UnitLevel 5Postgraduate

FIT5097 Business intelligence modelling

Faculty of Information Technology

FIT5097 Business intelligence modelling is a level 5, 6-credit-point, postgraduate unit from the Faculty of Information Technology, offered in 2020 in Semester 2 at Clayton. It has no prerequisites.

Credit points
6
Offered in 2020
Semester 2
Clayton
Assessment
Exam 60%
and 1 other task
Workload
144 hours
per semester

This is the 2020 handbook entry. See the 2022 entry.

Reviews

No reviews yet

No reviews yet. Be the first to review FIT5097.

Requisites

Before FIT5097

Prohibitions

You can't enrol if you have passed any of these.

After FIT5097

No unit lists FIT5097 as a prerequisite in the 2020 handbook.

Enrolment rules

Prerequisite: At least one quantitative unit (such as Mathematics or Statistics) in an undergraduate degree.

Overview

This unit introduces students to the principles, techniques and applications of computer-based decision support models for business and industry. Topics include: decision trees; linear programming and optimisation; other mathematical programming methods; waiting lines and queues; time series analysis and forecasting; inventory modelling and discrete-event simulation. Models will be built and solved using spreadsheets or other computer applications as appropriate.

Offerings in 2020

Teaching periodCampusMode
Second semesterClaytonOn campus

Assessment

  • In-semester assessmentThreshold hurdle
    40%
  • Examination (2 hours and 10 minutes)Threshold hurdle
    60%

Learning outcomes

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

  1. 1

    Explain a variety of techniques for modelling business decision problems;

  2. 2

    Choose the appropriate decision model for a particular problem;

  3. 3

    Set up simple models and solve with hand calculations;

  4. 4

    Set up mathematical models for solution in a spreadsheet or other application software;

  5. 5

    Validate models and conduct a sensitivity analysis;

  6. 6

    Analyse a real problem and report the results;

  7. 7

    Explain the difficulty of applying models to real situations - which often requires that approximations, simplifications and generalisations be made;

  8. 8

    Explain the approximate nature of some types of business modelling and why this usually means that a sensitivity analysis needs to be conducted.

Workload and teaching

  • Laboratories24 hours
  • Lectures24 hours
  • Teaching approachActive learning

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 activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning and online engagement.

Learning resources

Required resources

Ragsdale C.T. (2018). Spreadsheet Modeling & Decision Analysis . (8th Edition) Thomson

Contacts

Chief Examiners
Associate Professor David Dowe

Common questions

What are the prerequisites for FIT5097?

FIT5097 has no prerequisites, but enrolment rules apply.

When is FIT5097 offered?

In 2020, FIT5097 runs in Semester 2 at Clayton.

How much work is FIT5097?

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

Does FIT5097 have an exam?

Yes. The exam is worth 60% of the final mark, alongside 1 other task.

More details

Credit points
6
Level
5
Study level
Postgraduate
Faculty
Faculty of Information Technology
Type
Coursework
EFTSL
0.125
Student contribution
SCA Band 2
Study abroad
Not available
Handbook years
202020212022