Market games - BMEGT30BX4U001-00

The course provides an introduction for students in engineering and natural sciences to economic patterns that are also relevant to their fields—such as the varying levels of development across countries or income inequality within societies. These patterns ultimately emerge as the result of interconnected decisions made by individual actors. Such decisions arise from the outcomes of games played between these actors. Within the framework of the course, we simulate and model various types of games, allowing students to actively engage in the decision-making and strategy development processes. A key objective of the course is to enhance students’ strategic thinking skills, enabling them to gain practical advantages in everyday strategic interactions.

1. The student understands the fundamental concepts commonly used in game theory, as well as the key principles and methods for solving game-theoretic problems.
2. The student is familiar with the P.A.P.I. analytical framework in relation to decision-making situations.
3. The student is aware of the role of asymmetric and incomplete information in the decision-making processes of economic and political actors.
4. The student has a basic understanding of graph-theoretical concepts used in network analysis.

1. The student is able to describe processes of economic and political decision-making, as well as micro- and macro-level games, using basic game-theoretic models.
2. The student is able to simplify everyday decision-making situations to their essential elements, represent them using payoff matrices and decision trees, and analyse the possible outcomes of the games and the strategies employed by the actors.
3. The student is able to identify optimal strategies for the actors within a given modelling framework and to determine the likely outcomes of the games based on these strategies.
4. The student is able to express ideas in a clear and well-structured manner, both orally and in writing.

1. 1. The student continuously expands their knowledge through ongoing learning.
2. 2. The student is open to using information technology tools.
3. 3. The student is able to make decisions even in complex situations, taking all relevant factors into full consideration and carefully weighing them.

1. The student is open to well-founded critical feedback.
2. The student collaborates with professionals from other disciplines when carrying out professional tasks.
3. The student applies a systems-based approach in their thinking.

Lectures, computational exercises and communication in written and oral form. use of IT technics, optional: individual and in group problem solving.

• 1. Tóth-Bozó Brigitta, Bánhidi Zoltán (szerk.): Piaci játszmák - A játékelmélet és alkalmazásai a modern világban, Akadémiai Kiadó Budapest, 2025. ISBN 978 963 664 121 4
• 2. Eric Rasmusen – Games and Information, Blackwell, 2006,
• 3. Barabási Albert-László (2016): A hálózatok tudománya. Libri, Budapest,
• 4. Hal. R Varian (2014), Intermediate Microeconomics with Calculus, WW Norton and Co. New York
• 5. Egyéb oktatási segédanyagok (gyakorló feladatok, mintazh, szorgalmi feladatok stb.) elérhetősége: https://edu.gtk.bme.hu/

Assessment of learning outcomes described under 2.2. is based on two written mid-term tests during the semester

Learning unit assessment: the complex assessment of knowledge, skills and attitude is written test containing a test part and an exercice part. The test part is intended to assess the knowledge of notions and principles, the exercice part is intended to assess students’ problem solving. The precise from, content and assessment of the written test is to be determined by the lecturer in accordance with the subject responsible.

• 1. learning unit assessment: 50
• 2. learning unit assessment: 50

• during the semester assessment: 100

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1) The obligatory mid-term test can be retaken or made up according to the general rules of the university. In case of make up, the grade of the make up test is the grade.

Consulted with the Faculty Student Representative Committee, approved by the Vice Dean for Education, valid from: 07.07.2024.

Subject includes the topics detailed in the course syllabus to ensure learning outcomes listed under 2.2. can be achieved. Timing of the topics may be affected by calendar or other circumstances in each semester.