Research Methods
Subject COMP90044 (2016)
Note: This is an archived Handbook entry from 2016.
Credit Points: | 12.5 | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Level: | 9 (Graduate/Postgraduate) | ||||||||||||
Dates & Locations: | This subject has the following teaching availabilities in 2016: Semester 2, Parkville - Taught on campus.
Timetable can be viewed here. For information about these dates, click here. | ||||||||||||
Time Commitment: | Contact Hours: 36 hours, comprising of one 3-hour lecture per week Total Time Commitment: 200 hours | ||||||||||||
Prerequisites: |
Completion of 50 points of third year computing study or equivalent or enrolment in a Masters degree | ||||||||||||
Corequisites: | None | ||||||||||||
Recommended Background Knowledge: | None | ||||||||||||
Non Allowed Subjects: | Subject | ||||||||||||
Core Participation Requirements: |
For the purposes of considering request for Reasonable Adjustments under the Disability Standards for Education (Cwth 2005), and Student Support and Engagement Policy, academic requirements for this subject are articulated in the Subject Overview, Learning Outcomes, Assessment and Generic Skills sections of this entry. It is University policy to take all reasonable steps to minimise the impact of disability upon academic study, and reasonable adjustments will be made to enhance a student's participation in the University's programs. Students who feel their disability may impact on meeting the requirements of this subject are encouraged to discuss this matter with a Faculty Student Adviser and Student Equity and Disability Support: http://services.unimelb.edu.au/disability |
Subject Overview: |
AIM “The aim of scientific research is to produce new knowledge. To be useful, new knowledge must be able to stand up to critical scrutiny, and its presentation to other researchers and/or to the public must be persuasive. This subject is an introduction to the processes of science as they apply to computing and related disciplines, including designing experiments, locating relevant literature, writing papers, giving presentations and refereeing. Underlying all of these, the subject will foster the development of critical thinking, a skeptical, scientific perspective, and scientific ethics. This subject will be particularly useful for students contemplating undertaking a research degree, or for students currently enrolled in a research degree (MPhil or PhD).”
INDICATIVE CONTENT Introduction to research methods and being a researcher; research writing; reviewing and refereeing; reading and assessing literature; research planning; empirical methods; research presentations; statistical methods; ethics. |
---|---|
Learning Outcomes: |
INTENDED LEARNING OUTCOMES (ILO) Having completed this unit the student is expected to:
|
Assessment: |
|
Prescribed Texts: | Zobel, Justin, Writing for Computer Science, second edition, Springer |
Recommended Texts: |
Evans, Gruba, Zobel, How To Write A Better Thesis, 3rd Edition, Melbourne University Press, 2011 |
Breadth Options: | This subject is not available as a breadth subject. |
Fees Information: | Subject EFTSL, Level, Discipline & Census Date |
Generic Skills: |
On completion of this subject students should have the following skills:
|
Notes: |
LEARNING AND TEACHING METHODS The subject will comprise a mixture of lectures and workshops (3 hours each week). A significant amount of project work is assigned throughout the semester.
INDICATIVE KEY LEARNING RESOURCES Evans, D. and Gruba, P. and Zobel, J. How to Write a Better Thesis, 3rd edition, Melbourne University Press, 2011 Zobel, J. Writing for Computer Science, 2nd edition, Springer, 2004.
CAREERS / INDUSTRY LINKS The subject will provide students with a greater awareness about pathways to and practice for a career in industrial or academic research. |
Related Course(s): |
Doctor of Philosophy - Engineering Master of Philosophy - Engineering Master of Science (Computer Science) |
Related Majors/Minors/Specialisations: |
B-ENG Software Engineering stream Computer Science Computer Science Master of Engineering (Software) |
Download PDF version.