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Game Theory with Python by Coursera

Course Cover

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Course Features

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Duration

2 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

2 hours

Course Description

This 2-hour-long project-based course will teach you the game theory concepts of two player static and dynamic games, pure and mixed strategy Nash Equilibria, and the underlying principles of Axelrod tournament. Two player Nash games will be built and analyzed using Python packages Nashpy, Axelrod and other tools that are specifically designed for game theoretic analysis. You will also learn about the computational mechanisms that are related to these concepts.

Course Overview

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Virtual Labs

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Gain conceptual understanding of Static and Dynamic Games

Understand Pure and Mixed strategies of a game and learn to interpret the results

Learn to implement Nash Games using Python packages Nashpy and Axelrod

Course Instructors

Barsha Saha

PhD Scholar, Game Theorist

Barsha Saha is a PhD Scholar working in the area of IO (Industrial Organization) and Game Theory. She is an Electronics and Instrumentation Engineer with a professional experience as an SAP Consultan...

Course Reviews

Average Rating Based on 4 reviews

3.8

50%

25%

25%

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