HRC417 Computing and Mathematics Honours Dissertation PT Part A (16)

In this subject, students will begin their planned Honours research activities, under the guidance of their Honours supervisor(s). Through engaging in their research project, students will develop their knowledge, skills, and confidence as a novice researcher. This may include knowledge and skills to obtain the ethics approval required to commence their data collection. Through regular communication with their supervisor(s), students will also have opportunities to reflect on their research practices, experiences, and learning.

Availability

Session 1 (30)
Online
Albury-Wodonga Campus

Continuing students should consult the SAL for current offering details: HRC417. Where differences exist between the Handbook and the SAL, the SAL should be taken as containing the correct subject offering details.

Subject Information

Grading System

SY/US

Duration

One session

School

School of Computing, Mathematics and Engineering

Enrolment Restrictions

Available only to students enrolled in Bachelor of Computing (Honours) and Bachelor of Applied Research (Honours).

Prerequisites

RES401 and RES402

Incompatible Subjects

HRC432

Learning Outcomes

Upon successful completion of this subject, students should:
  • be able to critically use theory in the development of an individual research dissertation;
  • be able to, with supervisor guidance, obtain ethics approval (if necessary) and begin collecting and/or analysing data to address a research question;
  • be able to, in regular supervision conversations, reflect on their research progress, including strengths and skills they are developing, issues they have encountered, and problem-solving they have engaged in; and
  • be able to succinctly report on their research progress in a way that shows increasing independence as a novice researcher.

Syllabus

This subject will cover the following topics:
  • Literature review
  • Theory development
  • Research methods and study design
  • Ethics approval
  • Data collection skills and techniques

The information contained in the CSU Handbook was accurate at the date of publication: May 2022. The University reserves the right to vary the information at any time without notice.

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