Course Outline

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Game Theory and Strategic Decision Modeling Training Course

Rating

9/10

Duration

3 Days

Course Overview

This course provides a comprehensive understanding of game theory principles and their applications in strategic decision-making. Participants will learn how to model competitive scenarios, analyze strategic interactions, and optimize decision-making processes in various business contexts. Hands-on labs and case studies will help attendees apply game theory concepts to real-world challenges, enhancing their ability to navigate complex, competitive environments.

Format of Training

  • Instructor-led sessions
  • Hands-on lab activities with modeling tools
  • Practical demonstrations of game theory workflows
  • Group discussions and real-world case studies

Course Objectives

  1. Understand the fundamental principles of game theory and strategic decision-making.
  2. Learn to model competitive scenarios and strategic interactions.
  3. Explore key concepts such as Nash equilibrium, zero-sum games, and cooperative games.
  4. Gain proficiency in using Python or Excel for strategic modeling.
  5. Apply game theory principles to real-world scenarios in business, economics, and operations.
  6. Develop workflows for analyzing and solving strategic decision problems.
  7. Build confidence in interpreting and presenting game theory insights for decision-making.

Prerequisites

Course Outline


Day 1: Foundations of Game Theory

Session 1: Introduction to Game Theory

  • Principles and importance of game theory in strategic decision-making
  • Applications in business, economics, and operations

Session 2: Key Concepts in Game Theory

  • Players, strategies, payoffs, and equilibrium
  • Modeling a two-player game in Excel

Session 3: Nash Equilibrium and Strategic Stability

  • Understanding Nash equilibrium and its applications
  • Practical demonstration: Finding Nash equilibrium for a competitive scenario

Day 2: Advanced Game Theory Concepts

Session 1: Zero-Sum and Non-Zero-Sum Games

  • Analyzing competitive and cooperative strategies
  • Solving a zero-sum game using Python

Session 2: Cooperative Games and Negotiation

  • Modeling coalitions and collaborative decision-making
  • Practical demonstration: Applying cooperative game theory to a business case

Session 3: Mixed Strategies and Probabilistic Approaches

  • Understanding mixed strategies and their implications
  • Implementing mixed strategy solutions in Excel

Day 3: Applications and Real-World Scenarios

Session 1: Game Theory in Business and Economics

  • Case studies in pricing, competition, and resource allocation
  • Group activity: Designing a strategic decision model for a business problem

Session 2: Dynamic Games and Sequential Decision-Making

  • Exploring dynamic game models and backward induction
  • Solving a dynamic game problem using Python

Session 3: Innovations and Future Trends in Game Theory

  • Emerging applications in AI, cybersecurity, and policy design
  • Discussion: Adapting game theory to evolving strategic challenges

Bespoke Option

We are open to customizing this program to align with your specific learning objectives. If your team has particular goals or areas they wish to focus on, we would be happy to tailor the course outline to meet those needs and ensure the program supports the achievement of your desired outcomes.

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Game Theory and Strategic Decision Modeling Training Course

Course Name: Game Theory and Strategic Decision Modeling Training Course

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