No offerings have been identified for this subject in 2017
ITC535 Research Methods in IT (16)
Abstract|
This subject will enable students to choose and justify a research method from a broad range of quantitative and qualitative research methodologies relevant across the Information Technology (IT) discipline. Students will prepare a research plan incorporating a critique of existing knowledge, appropriate research method, 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. |
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+ Subject Availability Modes and Location
Continuing students should consult the SAL for current offering details prior to contacting their course coordinator: ITC535
Where differences exist between the handbook and the SAL, the SAL should be taken as containing the correct subject offering details.
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Subject information| Duration | Grading System | School: |
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| One session | HD/FL | School of Computing and Mathematics |
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Enrolment restrictions
Available only to Graduate Certificate in Computing Research and Master of Computing Research students.
Not available to students who have completed ITC712. |
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| Incompatible subject(s) | Related subject(s) |
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| ITC712 | ITC712 Paired Subject
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Learning OutcomesUpon 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.
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SyllabusThe 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.
