B.E Artificial Intelligence and Machine Learning Game Theory for Data Science Syllabus - Mumbai University 2026
This is the Fourth Year AI-ML syllabus under REV-2019 'C' Scheme, in force from the academic year 2023-24. The University has not yet published an NEP 2020 syllabus for this year of the degree, and this is the scheme its examinations are set on.
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Syllabus for Game Theory for Data Science
Module 0: Prerequisite
Module I: Introduction:
Module II: Games with Perfect Information:
Module III: Games with Imperfect Information:
Module IV: Non-Cooperative Game Theory:
Module V: Mechanism Design Aggregating Preferences:
Module VI: Repeated Games
Textbooks
- 1 An Introduction to Game Theory by Martin J. Osborne
- 2 M. J. Osborne, An Introduction to Game Theory. Oxford University Press, 2004
- 1 M. Machler, E. Solan, S. Zamir, Game Theory, Cambridge University Press, 2013.
- 2 N. Nisan, T. Roughgarden, E. Tardos, and V. V. Vazirani (Editors), Algorithmic Game Theory. Cambridge University Press, 2007.
- 3 A.Dixit and S. Skeath, Games of Strategy, Second Edition. W W Norton & Co Inc, 2004.
- 4 YoavShoham, Kevin Leyton-Brown, Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations, Cambridge University Press 2008.
- 5 Zhu Han, DusitNiyato, WalidSaad, TamerBasar and Are Hjorungnes, “Game Theory in Wireless and Communication Networks”, Cambridge University Press, 2012.
- 6 Y.Narahari, “Game Theory and Mechanism Design”, IISC Press, World Scientific. Digital References:
- 1 https://nptel.ac.in/courses/110104063
- 2 https://onlinecourses.nptel.ac.in/noc19_ge32/preview
Reproduced from the University of Mumbai syllabus for B.E. (Artificial Intelligence and Machine Learning) under REV-2019 'C' Scheme, in force from the academic year 2023-24. Wording is as printed in that syllabus. Module numbering is as printed there too.
The complete syllabus
This subject is cut from the University circular for its year. Open a document here if you want the whole thing rather than a single subject.