In 2023, this course is on campus with remote adjustments only for participants with unavoidable travel restrictions/visa delays.
This is a 6 unit course that allows students to undertake a project on an appropriate computing topic. Students will be expected to carry out some combination of reading, writing, artefact construction and presentation 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.
Please note this course is not available for general enrolment. Students must obtain permission from the Master of Computing or Master of Computing (Advanced) program convenor; the course convener, and secure the support of a supervisor before enrolling in this course.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
- Plan and execute a computer science 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, evaluate, and synthesize research and technical literature relevant to the project, and communicate the findings in an appropriate form.
- Apply theory, concepts and technical skills from relevant computing, scientific and/or 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 reflective practice and independent learning to gain and apply new knowledge and skills.
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
Nominal 10 hours per week for a 6 unit course, including meetings with the supervisor.
Inherent Requirements
Information on inherent requirements for this course is currently not available.
Requisite and Incompatibility
You will need to contact the School of Computing to request a permission code to enrol in this course.
Prescribed Texts
None
Preliminary Reading
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 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 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2023 | $4860 |
- International fee paying students
| Year | Fee |
|---|---|
| 2023 | $6180 |
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 |
|---|---|---|---|---|---|---|
| 4526 | 20 Feb 2023 | 27 Feb 2023 | 31 Mar 2023 | 26 May 2023 | In Person | View |
Second Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 7452 | 24 Jul 2023 | 31 Jul 2023 | 31 Aug 2023 | 27 Oct 2023 | In Person | View |