Master 2024/2025

Games and Decisions in Data Analysis and Modelling

Type: Elective course (Data Science)

Area of studies: Applied Mathematics and Informatics

Delivered by: Department of Mathematics

Where: Faculty of Computer Science

When: 1 year, 3, 4 module

Mode of studies: distance learning

Online hours: 30

Open to: students of one campus

Instructors: Sergey Shvydun

Master’s programme: Data Science

Language: English

ECTS credits: 6

Contact hours: 64

Course Syllabus

Abstract

The aim of the course "Games and Decisions in Data Analysis and Modeling" is to familiarize students with modern models of game theory and decision theory, their applications in modeling and analyzing socio-economic problems, as well as their use in analytical and decision support systems. The course covers fundamental topics in decision theory: individual preferences modelling using binary relations and choice functions, social choice theory, especially the theory of local voting procedures and the theory of majority rule-based solutions. Also, students will consider the problems of decision-making in the network models of participants interaction and models of strategic behavior of players, taking into account the network structure of connections. Game theory studies the strategic interaction of rational agents and plays a central role in the economics, but it is also widely used in biology, political science, military affairs, etc. In this course, we will study non-cooperative and cooperative games, as well as the mechanism design, which is the reverse task, i.e. the development of rules for the interaction of agents that leads to the desired result. Successful completion of the course contributes to the development of useful strategic thinking in life.