Bachelor
2021/2022
Methods of Decision-Making
Category 'Best Course for Broadening Horizons and Diversity of Knowledge and Skills'
Category 'Best Course for New Knowledge and Skills'
Type:
Compulsory course (Public Administration)
Area of studies:
Public Administration
Delivered by:
Department of Mathematics
Where:
Faculty of Social Sciences
When:
3 year, 1, 2 module
Mode of studies:
distance learning
Open to:
students of one campus
Language:
English
ECTS credits:
5
Contact hours:
48
Course Syllabus
Abstract
The course includes main notions and stages of decision making, relevant mathematical models and methods, namely, linear and nonlinear programming, multi-objective and dynamical optimization methods, game considerations and their use in applied problems. Дистанционное обучение производится на платформах MS Teams, Webinar и Zoom. Ссылка на конкретные занятия заранее высылается преподавателем по почте.
Learning Objectives
- To familiarize students with basic concepts, models and methods of decision making.
Expected Learning Outcomes
- Be able to choose rational options in practical decision-making problems
- Have skills in analysis of game-theoretic models
- Know principles of mathematical models construction in decision analysis
Course Contents
- Introduction
- Multicriterial Decision Making (MCDM)
- Network analysis
- Power distribution in international organizations
- Double-sided matchings
- Fair division
- Game-theoretic models
- Data Envelopment Analysis
Interim Assessment
- 2021/2022 2nd module0.2 * test 2 + 0.2 * test 1 + 0.5 * final exam + 0.1 * homework
Bibliography
Recommended Core Bibliography
- Aleskerov F., Bouyssou D., Monjardet B. ‘Utility Maximization, Choice and Preference’, Springer Verlag, Berlin, 2007
Recommended Additional Bibliography
- Osborne, M. J. (2009). An introduction to game theory / Martin J. Osborne. New York [u.a.]: Oxford Univ. Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edswao&AN=edswao.324093616