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ITC712 Research Methods in IT (16)

Abstract

This subject will enable students to choose and justify a research methodology from a broad range of quantitative and qualitative research methods relevant across the Information Technology (IT) discipline. Students will prepare a research plan incorporating a critique of existing knowledge, appropriate research methodology, suitable data collection techniques and an outline of the ethical issues impacting their research topic. Students are provided the opportunity to write a substantial proportion of their methodology/data collection chapter and publish their preliminary work by identifying a publication outlet, such as a journal or conference, and providing the publication template.

+ Subject Availability Modes and Location

Session 1
OnlineWagga Wagga Campus
Session 2
OnlineWagga Wagga Campus
Continuing students should consult the SAL for current offering details: ITC712
Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject information

Duration Grading System School:
One sessionHD/FLSchool of Computing and Mathematics

Assumed Knowledge

ITC711

Enrolment restrictions

Doctor of Information Technology students only.
Not available to students who have completed ITC535.
Incompatible subject(s)Related subject(s)
ITC535 ITC535 Paired Subject

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to identify and justify an appropriate research methodology for a research problem;
  • be able to determine and evaluate philosophical assumptions, underpinning research approaches and strategies;
  • be able to design a quantitative and/or qualitative research study for the chosen research problem;
  • be able to evaluate research design approaches to data collection.

Syllabus

The subject will cover the following topics:
  • Qualitative and quantitative research methods and techniques in IT.
  • Limitations of different research approaches.
  • Data collection and data analysis techniques.
  • Research findings and interpretation skills.
  • Techniques to discuss the results.

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The information contained in the 2017 CSU Handbook was accurate at the date of publication: 25 August 2017. The University reserves the right to vary the information at any time without notice.