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ITC535 Research Methods in Computing (16)

Abstract

This subject will provide students with a broad range of quantitative and qualitative research methods skills that are relevant across the computing discipline. Various research approaches in the computing discipline will be examined including but not limited to empirical research methods, data collection techniques, analysis and interpretation of data, using and/or developing simulations, and report presentations. By the end of the subject students should be able to critically evaluate the approaches to address the research problems.

+ 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.

Subject information

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

Enrolment restrictions

Available only to Graduate Certificate in Computing Research and Master of Computing Research students.
Incompatible subject(s)Related subject(s)
ITC712 ITC712 Paired Subject

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to compare and contrast research methods in computing; 
  • be able to select and apply an appropriate research methodology for a research problem;
  • be able to determine and apply a quantitative and/or qualitative research technique for a stated purpose;
  • be able to evaluate an experimental setting in a given research scenario;
  • be able to criticise the design of an experiment;
  • be able to report and defend research outcomes.

Syllabus

The subject will cover the following topics:
  • Research techniques and conventions in computing
  • Limitations of different research approaches
  • Developing and formalising a hypothesis
  • Quantitative and/or qualitative data collection, analysis and interpretation methods
  • Developing a mathematical or simulative model
  • Experimental design and presentation

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The information contained in the 2015 CSU Handbook was accurate at the date of publication: 01 October 2015. The University reserves the right to vary the information at any time without notice.