Course Title: Game Theory and its Applications

Part A: Course Overview

Course Title: Game Theory and its Applications

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

MATH1320

City Campus

Postgraduate

145H Mathematical & Geospatial Sciences

Face-to-Face

Sem 2 2006,
Sem 2 2007,
Sem 2 2008,
Sem 2 2009,
Sem 1 2011,
Sem 2 2013,
Sem 2 2015

MATH1320

City Campus

Postgraduate

171H School of Science

Face-to-Face

Sem 2 2017,
Sem 1 2020,
Sem 1 2022

Course Coordinator: Xu Zhang

Course Coordinator Phone: -

Course Coordinator Email: xu.zhang@rmit.edu.au


Pre-requisite Courses and Assumed Knowledge and Capabilities

 

Required Prior Study

You should have satisfactorily completed following course/s before you commence this course.

Alternatively, you may be able to demonstrate the required skills and knowledge before you start this course.

Contact your course coordinator if you think you may be eligible for recognition of prior learning.


Course Description

This course introduces you to the basics of game theory and reviews different types of games which are widely used in practice. It also considers the various solution concepts of games and how they can be applied to solve problems occurring in economics and other scientific disciplines.

Through an in depth studies of different types of games you will develop comprehensive knowledge of the many concepts prevalent in game theory, as well as possessing a set of useful tools which will enable you to apply such knowledge in real world contexts. You will appreciate the impact that game theory has made, and will continue to make, in many fields of scientific and other human endeavours.

The course provides a strong foundation for those students wishing to study more advanced level courses in game theory.


Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes for MC004 Master of Statistics and Operations Research and MC242 Master of Analytics:

Personal and professional awareness

  • The ability to contextualise outputs where data are drawn from diverse and evolving social, political and cultural dimensions
  • The ability to reflect on experience and improve your own future practice
  • The ability to apply the principles of lifelong learning to any new challenges.

Knowledge and technical competence

  • The ability to use the appropriate and relevant, fundamental and applied mathematical and statistical knowledge, methodologies and modern computational tools.

Problem-solving

  • The ability to bring together and flexibly apply knowledge to characterise, analyse and solve a wide range of problems
  • An understanding of the balance between the complexity and accuracy  of the mathematical and  statistical models used, and the timeliness of the delivery of the solution.

Information literacy

  • The ability to locate and use data and information and evaluate its quality with respect to its authority and relevance.


On completion of this course, you will be able to:

  1. Model competitive real world phenomena using concepts from game theory.
  2. Discuss the theory which underlies games.
  3. Possess a set of   intermediate level game-theoretic skills which can be applied in real world contexts.
  4. Review and critically assess literature which deals with game theory and related materials.
  5. Elucidate the potential or proven relevance of game theory and its impact in many fields of human endeavour which involve conflict of interest between two or more participants.
  6. Communicate game-theoretic ideas and concepts to non-specialist audiences in a language which is accessible and comprehensible. 


Overview of Learning Activities

 

You will be actively engaged in a range of learning activities such as lectorials, tutorials, practicals, laboratories, seminars, project work, class discussion, individual and group activities. Delivery may be face to face, online or a mix of both. 

You are encouraged to be proactive and self-directed in your learning, asking questions of your lecturer and/or peers and seeking out information as required, especially from the numerous sources available through the RMIT library, and through links and material specific to this course that is available through myRMIT Studies Course


Overview of Learning Resources

 

RMIT will provide you with resources and tools for learning in this course through myRMIT Studies Course

There are services available to support your learning through the University Library. The Library provides guides on academic referencing and subject specialist help as well as a range of study support services. For further information, please visit the Library page on the RMIT University website and the myRMIT student portal.


Overview of Assessment

Assessment Tasks:

Assessment Task 1: Assignments/Projects
Weighting 25%
This assessment task supports CLOs 1, 2, 3, and 4.

Assessment Task 2: Mid-semester Test
Weighting 25%
This assessment task supports CLOs 1, 2, 3, and 4.

Assessment Task 3: Final Exam
Weighting 50%
This assessment task supports CLOs 1, 2, 3, and 4.

If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.