Description
Game Theory II: Advanced Applications is a training course on advanced and important applications of game theory (game theory) in various fields and fields, published by Coursera Online University. This course is the second part and a continuation of the Game Theory course published by Stanford University in collaboration with the University of British Columbia.
This course is at an advanced and specialized level and is not recommended for beginners and newcomers, and it is better to study a little in the theoretical and preliminary areas of game theory before starting this course. Game theory is actually a mathematical model that is used to display and analyze the mutual effect and strategic interactions between logical and illogical units in a completely random environment.
During the educational process of this four-week course, you will gain valuable skills and be able to design and organize the relationship between different units and social factors in such a way that you get the best result.
What you will learn in the Game Theory II: Advanced Applications course:
- Social choice theory
- Group decision-making or cooperative decision making
- Different voting systems
- Designing various social mechanisms
- Auctions
- Aggregating and checking the priorities of different factors in a group
- Voting and voting rules
- Arrow impossibility theory or Arrow paradox
- Gibbard-Satruit theorem
- And …
Course details:
- Publisher: Coursera
- English language
- Duration: 17 hours
- Number of training weeks: 5
- Lecturers: Matthew O. Jackson, Kevin Leyton-Brown, and Yoav Shoham
- File format: mp4
- Course Level: Advanced
- Provider institution/university: Stanford University and University of British Columbia (UBC for short)
Game Theory II: Advanced Applications course topics
Week 1
Social Choice
Week 2
Mechanism Design
Week 3
Efficient Mechanisms
Week 4
Auctions
Week 5
Final Exam
Game Theory II Course images
Course prerequisites
Installation guide
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English subtitle
Quality: 720p
download link
Download the course – 802 MB
file password link
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