Academic year/semester: 2024/25/1

ECTS Credits: 4

Available for: Only for the faculty’s students

Lecture hours: 2
Seminarium:0
Practice: 2
Laboratory: 0
Consultation: 0

Prerequisites: -

Course Leader: Dr. Péter Szikora

Faculty: Keleti Károly Faculty of Business and Management, 1084 Budapest, Tavaszmező utca 17.

Course Description:
The subject, methodology and function of the Theory of Decision Making in leadership. The definition and classification of decision making. The relationship between problems and
decisions. Systematic approach to problems. The decision making process and its phases. The function of information in decision making. Decision making situations and their characteristics.
Development and evaluation of action plans and strategies. Practicality in decisionmaking. Practicality function. Trends in decision making theory. Economic and administrative school.
Satisfactory and optimal decisions. Areas in operations research. Normative and descriptive decision making theories. The Von Neumann-Morgernstern axioma theorem. The location and
function of group decisions. Group anatomy. The function of conflicts. Group decision making techniques. Decision making diagrams. Network models in decision making processes and
leadership systems. Deterministic and stohastic models of genetic regulatory networks and their practical applications.

Competences:
-

Topics:
1. Decision
2. Procedure of decision making
3. Rationality
4. Uncertainty and risk
5. Models of decision making
6. Midterm Exam, Practical Exercise
7. Group
8. Creativity
9. Communications
10. Conflicts
11. Game Theory
12. Matching Theory
13. Final exam
14. Make-up exam (if applicable)

Assessment: Evaluation will be based on students demonstrating an understanding of course content through class participation, oral presentations and tests. If it seems that students are not keeping up with reading assignments, unannounced tests might be given!

Exam Types:

Oral Exam

Written Exam

Compulsory bibliography: Szikora Péter: Theory of Decision Making and Methodology, Óbudai Egyetem, Budapest, 2017 Elearning

Recommended bibliography: -

Additional bibliography: -

Additional Information: The lecture is e-learning, the study materials are available in the moodle system.