Course: Decision Making Processes

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Course title Decision Making Processes
Course code USII/KROP
Organizational form of instruction Lecture
Level of course Bachelor
Year of study 2
Semester Summer
Number of ECTS credits 3
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)
  • Křupka Jiří, doc. Ing. PhD.
Course content
Decision-making and the decision-making process. Approaches to decision-making with certainty, risk and uncertainty. Multi-criteria decision-making with certainty. Multi-criteria decision-making with uncertainty. Synthesis and analysis of multi-criteria decision-making methods.

Learning activities and teaching methods
Dialogic (discussion, interview, brainstorming), Methods of individual activities, Laboratory work
Learning outcomes
The aim of the course is to provide the students with theoretical knowledge in decision-making theory and the skills necessary for the proposal of decision-making method algorithms in MATLAB.
The students will be able to mathematically express the decision-making problem and to select a suitable solution method that the stress is on multi-criteria decision-making with certainty and uncertainty. They will be able to develop an algorithm of this problem, based on which a "script" in MATLAB can then be designed.
Prerequisites
unspecified

Assessment methods and criteria
Written examination, Home assignment evaluation, Work-related product analysis

There will be 3-hours and 3-hours meetings during the semester. During tutorials the issue of key topics will be explained, more detailed information will be provided on preparing materials for the project "The proposal of decision-support algorithms", and the issue of a specific topic in the decision-making area will be solved. At the end of the semester during a meeting students will be required to design decision-support algorithms. Assignment is conditional completion of continuous seminar exercises, successful presentation of a semester project to the subject "Decision-support algorithm design". Examination: oral or written.
Recommended literature
  • FOŘT, J. etc. Manažerské rozhodování. Praha: Ekopress, 2000. ISBN 8086119203.
  • FOTR, J. - ŠVECOVÁ. L. etc. Manažerské rozhodování. Postupy, metody a nástroje. Ekopress, 2. vydání, 2010.
  • KŘUPKA, J.- OBRŠÁLOVÁ, I. etc. Assessment if Investment Alternatives in Environmental System based on Multiple Criteria Decision Making. In: Olej, V., Obrsalova, I., Krupka, J. (Eds.) Modelling of Selected areas of Sustainable Development by Artificial Intelligence and Soft Computing. Univerzita Pardubice: Grada Publishing, 2009, s. 133-150. ISBN 978-80-247-3167-4.
  • RAMÍK, J. Analytic hierarchy process (AHP) v malém a středním podnikání. Opava, 2000. ISBN 807248088X.
  • SAATY, T. L. The Analytic Hierarchy Process. New York : McGraw-Hill International Book Company, 1980. ISBN 0070543712.
  • TRUBAN, E.- ARONSON, J. E. Decision Support Systems and Intelligent Systems. 5th edition. New Jersey: Prentice-Hall, Inc. A Simon & Schuster Company, 1998. ISBN 0137409370.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Economics and Administration Study plan (Version): Information and Security Systems (2015) Category: Economy 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Economics and Administration Study plan (Version): Information and Security Systems (2014) Category: Economy 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Economics and Administration Study plan (Version): Regional and Information Management (2015) Category: Economy 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Economics and Administration Study plan (Version): Regional and Information Management (2013) Category: Economy 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Economics and Administration Study plan (Version): Information and Security Systems (2013) Category: Economy 2 Recommended year of study:2, Recommended semester: Summer
Faculty: Faculty of Economics and Administration Study plan (Version): Regional and Information Management (2014) Category: Economy 2 Recommended year of study:2, Recommended semester: Summer