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Магистратура 2026/2027

Игры и решения в задачах анализа данных и моделирования

Статус: Курс по выбору (Науки о данных (Data Science))
Когда читается: 1-й курс, 3, 4 модуль
Онлайн-часы: 30
Охват аудитории: для всех кампусов НИУ ВШЭ
Язык: английский
Кредиты: 6
Контактные часы: 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.
Learning Objectives

Learning Objectives

  • 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
Expected Learning Outcomes

Expected Learning Outcomes

  • Knows how to find Nash equilibtia in normal form games
  • Knows the main centrality measures in networks
  • Knows the main solution concepts in cooperative games
  • Knows the main voting procedures and voting properties
  • Knows the models of individual preferences
Course Contents

Course Contents

  • Multi-Criteria Decision Analysis
  • Preference modelling
  • Social Choice Theory
  • Networks
  • Non-cooperative game theory
  • Repeated Games
  • Cooperative games
  • Introduction to mechanism design
Assessment Elements

Assessment Elements

  • non-blocking Home assignment 1
  • non-blocking Final examination
    The examination is conducted in written form and consists of several exercises and/or problems to be solved. The instructor evaluates the completeness and correctness of the students’ solutions, including the accuracy of calculations and the appropriate application of relevant methods. During the examination, students are not allowed to use mobile phones or other unauthorized electronic devices or to communicate with classmates or other persons.
  • non-blocking Mid-term examination
    The mid-term examination is conducted in written form and consists of several exercises and/or problems to be solved. The instructor evaluates the completeness and correctness of the students’ solutions, including the accuracy of calculations and the appropriate application of relevant methods. During the mid-term examination, students are not allowed to use mobile phones or other unauthorized electronic devices, or to communicate with classmates or other persons.
  • non-blocking Home assignment 2
Interim Assessment

Interim Assessment

  • 2026/2027 4th module
    0.2 * Home assignment 2 + 0.2 * Mid-term examination + 0.2 * Home assignment 1 + 0.4 * Final examination
Bibliography

Bibliography

Recommended Core Bibliography

  • An introduction to game theory, Osborne, M. J., 2009
  • Fuad Aleskerov, Denis Bouyssou, & Bernard Monjardet. (2007). Utility Maximization, Choice and Preference. Post-Print. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.p.hal.journl.halshs.00197186
  • Martin J Osborne, & Ariel Rubinstein. (2009). A Course in Game Theory. Levine’s Bibliography. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.p.cla.levrem.814577000000000225
  • Maschler,Michael, Solan,Eilon, & Zamir,Shmuel. (2013). Game Theory. Cambridge University Press. Retrieved from http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsrep&AN=edsrep.b.cup.cbooks.9781107005488

Recommended Additional Bibliography

  • Utility maximization, choice and preference, Aleskerov, F., 2002

Authors

  • Kolotvina Oksana Albertovna
  • SHVYDUN SERGEY VLADIMIROVICH