This course explores the principles and methods used in making collective decisions, focusing on theories of social choice, strategy, and decision-making processes. Students will examine how individual preferences can be aggregated to reach group decisions, the strategic behavior of individuals within voting and decision-making frameworks, and the implications for welfare and fairness. Topics include voting systems, preference aggregation, game theory, and strategic decision-making, with applications in economics, political science, and public policy. Through a mix of theoretical models and case studies, students gain insight into the challenges and potential solutions for fair and effective group decision-making. 

Number of ECTS: 3

Methodology: 

This course employs a mixed-methods approach, combining theoretical analysis, mathematical modeling, and case-based learning. Key methodologies include: 

1. Lectures and Readings: Foundation in social choice theory, game theory, and decision-making principles through guided readings and lectures, focusing on theoretical frameworks and key models. 

       2. Mathematical Modeling and Analysis: Use of mathematical and statistical tools to analyse voting systems, preference aggregation, and strategic behavior. Students engage with algorithms and proofs to understand the mechanics and implications of decision models. 

      3. Case Studies: Real-world examples in economics, politics, and business are analysed to illustrate how theories apply to actual decision-making scenarios. Cases encourage students to critically assess the strengths and limitations of different models in practice. 

      4. Simulations and Group Exercises: Hands-on activities such as simulated elections or group decision scenarios help students experience collective decision-making dynamics and strategic voting, fostering practical understanding of theoretical concepts. 

       5. Discussion and Peer Review: Regular discussions and peer feedback sessions enhance critical thinking and allow students to reflect on diverse viewpoints and approaches within group decision-making contexts

This course employs a mixed-methods approach, combining theoretical analysis, mathematical modeling, and case-based learning. Key methodologies include: 

1. Lectures and Readings: Foundation in social choice theory, game theory, and decision-making principles through guided readings and lectures, focusing on theoretical frameworks and key models. 

1. Mathematical Modeling and Analysis: Use of mathematical and statistical tools to analyse voting systems, preference aggregation, and strategic behavior. Students engage with algorithms and proofs to understand the mechanics and implications of decision models. 

1. Case Studies: Real-world examples in economics, politics, and business are analysed to illustrate how theories apply to actual decision-making scenarios. Cases encourage students to critically assess the strengths and limitations of different models in practice. 

1. Simulations and Group Exercises: Hands-on activities such as simulated elections or group decision scenarios help students experience collective decision-making dynamics and strategic voting, fostering practical understanding of theoretical concepts. 

1. Discussion and Peer Review: Regular discussions and peer feedback sessions enhance critical thinking and allow students to reflect on diverse viewpoints and approaches within group decision-making contexts. 

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