Intro

# Coursera: Game Theory

with  Matthew O. Jackson and Yoav Shoham
Minimum Viable Product
University of Technology Sydney via Open Learning
Popularized by movies such as "A Beautiful Mind," game theory is the mathematical modeling of strategic interaction among rational (and irrational) agents. Beyond what we call `games' in common language, such as chess, poker, soccer, etc., it includes the modeling of conflict among nations, political campaigns, competition among firms, and trading behavior in markets such as the NYSE. How could you begin to model keyword auctions, and peer to peer file-sharing networks, without accounting for the incentives of the people using them? The course will provide the basics: representing games and strategies, the extensive form (which computer scientists call game trees), Bayesian games (modeling things like auctions), repeated and stochastic games, and more. We'll include a variety of examples including classic games and a few applications.

You can find a full syllabus and description of the course here: http://web.stanford.edu/~jacksonm/GTOC-Syllabus.html

There is also an advanced follow-up course to this one, for people already familiar with game theory: https://www.coursera.org/learn/gametheory2/

You can find an introductory video here: http://web.stanford.edu/~jacksonm/Intro_Networks.mp4

## Syllabus

Week 1: Introduction and Overview
Introduction, overview, uses of game theory, some applications and examples, and formal definitions of: the normal form, payoffs, strategies, pure strategy Nash equilibrium, dominant strategies

Week 2: Mixed-Strategy Nash Equilibrium
pure and mixed strategy Nash equilibria

Week 3: Alternate Solution Concepts
Iterative removal of strictly dominated strategies, minimax strategies and the minimax theorem for zero-sum game, correlated equilibria

Week 4: Extensive-Form Games
Perfect information games: trees, players assigned to nodes, payoffs, backward Induction, subgame perfect equilibrium, introduction to imperfect-information games, mixed versus behavioral strategies.

Week 5: Repeated Games
Repeated prisoners dilemma, finite and infinite repeated games, limited-average versus future-discounted reward, folk theorems, stochastic games and learning.

Week 6: Bayesian Games
General definitions, ex ante/interim Bayesian Nash equilibrium.

Week 7: Coalitional Games
Transferable utility cooperative games, Shapley value, Core, applications.

Week 8: Final Exam
The description goes here

32 Student
reviews
Cost Free Online Course (Audit)
Pace Upcoming
Subject Economics
Provider Coursera
Language English
Certificates Paid Certificate Available
Hours 5-7 hours a week
Calendar 8 weeks long

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##### FAQ View All
What are MOOCs?
MOOCs stand for Massive Open Online Courses. These are free online courses from universities around the world (eg. Stanford Harvard MIT) offered to anyone with an internet connection.
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MOOCs are designed for an online audience, teaching primarily through short (5-20 min.) pre recorded video lectures, that you watch on weekly schedule when convenient for you.  They also have student discussion forums, homework/assignments, and online quizzes or exams.

## Reviews for Coursera's Game Theory 3.8 Based on 32 reviews

• 5 stars 34%
• 4 stars 38%
• 3 stars 13%
• 2 star 0%
• 1 stars 16%

Did you take this course? Share your experience with other students.

• 1
1.0 4 years ago
completed this course.
All three of the professors present the material, but not in a way that is easy to understand. I mention this because there are no prerequisites required for the class.

Once the material is presented in this class, I found that searching via google and youtube found more meaningful examples, and were easier to learn from than the professors.

One complaint I have about the class is Dr. Shoham. I found him to be very dull, lacking energy, and using very complicated formulas and difficult-to-understand ideas in his explanations. It's almost as if he were teaching to everyone that has a PHD in the subject matter.

Overall, this course is okay, but you would be better off searching for the information from other sources.
14 people found
1.0 2 years ago
by dropped this course, spending 5 hours a week on it and found the course difficulty to be very hard.
I was looking forward to this course - a lot. But unfortunately the lectures are very hard to follow for someone with university degrees but no mathematical/game theory background. Random internet sources, including YouTube videos, were making it easier for me to understand some of the topics - but it was basically taking up too much of my time to constantly look for other sources. I wish they would film another (and better) series of lectures for this course.
8 people found
1.0 5 years ago
completed this course.
I really wanted to like this class but found the variation in the lecture styles between the three prof's distracting. One was cool, one was interesting, and one was so bad he sucked every ounce of enthusiasm for the subject right out of me. The leverage in online courses should allow only the best presenters to teach. Dr. Shoham acted like he wanted to be anywhere but sharing his genius with a dullard like me.
6 people found
3.0 4 years ago
completed this course.
I have mixed feelings about this course. The material is inherently interesting to me but the three professors have a way sucking the fun out of it with an excess of mathematical formalism. Their lecturing ability runs the gamut from poor to atrocious. I learned quite a lot despite their best efforts, but I couldn't recommend the course to anyone without a love of math and a passion for the subject.
6 people found
4.0 5 years ago
completed this course.
This is computer science theory course. It focuses on the formal mathematical concepts and shies away from applications. Don't be fooled by the title, it's not fun along with games. The course is highly quantitative and you will need a solid algebra and probability knowledge to feel comfortable. But if you're aiming fro MSCS , take it.
5 people found
1.0 a year ago
dropped this course.
Extremely poor presentation of the material. Look elsewhere. Presenters made many errors and often could not accurately verbalize (hence conceptualize) the material. Professor Jackson was top notch but the other presenters just did not measure up. I have no doubt that each presenter is an expert in his field, but with the exception of Professor Jackson they have a very limited understanding of how to present new material to adult learners.
1.0 7 months ago
audited this course.
Interesting material, however, I spent more time googling concepts than listening to lectures though as that was a better way to learn. They tried to teach the online course like a University classroom ignoring the obvious differences. This is basically just a collection of online videos about a subject I wouldn't call it a 'course' at all. There's such better ways to teach online.
4.0 2 years ago
completed this course.
My background is computer science and I'm interested in this topic in relation to machine learning applications. I have no background in economics, but in mathematics.

The course was very interesting for my interests and I will start now with the second part.

I gave four stars only, because the course is somehow incomplete without the book which I used in addition to the course material.
2 people found
4.0 4 years ago
by completed this course, spending 3 hours a week on it and found the course difficulty to be medium.
Very interesting course. The teachers do a good job explaining the different aspects of game theory. Difficulty increasing at he end of the course, you need some time to get it right. I had a good time with this course!!
1 person found
5.0 4 years ago
completed this course.
Fascinating topic, well presented. Homework and exams were a good learning experience.
0 person found
4.0 4 years ago
completed this course.
What I was looking for to complete some economics studies ;

Give the basics ; it is well summarized ; examples are easy to understand and well chosen.

However, still missing some more mathematical proofs but the course can be completed with books.

Very useful. thanks !
5.0 7 months ago
by partially completed this course, spending 4 hours a week on it and found the course difficulty to be medium.
I changed my view on games completely, it was a great experience. The only flaw I found is the Bayesian game explanation.
3.0 3 years ago
completed this course and found the course difficulty to be very hard.
1 person found
5.0 2 years ago
by is taking this course right now.
0 person found
4.0 3 years ago
by completed this course.
0 person found
4.0 2 years ago
by completed this course.
0 person found
3.0 a year ago
by completed this course.
0 person found
5.0 4 years ago
completed this course, spending 7 hours a week on it and found the course difficulty to be medium.
0 person found
5.0 4 years ago
completed this course.
0 person found