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 2023 in Semester 2 at Clayton. It needs ETS1102, FIT1006, STA1010, ETF1100 or ETC1000.

Credit points
6
Offered in 2023
Semester 2
Clayton
Assessment
No exam
4 tasks
Workload
144 hours
per semester

This is the 2023 handbook entry. See the 2027 entry.

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Requisites

Enrolment rules

Prerequisite: And completion of 24 points at Level 1 from FIT or BusEco

Overview

The objective of this unit is to introduce students 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, 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. Students will also be made aware of simulation software as a tool for analysing business processes.

 

Offerings in 2023

Teaching periodCampusMode
Second semesterClaytonOn campus

Assessment

  • Assignment 1Assignment
    30%
  • Assignment 2Assignment
    30%
  • Assignment 3Assignment
    25%
  • QuizzesIn class test
    15%

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

  • Applied sessions22 hours
  • Seminars24 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 1 area of study in the 2023 handbook.

Contacts

Chief Examiners
Associate Professor David Dowe
Unit Coordinators
Heshan Kumarage

Common questions

What are the prerequisites for FIT3158?

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

When is FIT3158 offered?

In 2023, 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?

No. FIT3158 has 4 assessment tasks and no exam.

Which majors and minors include FIT3158?

FIT3158 is part of Business information 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