Infopaket

Decision Making Theory

ВБ2

Вибіркова дисципліна для ОП

First

2023/2024

6 Semester

6

PLO 5. To apply analytical and methodical tools for substantiating proposals and making managerial decisions by various economic agents (individuals, households, enterprises and government authorities). PLO 8. To apply appropriate economic and mathematical methods and models for solving economic problems. PLO 10. To analyze the functioning and development of economic entities, to identify functional areas, to calculate the relevant indicators that characterize the performance of their activities. PLO 13. To identify sources and understand the methodology of determination and methods for obtaining socio-economic data, collect and analyze the necessary information, calculate economic and social indicators.

Full-time form

1. Know: basic principles of functioning of economic systems at micro- and macro-levels; elements of mathematical analysis, probability theory and mathematical statistics, which are necessary for solving economic problems and decision-making. 2. To own skills of analysis, synthesis, processing and visualization of statistical data, work with statistical databases.

Module 1. Introduction to decision making theory Topic 1. Methodological bases of the theory of decision making. Topic 2. Setting tasks for making optimal decisions Topic 3. General classes of problems of decision theory and methods of their solution Topic 4. The essence and methods of modeling economic processes Module 2. Multicriteria decision-making tasks and methods of their solution Topic 5. Multicriteria decision making tasks Topic 6. Main criterion methods, maximin convolution method and

1. Accorsi R., Manzini R., Maranesi F. A Decision-support System for the Design and Management of Warehousing Systems. Computers in Industry. 2014. Vol. 65. Issue 1. P. 175–186. 2. Decision Diagrams for Optimization (Artificial Intelligence: Foundations, Theory, and Algorithms) / David Bergman, Andre A. Cire, Willem-Jan van Hoeve, John Hooker. – Springer, 2016. – 266 p. 3. Decision Making Theories and Methods Based on Interval-Valued Intuitionistic Fuzzy Sets / Shuping Wan, Jiuying Dong. - Singapore : Springer, 2020. – 330 p. 4. Decision Sciences. Theory and Practice / Raghu Nandan Sengupta, Aparna Gupta, Joydeep Dutta. - CRC Press, 2020. – 1026 p. 5. Financial Decisions and Markets: A Course in Asset Pricing / John Y. Campbell. - Princeton University Press, 2017. – 480 p.

Lectures, practice, individual student’s self-study

Discussion of problematic issues, oral examination, testing, problem solving, module test, exam,

English