Course: Quantitative Methods in Management

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Course title Quantitative Methods in Management
Course code KEM/KMM
Organizational form of instruction Lecture + Lesson
Level of course Master
Year of study not specified
Semester Summer
Number of ECTS credits 6
Language of instruction Czech
Status of course Compulsory
Form of instruction Face-to-face
Work placements This is not an internship
Recommended optional programme components None
Lecturer(s)
  • Trnka David, Prof. Dr. Ing.
  • Zajíček Daniel, Ing. Mgr. Ph.D.
  • Rostás Chris, Ing.
Course content
Introduction to modelling and mathematical models in management. Stochastic models. Markov chains. Decision making processes in Markov systems. Simulation as a method of business process analysis. Simulation models. Simulation SW. Queuing systems, waiting line models. Optimization of waiting line models using simulation methods. Inventory theory. Inventory control optimization models and their optimization.

Learning activities and teaching methods
  • Preparation for comprehensive test (10-40) - 24 hours per semester
  • Preparation for an examination (30-60) - 40 hours per semester
  • Contact hours - 52 hours per semester
  • Graduate study programme term essay (40-50) - 40 hours per semester
prerequisite
Knowledge
to know the concepts of the business economics and management
to understand knowledge of mathematics and statistics at the bachelor level of the economic study programmes
to have knowledge of basic concepts and tools of management science
Skills
describe random variable using distribution and calculate its characteristics
select suitable distribution of random variable and use it for solution of practical problems
Competences
N/A
learning outcomes
Knowledge
to identify and to define specific managerial problems to be modelled as probabilistic model
to identify relevant information, links and relationships needed to solve a given problem
to evaluate and interpret the obtained solutions that are initially specified in terms of practice-oriented problem
Skills
to build a model of a given problem and choose the appropriate method for its solution
to solve the given probabilistic model using simulation techniques
Competences
N/A
teaching methods
Knowledge
Lecture
Practicum
Self-study of literature
Skills
Task-based study method
Individual study
Competences
N/A
assessment methods
Knowledge
Test
Combined exam
Skills
Skills demonstration during practicum
Seminar work
Competences
Seminar work
Recommended literature
  • Dlouhý, Martin. Simulace podnikových procesů. 2., rozš. vyd. Brno : Computer Press, 2011. ISBN 978-80-251-3449-8.
  • Lukáš, L. Pravděpodobnostní modely v managementu - Markovovy řetězce a systémy hromadné obsluhy. Academia Praha, 2009. ISBN 978-80-200-1704-8.
  • Lukáš, L. Pravděpodobnostní modely v managementu - Teorie zásob a statistický popis poptávky. Praha, 2012. ISBN 978-80-200-2005-5.
  • Neapolitan, Richard E. Probabilistic methods for financial and marketing informatics. 1st pub. San Francisco : Morgan Kaufmann, 2008. ISBN 978-0-08-055567-6.
  • Plevný, Miroslav; Žižka, Miroslav. Modelování a optimalizace v manažerském rozhodování. Vyd. 2. Plzeň : Západočeská univerzita, 2010. ISBN 978-80-7043-933-3.
  • Schwarz, Maike. Stochastic models in inventory theory. Aachen : Shaker Verlag, 2004. ISBN 3-8322-2876-4.


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