technology – Rector – Institute of Technology and Business in České Budějovice
Course Enrolment Limitations
The course is offered to students of any study field.
Course objectives supported by learning outcomes
The aim of the course is to acquaint students with the issues of more advanced optimization methods, game theory and models of mass service and methods that are applicable in logistics. The graduate of the course demonstrates advanced knowledge in these areas. Can solve practical tasks and logistical problems related to these methods.
Learning outcomes
The graduate of the course demonstrates advanced knowledge in these areas. Can solve practical tasks and logistical problems related to these methods.
Syllabus
  • 1. Game theory (basic concepts, pure strategies) 2. Single matrix games (mixed strategies, graphic method) 3. Single matrix games (mixed strategies, simplex method) 4. Two-matrix games, a system with non-transferable winnings 5. Two-matrix games, system with portable winnings 6. Oligopoly model 7. Theory of collective service (models of collective service) 8. Theory of collective service (optimization in models of collective service) 9. Inventory theory 10. Structural analysis (principle and model s.a.) 11. Structural analysis (distribution and value equations) 12. DEA (CCR, BCC) 13. DEA (efficiency evaluation)
Literature
    required literature
  • DEMEL, J., 2018. Operační výzkum. [online]. [cit. 2018-05-06]. Dostupné z: https://kix.fsv.cvut.cz/~demel/ped/ov/ov110215.pdf.
  • ŠUBRT, T. a kol., 2015. Ekonomicko-matematické metody. 2 vyd. Plzeň: Aleš Čeněk. ISBN 978-80-7380-563-0.
  • FAJMON, B. a J. KOLÁČEK, 2018. Pravděpodobnost, statistika a operační výzkum. [online]. [cit. 2018-05-06]. Dostupné z: http://www.rozhovor.cz/ma+fy/mpso.pdf.
    recommended literature
  • FRIEBELOVÁ, J. a J. KLICNAROVÁ, 2007. Rozhodovací modely pro ekonomy, 1. vydání. České Budějovice: Jihočeská univerzita v Českých Budějovicích. ISBN 978-80-7394-035-5.
  • JABLONSKÝ, J., 2002. Operační výzkum, 3. vyd. Praha: Professional Publishing. ISBN 978-80-8694-644-3.
  • PLEVNÝ M. a M. ŽIŽKA, 2010. Modelování a optimalizace v manažerském rozhodování. Plzeň: Vydavatelství Západočeské Univerzity. ISBN 978-80-7043-933-3.
  • ZIMOLA, B., 2000. Operační výzkum. Zlín: Fame. ISBN 80-214-1664-5.
  • RAIS K. a R. DOSKOČIL, 2006. Operační a systémová analýza I, Brno: Akademické nakladatelství CERM. ISBN 80-214-3280-2.
  • FÁBRY, J., 2011. Matematické modelování. Praha: Professional Publishing, ISBN 978-80-7431-066-9.
Forms of Teaching
Samostudium (in Czech)
Teaching Methods
E-learning
Student Workload
ActivitiesNumber of Hours of Study Workload
Daily StudyCombined Study
Preparation for the Mid-term Test2626
Samostudium (in Czech)156156
Total:182182
Assessment Methods and Assesment Rate
Test – final 100 %
Exam conditions
test - final (100 b)
Language of instruction
Czech
The course is also listed under the following terms summer 2021, summer 2022, winter 2022, SUMMER 2023, summer 2024.
  • Enrolment Statistics (winter 2021, recent)
  • Permalink: https://is.vstecb.cz/course/vste/winter2021/N_SAM