This is a flexible 6 or 12 unit course that allows students to undertake a substantial research project on an appropriate engineering topic. Students will be expected to carry out independent research on this topic whilst working under a supervisor who is affiliated with the College of Engineering and Computer Science. The nature of the project can be theoretical, experimental, design or development based on the interests of the student and the availability of supervisors. Students must secure support of a supervisor and obtain permission from the Master of Engineering or Master of Machine Learning and Comptuer Vision program convenor before enrolling in this course.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Plan and execute a substantial engineering or scientific research-based project with a high level of autonomy.
- Formulate and clearly define a research problem including appropriate scope, aims and constraints, and identify a suitable methodology to address the problem.
- Apply research skills and methodologies to source, critically evaluate, and synthesize research and technical literature relevant to the project, and communicate the findings in an appropriate form.
- Apply advanced theory, concepts and technical skills from relevant engineering and/or scientific fields to design and conduct experimental, theoretical or computational research tasks.
- Evaluate, analyze and interpret research data and use this data to support and justify conclusions, recommendations or decisions related to the project aims.
- Communicate the context, motivation, methods, results and conclusions of the project in written and/or oral form, using language and content appropriate to the intended audience.
- Apply professional reflective practice and independent learning to gain and apply new knowledge and skills.
Work Integrated Learning
Projects
In this course, you will undertake a research project. The nature of the project can be theoretical, experimental, design or development based on the interests of the student and the availability of supervisors.
Indicative Assessment
- To be determined by negotiation with supervisor. (100) [LO 1,2,3,4,5,6,7]
The ANU uses Turnitin to enhance student citation and referencing techniques, and to assess assignment submissions as a component of the University's approach to managing Academic Integrity. While the use of Turnitin is not mandatory, the ANU highly recommends Turnitin is used by both teaching staff and students. For additional information regarding Turnitin please visit the ANU Online website.
Workload
As many hours as necessary for meetings with supervisors and a nominal 20 hours per week
Inherent Requirements
Not applicable
Requisite and Incompatibility
You will need to contact the School of Engineering to request a permission code to enrol in this course.
Prescribed Texts
None
Fees
Tuition fees are for the academic year indicated at the top of the page.
Commonwealth Support (CSP) Students
If you have been offered a Commonwealth supported place, your fees are set by the Australian Government for each course. At ANU 1 EFTSL is 48 units (normally 8 x 6-unit courses). More information about your student contribution amount for each course at Fees.
- Student Contribution Band:
- 2
- Unit value:
- 6 to 12 units
If you are a domestic graduate coursework student with a Domestic Tuition Fee (DTF) place or international student you will be required to pay course tuition fees (see below). Course tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
Where there is a unit range displayed for this course, not all unit options below may be available.
| Units | EFTSL |
|---|---|
| 6.00 | 0.12500 |
| 7.00 | 0.14583 |
| 8.00 | 0.16667 |
| 9.00 | 0.18750 |
| 10.00 | 0.20833 |
| 11.00 | 0.22917 |
| 12.00 | 0.25000 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2024 | $830 per unit |
- International fee paying students
| Year | Fee |
|---|---|
| 2024 | $1060 per unit |
Offerings, Dates and Class Summary Links
ANU utilises MyTimetable to enable students to view the timetable for their enrolled courses, browse, then self-allocate to small teaching activities / tutorials so they can better plan their time. Find out more on the Timetable webpage.
Class summaries, if available, can be accessed by clicking on the View link for the relevant class number.
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 2562 | 19 Feb 2024 | 26 Feb 2024 | 05 Apr 2024 | 24 May 2024 | In Person | View |
Second Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 7553 | 22 Jul 2024 | 29 Jul 2024 | 31 Aug 2024 | 25 Oct 2024 | In Person | N/A |
