FIT3051 is an elective unit which focuses students on the core competencies required to apply decision support systems for finance. It prepares them for a professional career by introducing and focusing upon the application of computer models and multicriteria decision making framework to real problems in finance.

30/11/2017 - Unit disestablished at FEC 5/17 Item 7.3.

27/05/14 - Admin: fix typo in learning outcomes.

14/05/14 - Admin update: minor change to learning outcomes (as approved by ADE).

17/9/13 - Students have suggested to increase lab/tutorial from 1 hour per week to 2 hours per week so that it is in line with other 3rd year units of BBIS. Change to take effect from Semester 1,2014

The unit objectives are aligned with the course objectives, in so far as the unit objectives provide the necessary fundamental computer modelling in the context of finance so that a graduate can operate effectively in the professional world. This unit is somewhat related to BUS3900 as both units apply finance in a computing context. However, it is more aligned with operational finance and computational finance more aligned with investments.

At the completion of this unit students should be able to:

• Assess the potential scope for using decision support systems as part of the solution to an enterprise operational finance problem;

• Describe and explain how to apply decision support systems to help solve the operational finance problems of an enterprise;

• Explain and apply analytic Hierarchy process framework for investment portfolio construction;

• Explain the use of Fuzzy Expert System to represent explicit financial knowledge;

• Explain the selection of artificial intelligent tools to be used for financial decision support.

029999

This unit is designed to introduce students to the practical application of decision support systems for finance using modern computer tools. It covers issues associated with the implementation, theory and risk of decision support systems for finance. The aims of this course are to provide a study of the concepts behind decision making; the tools and techniques to support various stages of the decision making process and to explore key factors of successful decision support systems for finance problems and their development methodology. On completion of the unit, students should be able to: (a) understand the needs of decision makers and apply techniques and tools to support various phases of the decision making process. (b) formulate requirements for simulation and modelling and apply techniques of sensitivity analysis. (c) analyse and design effective decision support systems for finance problems.

On-campus

Examination (2 hours): 60%; In-semester assessment: 40%

Minimum total expected workload equals 12 hours per week comprising:

(a.) Contact hours for on-campus students:

(b.) Additional requirements (all students):

FIT

24 points of prior studies in FIT units at 2nd year level.