ACC544 Decision Support Tools (8)

This subject focuses on the application of quantitative management tools to data analysis in order to assist management decision makers in organisations. It introduces relevant statistical, operations research and operations management techniques which can be used to enhance the ability of managers to make informed decisions. Use is made of computer software designed to support the decision making function.

Subject Outlines
Current CSU students can view Subject Outlines for recent sessions. Please note that Subject Outlines and assessment tasks are updated each session.

Availability

Session 1 (30)
On Campus
CSU Study Centre Brisbane
CSU Study Centre Melbourne
CSU Study Centre Sydney
Online
Wagga Wagga Campus
Session 2 (60)
On Campus
CSU Study Centre Brisbane
CSU Study Centre Melbourne
CSU Study Centre Sydney
Port Macquarie Campus

Continuing students should consult the SAL for current offering details: ACC544. Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject Information

Grading System

HD/FL

Duration

One session

School

School of Accounting and Finance

Enrolment Restrictions

Postgraduate students only. Not available to students who have completed ACC513.

Subject Relationships

ACC513 Subjects have significant overlapping content

Incompatible Subjects

ACC513

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to demonstrate problem-solving skills in assessing, organising, summarising and interpreting relevant data for decision making purposes;
  • be able to apply decision theory to business situations;
  • be able to explain the use of simulation in complex decisions;
  • be able to apply probability concepts to decision making;
  • be able to demonstrate understanding of the application of statistical hypothesis testing to decisions, with particular emphasis on quality control and interpreting the significance of regression coefficients in cost estimation;
  • be able to use accepted time-series forecasting methods;
  • be able to apply cost-volume-profit analysis and linear programming to product mix decisions; and
  • be able to solve scheduling problems.

Syllabus

This subject will cover the following topics:
  • Probability concepts and distributions
  • Statistical decision making and quality control
  • Decision analysis uncertainty and risk
  • Value of information via Bayes’ Theorem in improving decisions
  • Simulation for solving complex problems
  • Correlation and regression analysis (emphasis on accounting data)
  • Forecasting techniques
  • Product mix decisions using cost-volume profit and linear programming techniques
  • Inventory control using EOQ and JIT approaches
  • Project management using network analysis.

Contact

Current Students

For any enquiries about subject selection or course structure please contact Student Central or ask@csu.edu.au or phone on 1800 275 278.

Prospective Students

For further information about Charles Sturt University, or this course offering, please contact info.csu on 1800 334 733 (free call within Australia) or enquire online.

The information contained in the 2019 CSU Handbook was accurate at the date of publication: September 2018. The University reserves the right to vary the information at any time without notice.

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