Note: This is an archived Handbook entry from 2014.
|Dates & Locations:|| |
This subject is not offered in 2014.
|Time Commitment:||Contact Hours: 36 hours; An average of 2 hours of meetings with academic and industrial supervisors per week. |
Total Time Commitment:
Enrolment in any specialisation of the Master of Information, with completion of 50 points at graduate level excluding the following subjects:
and subject to the approval of the subject coordinator for Semester 1 and Semester 2.
|Recommended Background Knowledge:|| |
|Non Allowed Subjects:|| |
|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
Candidates will undertake as individuals or as a member of a team a designated investigative project with a suitable industry partner which could involve critical analysis of a topic, experimental research, development and/or the solution of an industrial problem. Rigorous planning and scheduling of the project, time management, written and verbal technical communication, interpretation of results and team work will be required. The project will involve a mixture of on- and off-campus work.
This subject is intended to provide high-performing graduate students with the opportunity to apply their knowledge in an industry setting, under the joint supervision of an industry and academic mentor.
The project content will vary considerably across partners, but example projects are: assistance in the development of a GPU library for weather forecasting; the implementation of a series of algorithms for tracking trends in social media data; and the analysis of traffic flow data using optimisation techniques.
Intended Learning Outcomes (ILO)
On completion of this subject the student is expected to:
Intended Learning Outcome (ILO) 1 is addressed in all three assessment components; ILO2 is addressed in the presentation; ILO3 is addressed in the final report.
|Prescribed Texts:|| |
|Breadth Options:|| |
This subject is not available as a breadth subject.
|Fees Information:||Subject EFTSL, Level, Discipline & Census Date|
On completion of this subject, students should have developed the following generic skills:
Learning and Teaching Methods
The subject is taken on-site with an industry partner, with joint supervision from an industry mentor and an academic supervisor, on a project pre-agreed upon between the student, the mentor and the supervisor.
Indicative Key Learning Resources
Most of the learning in this subject will take place in interaction with the industry partner, through the project.
The subject is, by definition, industry based.
Master of Information Technology |
Master of Information Technology
Master of Information Technology
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