Skip to main content

During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.

Unit of study_

COMP5405: Digital Media Computing

Digital media data such as audio, image, videos, graphics, and 3D are increasingly becoming indispensable for big data driven computing applications in many domains, such as social media, public security, education, commerce, entertainment, and healthcare. This unit aims to bring students the essential knowledge on digital media, various computing techniques and tools on digital media processing and analysis, and many cutting-edge digital media applications such as VR/AR and Internet of Things (IoT) enabled new media. It will help students build practical computing skills for digital media driven applications and utilise learned knowledge to produce creative and media rich solutions to real world problems.


Academic unit Computer Science
Unit code COMP5405
Unit name Digital Media Computing
Session, year
Semester 1, 2020
Attendance mode Normal evening
Location Camperdown/Darlington, Sydney
Credit points 6

Enrolment rules

COMP5114 OR COMP9419
Assumed knowledge

Experience with programming skills, as learned in COMP9103 OR COMP2123 OR COMP2823 OR INFO1105 OR INFO1905 (or equivalent UoS from different institutions).

Available to study abroad and exchange students


Teaching staff and contact details

Coordinator Zhiyong Wang,
Type Description Weight Due Length
Final exam Final examination
Highly likely online, though could change in format and duration.
55% Formal exam period 2 hours
Outcomes assessed: LO1 LO3 LO4 LO5 LO6 LO7 LO8
Assignment Homework
15% Multiple weeks n/a
Outcomes assessed: LO1 LO3 LO5 LO7 LO8
Assignment group assignment Project proposal
10% Week 06 n/a
Outcomes assessed: LO1 LO2 LO3 LO6 LO7
Assignment group assignment Project final
20% Week 12 n/a
Outcomes assessed: LO1 LO8 LO7 LO6 LO5 LO3 LO2
group assignment = group assignment ?

Project work: provides students an opportunity to discover digital media computing applications, and devise and develop a solution for an application.

Final exam: assesses the acquisition, understanding, and application of knowledge taught throughout the unit

Details for each assessment can be found in Canvas.

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range


High distinction

85 - 100



75 - 84



65 - 74



50 - 64



0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

Special consideration

If you experience short-term circumstances beyond your control, such as illness, injury or misadventure or if you have essential commitments which impact your preparation or performance in an assessment, you may be eligible for special consideration or special arrangements.

Academic integrity

The Current Student website provides information on academic honesty, academic dishonesty, and the resources available to all students.

The University expects students and staff to act ethically and honestly and will treat all allegations of academic dishonesty or plagiarism seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic dishonesty. If such matches indicate evidence of plagiarism or other forms of dishonesty, your teacher is required to report your work for further investigation.

WK Topic Learning activity Learning outcomes
Week 01 Unit of study introduction (2 hr) LO1 LO6
Week 02 Digital media basics (3 hr) LO1 LO4 LO8
Week 03 Digital image processing I (3 hr) LO1 LO5 LO8
Week 04 Digital image processing II (3 hr) LO1 LO4 LO5 LO8
Week 05 Digital image understanding (3 hr) LO1 LO5 LO7 LO8
Week 06 Graphics and animation (3 hr) LO1 LO6 LO8
Week 07 Video processing (3 hr) LO1 LO5 LO7 LO8
Week 08 Digital image processing advanced I (3 hr) LO1 LO5 LO7 LO8
Week 09 Digital image processing advanced II (3 hr) LO1 LO5 LO7 LO8
Week 10 Audio processing (3 hr) LO1 LO5 LO6 LO8
Week 11 Media compression (3 hr) LO4 LO6
Week 12 Project presentations (3 hr) LO1 LO2 LO6 LO7
Week 13 Course review and revision (2 hr) LO1 LO4 LO6

Attendance and class requirements

Attendance: Students are expected to attend all scheduled lectures. Students are expected to attend all scheduled tutorials.

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed on the Library eReserve link available on Canvas.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University’s graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. explain multimedia processing and analysis techniques widely used in general scenarios
  • LO2. have developed basic project management and team coordination skills in a small group for completing a project
  • LO3. perform prototype design for a given task
  • LO4. explain the digitization of media data (e.g., image, video, and audio) in terms of acquisition and storage
  • LO5. perform the practice of processing and analysing on digital media data with specific techniques
  • LO6. reflect on the state-of-the-art digital media driven applications
  • LO7. perform solution design for a given task
  • LO8. perform derivation of technical solutions for processing and analysing digital media data and practical programming to implement the solutions.

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
Including one more lecture on advanced image processing topic.

Additional costs



The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.