units

FIT5097

Faculty of Information Technology

Postgraduate - Unit

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6 points, SCA Band 2, 0.125 EFTSL

Refer to the specific census and withdrawal dates for the semester(s) in which this unit is offered, or view unit timetables.

LevelPostgraduate
FacultyFaculty of Information Technology
OfferedCaulfield Second semester 2014 (Evening)

Synopsis

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.

Outcomes

At the completion of this unit students will:

  • have knowledge of a variety of techniques for modelling business decision problems;
  • be able to choose the appropriate decision model for a particular problem;
  • have skills in setting up simple models and solving with hand calculations;
  • have skills in setting up mathematical models for solution in a spreadsheet or other application software;
  • have skills in the validation of models and conducting a sensitivity analysis.
  • have skills in analysing a real problem and reporting the results;
  • understand the difficulty of applying models to real situations, which often requires that approximations, simplifications and generalisations be made;
  • understand that the approximate nature of some types of business modelling means that a sensitivity analysis be conducted.

Assessment

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

Chief examiner(s)

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

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

  • Two hours of lectures
  • One 2-hour laboratory

(b.) Additional requirements (all students):

  • A minimum of 8 hours independent study per week for completing lab and project work, private study and revision.

Prerequisites

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

Prohibitions

BUS5570

Additional information on this unit is available from the faculty at: