UnitLevel 3Undergraduate

FIT3158 Business decision modelling

Faculty of Information Technology

FIT3158 Business decision modelling is a level 3, 6-credit-point, undergraduate unit from the Faculty of Information Technology, offered in 2027 in Semester 2 at Clayton. It needs ETC1000, ETF1100, ETS1102, FIT1006, STA1010 or FIT2086.

Credit points
6
Offered in 2027
Semester 2
Clayton
Assessment
Exam 50%
and 3 other tasks
Workload
144 hours
per semester

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Requisites

Enrolment rules

Prerequisite: And completion of 24 credit points at Level 2 or 3 from FIT or BusEco units

Prerequisite knowledge: Students should have some prior experience with linear algebra (as encountered in MTH1030 or elsewhere), quadratic equations, the Normal (or Gaussian) distribution, and linear regression.

Overview

The objective of this unit is to introduce you to quantitative modelling techniques commonly used for business decision making. This includes the analytical methods used to understand, model and design business processes, and the application of IT tools to real-world decision making situations. Techniques covered include decision making under uncertainty, linear and nonlinear programming, sequential decision making, forecasting, and simulation.

On completion of this unit, you are expected to recognise a complex decision making situation and to build a corresponding quantitative model. You 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. You will also be made aware of simulation software as a tool for analysing business processes.

 

Offerings in 2027

Teaching periodCampusMode
Second semesterClaytonOn campus

Assessment

  • Online QuizzesQuiz / Test
    2%
  • Assignment 2Exercise
    30%
  • Assignment 1Exercise
    18%
  • Scheduled Final Assessment (2 hours and 10 minutes)Examination
    50%

Assessment details may change. Please refer to the assessment information in Moodle closer to the start of the teaching period.

Learning outcomes

When you finish this unit, you should be able to:

  1. 1

    Develop interactive decision models for business analysis and business process improvements;

  2. 2

    Design and implement and analyse spreadsheet-based simulations and mathematical optimisation models;

  3. 3

    Interpret the results of mathematical decision models and conduct sensitivity analyses;

  4. 4

    Critically assess the accuracy and applicability of modelling techniques;

  5. 5

    Communicate the results of model-based decision analysis.

Workload and teaching

  • Seminars24 hours
  • Applied sessions22 hours
  • Teaching approachActive learning

Applied sessions start from Week 2.

Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled online and face to face learning activities and independent study. Independent study may include associated reading and preparation for scheduled teaching activities.

Learning resources

Recommended resources

C T Ragsdale (2021) - Spreadsheet Modeling and Decision Analysis : A Practical Introduction to Business Analytics, Cengage (9th edition)
Camm, J., et al, Essentials of Business
Analytics 2nd Ed, Cengage Learning 2017.
Powell, S. and Baker, K., Business
Analytics: The Art of Modeling With
Spreadsheets, 5th Ed, Wiley 2016.
Anderson D., et al, Quantitative Methods
for Business 13th Ed, Cengage Learning
2015.

Where it fits

FIT3158 is part of 2 areas of study in the 2027 handbook.

Contacts

Chief Examiners
Associate Professor David Dowe

Common questions

What are the prerequisites for FIT3158?

You need ETC1000, ETF1100, ETS1102, FIT1006, STA1010 or FIT2086 before you enrol. Enrolment rules also apply.

When is FIT3158 offered?

In 2027, FIT3158 runs in Semester 2 at Clayton.

How much work is FIT3158?

The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.

Does FIT3158 have an exam?

Yes. The exam is worth 50% of the final mark, alongside 3 other tasks.

Which majors and minors include FIT3158?

FIT3158 is part of Business AI systems.

More details

Credit points
6
Level
3
Study level
Undergraduate
Faculty
Faculty of Information Technology
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Available