In many - perhaps most - economic 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 economist'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, 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 economics and business and other areas. 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.
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Requisite and Incompatibility
You will need to contact the Research School of Economics to request a permission code to enrol in this course.
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:
- 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.
Offerings, Dates and Class Summary Links
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|9673||23 Jul 2018||30 Jul 2018||31 Aug 2018||26 Oct 2018||In Person||N/A|