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Course description

Competencies and objectives


Course context for academic year 2018-19

Game Theory is one of the four optional subjects in the itinerary of Mathematics applied to Social Sciences. The other three subjects are Time Series, Social Choice Theory and Economics of Information and Uncertainty.

The subject is concerned with situation of strategic interdepence. This means that each agent recongnizes that her final payoffs or earnings depend not only on her own actions, but also on the actions of the other agents.

Game Theory is one of the most powerful tools in modern economic analysis and its applications extend to many situations that we will explore during this course.



Course content (verified by ANECA in official undergraduate and Master’s degrees)

Specific Competences (CE)

  • CE10 : Communicate, both orally and in writing, mathematical knowledge, procedures, results and ideas.
  • CE11 : Ability to solve academic, technical, financial and social problems using mathematical methods.
  • CE12 : Ability to work in a team, providing mathematical models adapted to the needs of the group.
  • CE15 : Recognise and analyse new problems and prepare strategies to resolve them.
  • CE5 : Propose, analyse, validate and interpret models of simple real-life situations, using the most appropriate mathematical tools for the purpose.
  • CE7 : Use computer applications for statistical analysis, numerical calculus and symbolic calculus, graphic visualisation and others to experiment in Mathematics and solve problems.
  • CE9 : Use bibliographic search tools for Mathematics.




Learning outcomes (Training objectives)

No data



Specific objectives stated by the academic staff for academic year 2018-19

- To understand the most important models, concepts and results of game theory

- To be able to model and analyse multiperson decision problems as games

- To be familiar with the connections between game theory and the social sciences

- To apply game theoretic analysis to problems of competitive and cooperative interaction presented in the social sciences





Code: 25071
Lecturer responsible:
Credits ECTS: 6,00
Theoretical credits: 1,44
Practical credits: 0,96
Distance-base hours: 3,60

Departments involved

    Theoretical credits: 1,44
    Practical credits: 0,96
    This Dept. is responsible for the course.
    This Dept. is responsible for the final mark record.

Study programmes where this course is taught