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Learner Reviews & Feedback for Game Theory with Python by Coursera Project Network

4.6
stars
17 ratings
3 reviews

About the Course

In this 2-hour long project-based course, you will learn the game theoretic concepts of Two player Static and Dynamic Games, Pure and Mixed strategy Nash Equilibria for static games (illustrations with unique and multiple solutions), Example of Axelrod tournament. You will be building two player Nash games and analyze them using Python packages Nashpy and Axelrod, especially built for game theoretic analyses. Also, you will gain the understanding of computational mechanisms related to the aforementioned concepts. 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....
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1 - 4 of 4 Reviews for Game Theory with Python

By oussama1995

Aug 08, 2020

a very interesting project to learn basics of python programming in game theory

By Jesus M Z F

Jul 28, 2020

Great course

By Komal A W

Jul 27, 2020

thank you

By Jorge S J

Aug 09, 2020

Not recommended:

The instructor does not explain any of the theory behind what we are doing, she is hard to understand without captions due to a bad microphone, and seems to be improvising instead of going through a script.

On top of that the "Rhyme" platform is a train wreck: the video is displayed in a tiny fraction of the screen, if forces you to use a untrusted VM and login using your Google account, vide stops when the window loses focus, etc.