• Code COMP8715
  • Unit Value 6 to 12 units
  • Offered by Research School of Computer Science
  • ANU College ANU College of Engineering and Computer Science
  • Classification Advanced
  • Course subject Computer Science
  • Academic career PGRD
  • Course convener
    • Dr Charles Gretton
  • Mode of delivery In Person
  • Offered in First Semester 2019
    Second Semester 2019
    See Future Offerings

Students will conduct a project, under supervision, that will act as a capstone to the Master of Computing program, and increase the depth of their knowledge in the computing area. The project will be undertaken in small teams. The activities in the course will normally include some combination of reading, writing, artefact construction and presentation, as appropriate to the project's topic. Application of research methodologies in literature review and evaluation will also be undertaken. Topic-specific learning objectives, project overview and assessment arrangements will be specified at the outset using the Research School of Computer Science form 'Independent Study Contract' where applicable.

Learning Outcomes

Upon successful completion, students will have the knowledge and skills to:

  1. Apply the student's knowledge and implementation skills in the computer science, and apply this to an advanced and specific project topic in that area.
  2. Deepen their knowledge of computing principles and practice through undertaking the project.
  3. Learn any specific technical skills required by their topic, and apply them to project work.
  4. Apply and deepen skills in oral and written communication, and apply these in a project context.
  5. Llearn relevant project-related skills, including project management, teamwork, ethics in research, knowledge of relevant research, evaluation and production of project artifacts.

Indicative Assessment

  1. Three group project reviews (75) [LO null]
  2. Group Poster and Showcase (10%) (10) [LO null]
  3. Individual Reflection (15%) (15) [LO null]

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Workload

Annual course. Student enrolls in Semester 1 and Semester 2. Around 50 contact hours across Team Formation Day, introductory lectures, tutor meetings, project reviews and public showcase. Around 210 hours of group project work and individual study.

Inherent Requirements

Not applicable

Requisite and Incompatibility

To enrol in this course you must be enrolled in the Master of Computing; AND have successfully completed COMP8260 and COMP6442. Incompatible with COMP8755 and COMP8830.

Prescribed Texts

None

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 12 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
Domestic fee paying students
Year Fee
2019 $720 per unit
International fee paying students
Year Fee
2019 $950 per unit
Note: Please note that fee information is for current year only.

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.

The list of offerings for future years is indicative only.
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
3397 25 Feb 2019 04 Mar 2019 31 Mar 2019 31 May 2019 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
8393 22 Jul 2019 29 Jul 2019 31 Aug 2019 25 Oct 2019 In Person N/A

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