units

FIT5141

Faculty of Information Technology

18 September 2017 22 November 2024

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This unit entry is for students who completed this unit in 2016 only. For students planning to study the unit, please refer to the unit indexes in the the current edition of the Handbook. If you have any queries contact the managing faculty for your course or area of study.

Monash University

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.

Faculty

Information Technology

Offered

Caulfield

  • Second semester 2016 (Day)

Synopsis

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.

Outcomes

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.

Assessment

In-semester assessment: 100%

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 studio

(b.) 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

Chief examiner(s)

Dr Campbell Wilson

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

http://www.infotech.monash.edu.au/units/