Decision Making

Subject 620-262 (2008)

Note: This is an archived Handbook entry from 2008.Search for this in the current handbookSearch for this in the current handbookSearch for this in the current handbook

Credit Points: 12.500
Level: Undergraduate
Dates & Locations:

This subject has the following teaching availabilities in 2008:

Semester 2, - Taught on campus.
Pre-teaching Period Start not applicable
Teaching Period not applicable
Assessment Period End not applicable
Last date to Self-Enrol not applicable
Census Date not applicable
Last date to Withdraw without fail not applicable

Timetable can be viewed here. For information about these dates, click here.
Time Commitment: Contact Hours: 36 lectures (three per week) and 11 tutorial/practice class hours (one per week)
Total Time Commitment: 120 hours
Prerequisites: 620-261.
Corequisites: None
Recommended Background Knowledge: None
Non Allowed Subjects: None
Core Participation Requirements: It is University policy to take all reasonable steps to minimise the impact of disability upon academic study and reasonable steps will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact upon their active and safe participation in a subject are encouraged to discuss this with the relevant subject coordinator and the Disability Liaison Unit.


Dr S Zhou
Subject Overview:

This subject introduces the essential features of decision-making situations encountered in operations research investigations. It develops a number of basic mathematical approaches to such situations and the techniques used to solve decision-making problems represented by these approaches. The theoretical foundations of these techniques are also considered. Students should develop the ability to construct formal mathematical models for practical decision-making situations; to solve a number of two-person games, including zero-sum and non-zero-sum games, cooperative and non-cooperative games; to use linear programming and dynamic programming techniques in the solution of a number of multi-objective optimisation problems; and to solve stochastic decision problems using techniques from probabilistic dynamic programming and Markov decision processes. This subject demonstrates the complexity of decision-making situations that may arise from business, economics, management, industry, etc., the extent and limitations of a number of operations research techniques used to solve such problems, and the important role that linear algebra, calculus and probability theory play in the development of these techniques.

Selected topics from game theory, multi-criteria decision-making, decision trees and multi-stage decision making, probabilistic dynamic programming and Markov decision processes will be covered.

Assessment: Up to 24 pages of written assignments due during the semester (10%); a 3-hour written examination in the examination period (90%).
Prescribed Texts: None
Breadth Options: This subject is a level 2 or level 3 subject and is not available to new generation degree students as a breadth option in 2008.
This subject or an equivalent will be available as breadth in the future.
Breadth subjects are currently being developed and these existing subject details can be used as guide to the type of options that might be available.
2009 subjects to be offered as breadth will be finalised before re-enrolment for 2009 starts in early October.
Fees Information: Subject EFTSL, Level, Discipline & Census Date
Notes: This subject is available for science credit to students enrolled in the BSc (pre-2008 degree only), BASc or a combined BSc course.
Related Course(s): Bachelor of Arts

Download PDF version.