Óbudai Egyetem - Keleti Károly Gazdasági Kar
Intézet: Vállalkozásmenedzsment Intézet (1084 Budapest, Tavaszmezõ u. 15-17.) Kreditérték: 2
Tagozat: Nappali Nyelv: English Félév: 2016/17/2
 
Szakok: ERASMUS; Gazdálkodási és menedzsment BA alapszak; Kereskedelmi és marketing; Mûszaki menedzser BSc alapszak;
 
Tantárgyfelelős oktató: Dr. Nagy Viktor Oktatók: Dr. Nagy Viktor;
 
Előtanulmányi feltételek: -
Heti/Féléves óraszámok: Heti Előadás: 1 Tantermi gyakorlat: 1 Labor: 0 Konzultáció: 0
 
Félévzárás módja (követelmény): félévközi jegy
 
Oktatási cél: Upon completion of this course, students should understand the main concepts and be able to recognize basic biases and distortions in the process of
human decision making and know the fundamentals of decision theory.
Félévközi követelmények
(feladat, zh. dolgozat, esszé, stb):
Students are required to attend all classes. Should a student accumulate 5 absences (excused and/or unexcused) out of 14 in the semester class,
he/she will not receive academic credits. Students are required to pass two tests. The first one is based on the theory. As a second test students
are given a specified problem to be solved using Doctus Knowledge Based System. Students may get homework, which should be handed in until the next
lesson or presented in some minutes.
 
Oktatási hét
(konzultáció)
Témakör
1. Normative and descriptive decision theory
2. Rational Choice
3. Mathematical Background. Games: Prisoner’s Dilemma, Battle of the Sexes, Leader, Game of Chicken, The Tragedy of the Commons, Rendezvous problem
4. Judgement under Uncertainty: Heuristics and Biases
5. Prospect Theory
6. Creativity and Psychology
7. Test 1
8. Decision Support Systems (DSS), The role of the human decision maker in DSS
9. Rule-based reasoning (deduction) – Doctus Knowledge Based System
10. Rule-based reasoning (deduction) – Doctus Knowledge Based System
11. Case-based reasoning (induction) – Doctus Knowledge Based System
12. Case-based reasoning (induction) – Doctus Knowledge Based System
13. Test 2
14. Makeup exams
 
Az értékelés, a lebonyolítás,
a pótlás módja,
a jegy kialakításának szempontjai:
Grade in this course are calculated numerically based on total points/percentages of the two tests although the instructor may raise or decrease it by one grade based on the active/inactive participation in classes or the level of the homework.
5 (excellent): 87 – 100 %
4 (good): 75 – 86 %
3 (satisfactory): 63 – 74 %
2 (pass): 51 – 62 %
1 (fail): 50 or less %
Should a student accumulate 50 or less percentages in a test, an additional chance per test is given to him/her to meet the requirements.
 
Kötelező irodalom: This course does not require any textbooks. Students are provided with access to relevant articles and online materials as required.
Ajánlott irodalom: Simon, Herbert A. (1959): Theories of Decision-Making in Economics and Behavioral Science. In.: The American Economic Review, Vol. 49, No. 3
Tversky, Amos – Kahneman Daniel (1974): Judgement under Uncertanty: Heuristics and Biases. Science, New Series, Vol. 185, No.4157
March, James G. (1994): A Primer on Decision Making: How Decisions Happen. New York, NY: The Free Press
Schwartz, Barry (2004): The Paradox of Choice. Why more is less. Harper & Collins, New York, USA
Gladwell, Malcolm (2005): Blink: The Power of Thinking Without Thinking. Little, Brown and Company, New York
Crainer, Stuart (1999): The 75 Greatest Management Decisions Ever Made: and the 21 of the Worst. Amcaom Publishing
Hastie, Reid – Dawes, Robyn M. (2010): Rational Choice in an Uncertain World: The Psychology of Judgment and Decision Making. Sage Publications 2nd
ed.
Laux, Helmut (2007): Entscheidungstheorie. Springer-Verlag, Berlin Heidelberg, 7. Auflage