 
Abbreviation: TEODL  Load: 30(L)
+ 15(E)
+ 0(LE)
+ 0(CE)
+ 0(PEE)
+ 0(FE)
+ 0(S)
+ 0(DE)
+ 0(P)
+ 0(FLE)
+ 0()

Lecturers in charge:  pred. mr. sc. Petar Gregorek 
Lecturers:  pred. mr. sc. Petar Gregorek
(
Exercises
)

Course description: Course objectives: The goal is to set mathematical game theory, which might better be called the mathematical theory of conflict and cooperation. It is applicable whenever two individualsor companies, or political parties, or nationsconfront situations where the outcome for each depends on the behavior of all. What are the best strategies in such situations? If there are chances of cooperation, with whom should you cooperate, and how should you share the proceeds of cooperation?
Enrolment requirements and required entry competences for the course: None.
Student responsibilities: Attendance to lectures and give one seminar work.
Grading and evaluation of student work over the course of instruction and at a final exam: Grades are formed according seminar work and interactions on lectures/seminar works. Grades can be improved by oral enxamination.
Methods of monitoring quality that ensure acquisition of exit competences: The quality of public seminar work using PPT presentation or using Beamer.
Upon successful completion of the course, students will be able to (learning outcomes): Student, after they passed, will be able to form winning strategies that are applicable in different interactive "confrotations" in a broader sense of meaning.
Lectures 1. Twoperson games. Zero sum games. 2. Dominance and saddle points. Mixed strategies. Von Neumann theorem. 3. Application to antropology: Jamaican fishing. 4. Application to warfare: guerillas, police and missiles 5. Application to philosophy: Newcomb"s problem and free will 6. Game trees 7. Competetive decision making 8. Utility theory 9. Games against nature 10. Nash equilibria 11. The prisoner"s dilemma 12. Applications to social psychology 13. Strategic moves 14. Applications to biology: evolutionary stable strategies 15. Cooperative solutions
Exercises 1. Twoperson games. Zero sum games. 2. Dominance and saddle points. Mixed strategies. Von Neumann theorem. 3. Application to antropology: Jamaican fishing. 4. Application to warfare: guerillas, police and missiles 5. Application to philosophy: Newcomb"s problem and free will 6. Game trees 7. Competetive decision making 8. Utility theory 9. Games against nature 10. Nash equilibria 11. The prisoner"s dilemma 12. Applications to social psychology 13. Strategic moves 14. Applications to biology: evolutionary stable strategies 15. Cooperative solutions 
Compulsory literature: 
1.  Philip D. Straffin: "Game Theory and Strategy", MAA, 1993. 
Recommended literature: 
2.   
 