Course: Mathematical Methods in Decision Making

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Course title Mathematical Methods in Decision Making
Course code KAE/MR
Organizational form of instruction Lecture + Seminar
Level of course Master
Year of study not specified
Semester Winter and summer
Number of ECTS credits 4
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)
Course content
Basic types of situations where making of decions is neccessary and mathematical models for their solving. Methods of multicriterial deciding under conditions of certaitnty. Principles for creation of a file of conditions, clasification of conditions. Methods of multicriterial evaluation intendet to cardinal conditions. Methods dedicated to ordinal conditions. Rules of deciding while a situation is risky.

Learning activities and teaching methods
Lecture
  • Attendace - 25 hours per semester
  • Homework for Teaching - 25 hours per semester
  • Semestral Work - 25 hours per semester
  • Preparation for the Exam - 25 hours per semester
Learning outcomes
The course is supposed to present basic theoretical methods used in mathematical support for decision making.
Ability to use matematical methods of morecriterial deciding and deciding under risks and while solving problems form practice.
Prerequisites
There are not any special condicions set.

Assessment methods and criteria
Oral exam

The course is ended with an oral exam. Semestral work.
Recommended literature
  • Fotr J. (1993). Příprava a hodnocení podnikatelských projektů. VŠE, Praha.
  • J. Fotr, J. Dědina, H. Hrůzová. (2000). Manažerské rozhodování. Ekopress, Praha.
  • J. Fotr, M. Píšek. (1986). Exaktní metody ekonomického rozhodování. Academia, Praha.
  • Ramík J. (1999). Vícekriteriální rozhodování - analytický rozhodovací proces (AHP). SU OPF, Karviná.
  • Talašová J. (2003). Fuzzy metody vícekriteriálního hodnocení a rozhodování. Vydavatelství Univerzity Palackého, Olomouc.


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