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Game-Theoretic Solution Concept with Spreadsheets
Coursera MOOC / Non-credit 0

Game-Theoretic Solution Concept with Spreadsheets

About this course

In this 2-hour long project-based course, you will learn how to use 2 Game-theoretic decision rules: Maximin strategy, Minimax strategy, and the solution concept, Nash Equilibrium. You will be familiarized with key terminologies in Game Theory and learn the underlying computation mechanism of each method to solve problems. Also, you will be solving higher order payoff matrices using custom spreadsheet based solution template (one for each method) and learn to interpret the results. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

C

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What you'll learn

  • Apply the Maximin decision rule to payoff matrices
  • Apply the Minimax decision rule to payoff matrices
  • Compute Nash equilibrium solutions for simple games
  • Set up and use spreadsheet templates for game‑theoretic analysis
  • Interpret the results of game‑theoretic calculations in practical contexts

Course objectives

  • Understand key game‑theory terminology and concepts
  • Learn the computational mechanisms behind Maximin, Minimax, and Nash equilibrium
  • Develop hands‑on skills using spreadsheet models to solve higher‑order payoff matrices
Game Design #data interpretation #decision making #problem solving #quantitative analysis #spreadsheets #game theory #nash equilibrium #maximin strategy #minimax strategy #payoff matrices #maximin #minimax #payoff matrix #spreadsheet modeling #excel #decision analysis #strategic analysis #equilibrium interpretation #game‑theoretic computation
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