This is a Further IT core unit in the BBIS

This unit has been updated as part of a 2009 review and comparison of data with current Handbook, Syllabus + and Callista data.

Adding STA1010 as a pre-requisite to FIT2017 due to the implementation of the Decision Support major/minor in the Bachelor of Computer Science. Change to be implemented for semester 1, 2011.

28/4/2021 - Unit disestablished at FEC 2/21 Item 6.2

This is second year level core unit in the Bachelor of Business Information Systems (BBIS). It is part of the DSS stream. Together with FIT2011, FIT3003, and FIT3022, this unit aims to provide students with sufficient DSS related knowledge required for a junior business analyst, as well as for undertaking advanced study/research in the area of DSS.

Decision making spans all the areas of a modern business enterprise. The Business IT graduate is very likely to encounter the need for effective decision support as they enter the workforce. This unit equips BBIS graduates with the skills that will prove to be immediately useful.

• develop interactive decision models, using a variety of techniques;
• interpret the results of mathematical decision models and conduct sensitivity analyses;
• apply appropriate decision modelling techniques to real world problems;
• critically assess the accuracy and applicability of modelling techniques;
• communicate the results of model-based decision analysis;
• design and implement spreadsheet-based mathematical programming techniques for optimisation;
• design, construct and analyse simulation based models;

020307

The objective of this unit is to introduce students to the quantitative modelling techniques commonly used by executives in decision making and the application of IT tools to real-world decision making situations. Techniques covered typically include decision making under uncertainty, linear and nonlinear programming, sequential decision making, forecasting, and simulation. Upon the completion of this unit, the students are expected to recognise a complex decision making situation and to build a corresponding quantitative model. They are also expected to solve the model by applying techniques covered in this unit, to interpret results and finally, to provide 'analyst-type' recommendations. The unit includes extensive use of advanced modelling tools available in Microsoft Excel as well as some VBA programming.

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

FIT1006 or BUS1100 or ETC1000 or STA1010