Úvod FMEPCG 2107321


Title of the subject: Theory of decision making

Semester_of_study (WT – winter/ST – summer): WT, ST

Learning outcomes: Students will learn how to use exact methods for making decisions under various conditions.

Brief content of course: Introduction, basic pillars of the decision theory, formulation of decision problems. Introduction to the matrix games (game theory), solving matrix games with pure and mixed strategies. Decision tables - decision making under perfect information and under uncertainity. Decision trees - one level decision making, multiple level decision making. Conditional probability (using the additional information for decision making). Linear programming - graphical method, solving practical problems. Graph theory. Solving decision problems using the tools from graph theory.

Literature: 1. Turban, E., Meredith, J.: Fundamentals of Management Science. IRWIN, Inc., Boston, 1991. 2. Bierman, H. S., Fernandez, L.: Game theory with economic applications. Addison-Wesley, Reading, 1993. 3. Berger, O. J.: Statistical Decision Theory and Bayesian Analysis, Springer Series in Statistics, 2. edition, 2013. 4. Škovránek, T.: Vybrané kapitoly z teórie rozhodovania, Technická univerzita v Košiciach, 1. vydanie, 2020.