FIT5141 - Advanced topics in information technology - 2019

6 points, SCA Band 2, 0.125 EFTSL

Postgraduate - Unit

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


Information Technology

Chief examiner(s)

Mr Ariel Liebman

Unit guides



  • Second semester 2019 (On-campus)


Computers and information technology pervade all aspects of modern society and industry. This unit is designed to familiarise students with several key ways in which IT technologies are increasingly being used. Currently tools based on data analytics, modelling, optimisation and visualisation are growing in relevance and application. This unit consists of a number of seminars, the content of which will cover key applications models and domains of the above techniques. The assessment component of this course is coursework only and in a series of assignments students will be required to undertake analytical research on recent developments in key application areas. Furthermore they will have the opportunities to develop skills in data management, data analytics and visualisation using state of the art tools such as R and Tableau.


Upon successful completion of this unit, students should be able to:

  1. review and critique a range of information technologies as they are applied in real scientific and commercial environments. These include modelling, optimisation, visualisation, data analytics and simulations of complex systems;
  2. articulate and explain how the management of data and storage can be made conducive to later data exploration and analysis;
  3. analyse data sets and visualise the results of these analyses;
  4. present the results of statistical data analysis to convey concrete information to non-technical users;
  5. use a range of data analytics, visualisation and simulation tools including R;
  6. apply theoretical understanding of novel IT techniques to real world community, business and scientific problems.


In-semester assessment: 100%

Workload requirements

Minimum total expected workload equals 12 hours per week comprising:

  1. Contact hours for on-campus students:
    • Two hours of lectures
    • One 2-hour studio
  2. Additional requirements (all students):
    • A minimum of 8 hours independent study per week for completing tutorial and project work, private study and revision.

See also Unit timetable information