What will you learn in Welcome to Game Theory Course
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Fundamental concepts of game theory, including Nash equilibrium, dominant strategies, and backward induction.
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Strategic decision-making in interactive environments involving competition and cooperation.
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How to analyze real-world scenarios like auctions, voting systems, and business negotiations using mathematical models.
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Methods to predict and influence outcomes in strategic situations.
Program Overview
Module 1: Introduction to Game Theory
⏱️ 1 week
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Topics: Players, strategies, payoffs, rationality assumptions.
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Hands-on: Simple game model construction and analysis.
Module 2: Dominant Strategies & Nash Equilibrium
⏱️ 1 week
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Topics: Pure strategy Nash equilibria, dominance, strategic stability.
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Hands-on: Calculate Nash equilibria in static games.
Module 3: Extensive Form & Backward Induction
⏱️ 1 week
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Topics: Game trees, sequential games, subgame perfection.
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Hands-on: Use backward induction to solve multi-stage games.
Module 4: Mixed Strategies
⏱️ 1 week
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Topics: Probability in decision-making, mixed strategy Nash equilibria.
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Hands-on: Analyze games without pure strategy solutions.
Module 5: Repeated Games & Reputation
⏱️ 1 week
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Topics: Infinite horizon games, cooperation enforcement, tit-for-tat.
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Hands-on: Model long-term interaction strategies.
Module 6: Applications of Game Theory
⏱️ 1 week
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Topics: Auctions, voting, oligopoly pricing, evolutionary games.
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Hands-on: Case study analysis and economic simulations.
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Job Outlook
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High relevance in fields such as economics, political science, business strategy, AI, and data science.
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Game theory is a foundational tool for strategic roles in consulting, tech, policy analysis, and academia.
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Valuable for professionals in operations research, fintech, law, and competitive market analysis.
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