Game Theory II: Advanced Applications

  • 4.7
Approx. 17 hours to complete

Course Summary

This course offers an introduction to game theory and its applications in various fields such as economics, political science, and computer science. You will learn about strategic interaction, Nash equilibrium, and game theory's role in decision making.

Key Learning Points

  • Understand the fundamental concepts of game theory and apply them in real-world scenarios
  • Learn how to analyze and solve games using different techniques
  • Explore the applications of game theory in various fields, including economics, political science, and computer science

Job Positions & Salaries of people who have taken this course might have

    • USA: $72,000
    • India: ₹5,00,000
    • Spain: €36,000
    • USA: $72,000
    • India: ₹5,00,000
    • Spain: €36,000

    • USA: $61,000
    • India: ₹4,50,000
    • Spain: €30,000
    • USA: $72,000
    • India: ₹5,00,000
    • Spain: €36,000

    • USA: $61,000
    • India: ₹4,50,000
    • Spain: €30,000

    • USA: $75,000
    • India: ₹6,00,000
    • Spain: €39,000

Related Topics for further study


Learning Outcomes

  • Apply game theory concepts to analyze strategic interaction in different scenarios
  • Solve games using various techniques, including dominance, backward induction, and mixed strategies
  • Identify and analyze game theory applications in various fields

Prerequisites or good to have knowledge before taking this course

  • Basic knowledge of algebra and probability
  • Familiarity with economic concepts (optional)

Course Difficulty Level

Intermediate

Course Format

  • Self-paced
  • Video lectures
  • Quizzes and assignments

Similar Courses

  • Microeconomics
  • Behavioral Economics in Action
  • Econometrics

Related Education Paths


Notable People in This Field

  • John Nash
  • Thomas Schelling

Related Books

Description

Popularized by movies such as "A Beautiful Mind", game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Over four weeks of lectures, this advanced course considers how to design interactions between agents in order to achieve good social outcomes. Three main topics are covered: social choice theory (i.e., collective decision making and voting systems), mechanism design, and auctions.

Outline

  • Social Choice
  • An Introduction to the Course
  • 1.1 Social Choice: Taste
  • 1.2 Social Choice: Voting Scheme
  • 1.3 Paradoxical Outcomes
  • 1.4 Impossibility of Non-Paradoxical Social Welfare Functions
  • 1.5 Arrow's Theorem
  • 1.6 Impossibility of Non-Pardoxical Social Choice Functions
  • 1.7 Single-Peaked Preferences
  • Syllabus
  • Problem Set 1
  • Unit 1.2 Quiz
  • Unit 1.3 Quiz
  • Unit 1.5 Quiz
  • Mechanism Design
  • 2.1 Mechanism Design: Taste
  • 2.2 Implementation
  • 2.3 Mechanism Design: Examples
  • 2.4 Revelation Principle
  • 2.5 Revelation Principle: Examples
  • 2.6 Impossibility of General Dominant-Strategy Implementation
  • 2.7 Transferable Utility
  • 2.8 Transferable Utility Example
  • 2.9 Mechanism Design as an Optimization Problem
  • Reading on the theory of Mechanism Design
  • Problem Set 2
  • Unit 2.2 Quiz
  • Unit 2.4 Quiz
  • Unit 2.6 Quiz
  • Unit 2.8 Quiz
  • Unit 2.9 Quiz
  • Efficient Mechanisms
  • 3.1 VCG: Taste
  • 3.2 VCG: Definitions
  • 3.3 VCG: Examples
  • 3.4 VCG: Limitations
  • 3.5 VCG: Individual Rationality and Budget Balance in VCG
  • 3.6 VCG: The Myerson-Satterthwaite Theorem
  • Problem Set 3
  • Unit 3.2 Quiz
  • Unit 3.3 Quiz
  • Unit 3.6 Quiz
  • Auctions
  • 4.1 Auctions: Taste
  • 4.2 Auctions: Taxonomy
  • 4.3 Bidding in Second-Price Auctions
  • 4.4 Bidding in First-Price Auctions
  • 4.5 Revenue Equivalence
  • 4.6 Optimal Auctions
  • 4.7 More Advanced Auctions
  • Problem Set 4
  • Unit 4.2 Quiz
  • Unit 4.3 Quiz
  • Unit 4.4 Quiz
  • Unit 4.6 Quiz
  • Final Exam
  • FINAL EXAM

Summary of User Reviews

Discover the world of Game Theory with Coursera's online course. User reviews showcase a great learning experience with engaging content and knowledgeable instructors. Many users appreciated the practical applications of Game Theory in real-life scenarios.

Key Aspect Users Liked About This Course

Practical applications of Game Theory in real-life scenarios were appreciated by most users.

Pros from User Reviews

  • Engaging and interactive content.
  • Knowledgeable instructors.
  • Real-world examples and applications.
  • Flexible learning schedule.
  • Great value for the price.

Cons from User Reviews

  • Some sections were too complex for beginners.
  • Limited interaction with instructors.
  • Not enough opportunities for hands-on practice.
  • Some users found the course to be too theoretical.
  • Not enough focus on advanced topics.
English
Available now
Approx. 17 hours to complete
Matthew O. Jackson, Kevin Leyton-Brown, Yoav Shoham
Stanford University, The University of British Columbia
Coursera

Instructor

Matthew O. Jackson

  • 4.7 Raiting
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