This course will enable computer science students to develop competencies expected of professionals working in business, government or the broader community. A list of available internship opportunities will be maintained for which students can apply. A holistic selection process will be used to select the best applicant for each opportunity. Students can also propose internships, but these will always be established following negotiations between the ANU and the potential host organisations, before being offered to students along with other opportunities.
Learning Outcomes
Upon successful completion, students will have the knowledge and skills to:
Upon completion of this course, students will be able to:- Demonstrate a personal commitment to ethical behaviour, competent practice, meeting legal and regulatory requirements, taking responsibility for their own work and acknowledging the work of others.
- Demonstrate autonomy, adaptability, a commitment to safety and sustainability, appropriate engagement with relevant stakeholders, and an ability to identify, assess and manage risk.
- Communicate effectively and work productively in a multi-disciplinary team, using initiative and sound judgement, to achieve defined workplace objectives.
- Apply their knowledge and skills in computer science to explore and critically analyse a real-world problem; using creativity and innovation, identify and critically evaluate potential solutions to the problem; choose and implement a particular solution; and critically evaluate and analyse the outcomes and impact of this solution.
- Demonstrate an understanding of lifelong learning processes, and clarification of their personal and professional goals, through critical reflection on their internship experience.
Indicative Assessment
Using the assessment process for COMP8715, three peer reviews of the project(s) undertaken within the internship (75%); poster and showcase (10%); individual reflective report (15%).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
Based on the credit points involved, from 120 to 480 hours of student learning time, consisting of a combination of attendance at the internship placement, attendance at and participation in assessment activities, and writing the reflective report.Requisite and Incompatibility
You will need to contact the Research School of Computer Science to request a permission code to enrol in this course.
Fees
Tuition fees are for the academic year indicated at the top of the page.
If you are a domestic graduate coursework or international student you will be required to pay tuition fees. Tuition fees are indexed annually. Further information for domestic and international students about tuition and other fees can be found at Fees.
- Student Contribution Band:
- 2
- Unit value:
- 6 to 24 units
If you are an undergraduate student and 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). You can find your student contribution amount for each course 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 |
| 13.00 | 0.27083 |
| 14.00 | 0.29167 |
| 15.00 | 0.31250 |
| 16.00 | 0.33333 |
| 17.00 | 0.35417 |
| 18.00 | 0.37500 |
| 19.00 | 0.39583 |
| 20.00 | 0.41667 |
| 21.00 | 0.43750 |
| 22.00 | 0.45833 |
| 23.00 | 0.47917 |
| 24.00 | 0.50000 |
Course fees
- Domestic fee paying students
| Year | Fee |
|---|---|
| 2018 | $680 per unit |
- International fee paying students
| Year | Fee |
|---|---|
| 2018 | $900 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.
Summer Session
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 1848 | 01 Jan 2018 | 19 Jan 2018 | 19 Jan 2018 | 31 Mar 2018 | In Person | N/A |
First Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 4915 | 19 Feb 2018 | 27 Feb 2018 | 31 Mar 2018 | 25 May 2018 | In Person | N/A |
Autumn Session
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 5756 | 01 Apr 2018 | 20 Apr 2018 | 20 Apr 2018 | 30 Jun 2018 | In Person | N/A |
Winter Session
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 6854 | 01 Jul 2018 | 20 Jul 2018 | 20 Jul 2018 | 30 Sep 2018 | In Person | N/A |
Second Semester
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 9985 | 23 Jul 2018 | 30 Jul 2018 | 31 Aug 2018 | 26 Oct 2018 | In Person | N/A |
Spring Session
| Class number | Class start date | Last day to enrol | Census date | Class end date | Mode Of Delivery | Class Summary |
|---|---|---|---|---|---|---|
| 9714 | 01 Oct 2018 | 19 Oct 2018 | 19 Oct 2018 | 31 Dec 2018 | In Person | N/A |
