• Offered by Research School of Economics
  • ANU College ANU College of Business and Economics
  • Course subject Economics
  • Areas of interest Economics
  • Academic career UGRD
  • Course convener
    • Dr Martin Richardson
    • Prof Simon Grant
  • Mode of delivery In Person
  • Offered in First Semester 2020
    Second Semester 2020
    See Future Offerings

In many - perhaps most – economic, political, legal and social interactions, there is potential for strategic behaviour, a term, “intended to focus on the interdependence of the adversaries' decisions and on their expectations about each other's behaviour.” (Schelling, 1960, The Strategy of Conflict).   Recognising and understanding such behaviour is an essential part of any analyst’s toolkit and this course is designed to enable just such recognition and understanding. Game theory has successfully been applied in a diverse range of fields, such as economics, political science, military analysis, law, biology and computer science.

The aim of this course is to provide an introduction to strategic thinking and analysis through the basic techniques of game theory and to illustrate the range of its applications in almost all fields of social interaction.  While the level of the course will be introductory, and mathematical prerequisites are minimal, the presentation of the material will rely on precise logical arguments.  This course should be of interest to students from any part of the University.
 

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Understand how game theorists think and approach a strategic problem.
  2. Understand the tools taught in class and be able to recognise their application to the analysis of real world fact situations.
  3. Recognise the strategic issues in a problem and understand how a game theorist might decide on the appropriate tools to analyse it.

Other Information

Indicative Assessment

  1. Assessment is on the basis of a number of Problem Sets, a midterm examination, a final examination and in-class quizzes.The problem sets involve a mixture of analytical numerical questions and brief written answers. The exams may also include a range of question types: short answers, definitional questions, analytical problems and essays. (null) [LO null]

The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.

Workload

Students taking this course are expected to commit at least 10 hours a week including but not limited to: 2 ninety-minute lectures and 1 one-hour tutorial.

Inherent Requirements

Not applicable

Requisite and Incompatibility

To enrol in this course you must have successfully completed 24 units of any courses.

Assumed Knowledge

Prior acquaintance with economic modeling is helpful, but is not a requirement for the course.

Minors

Fees

Tuition fees are for the academic year indicated at the top of the page.  

If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.

Student Contribution Band:
3
Unit value:
6 units

If you are an undergraduate student and have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). You can find your student contribution amount for each course at Fees.  Where there is a unit range displayed for this course, not all unit options below may be available.

Units EFTSL
6.00 0.12500
Note: Please note that fee information is for current year only.

Offerings, Dates and Class Summary Links

The list of offerings for future years is indicative only.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.

First Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
3014 24 Feb 2020 02 Mar 2020 31 Mar 2020 29 May 2020 In Person N/A

Second Semester

Class number Class start date Last day to enrol Census date Class end date Mode Of Delivery Class Summary
7635 27 Jul 2020 03 Aug 2020 31 Aug 2020 30 Oct 2020 In Person N/A

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