• Offered by School of Computing
  • ANU College ANU College of Systems and Society
  • Course subject Computer Science
  • Areas of interest Computer Science, Information Technology, Human Centred Computing, Intelligent Systems
  • Academic career PGRD
  • Course convener
    • Dr Miaomiao Liu
    • Prof Hongdong Li
  • Mode of delivery In Person
  • Co-taught Course
  • Offered in First Semester 2025
    See Future Offerings
  • STEM Course

Computer graphics are an essential part of modern software. In this course, students will learn about fundamental algorithms, data structures and programming models used in 3D graphics applications. These key concepts in computer graphics programming will be covered from their mathematical foundations through to their application in domains such as data visualisation, virtual reality, computer games and film animation/VFX. In this course students will explore these concepts through practical implementation in a modern computer graphics software context.

Learning Outcomes

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

  1. Explain the stages of a modern, hardware-accelerated 3D rendering pipeline
  2. Construct and manipulate complex models, geometries and scene graphs in both 2D and 3D
  3. Implement computer graphics algorithms in a shader language
  4. Compare and evaluate different computer graphics techniques based on performance, aesthetic and implementation difficulty

Indicative Assessment

  1. Weekly lab portfolio (10) [LO 1,2,3]
  2. Group project (20) [LO 1]
  3. Individual project (40) [LO 1,2,3,4]
  4. Final exam (30) [LO 1,2,3,4]

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

Approximately 130 hours of study consisting of  lectorials, labs and self directed study. 

Inherent Requirements

Information on inherent requirements for this course are currently not available.

Requisite and Incompatibility

To enrol in this course you must: be studying VCOMP OR be studying MMLCV and have completed COMP6710 or COMP1110 or COMP1140 OR have completed (COMP6710 or COMP1110 or COMP1140) and have completed (COMP6390 or COMP6442 or COMP6540 or COMP6780 or COMP6720). You are not able to enrol in this course if you have successfully completed COMP4610 or COMP6461.

Prescribed Texts

None

Preliminary Reading

All readings will be freely available and linked to from the course website.

Assumed Knowledge

Students should have a working knowledge of at least one structured programming language, ideally Java. It is also recommended but not required, that you have completed COMP6720 before enrolling in this course. 

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
Domestic fee paying students
Year Fee
2025 $5280
International fee paying students
Year Fee
2025 $6720
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
3803 17 Feb 2025 24 Feb 2025 31 Mar 2025 23 May 2025 In Person View

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