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COMP5114: Digital Media Fundamentals (2014 - Semester 1)

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Unit: COMP5114: Digital Media Fundamentals (6 CP)
Mode: Normal-Day
On Offer: Yes
Level: Postgraduate
Faculty/School: School of Computer Science
Unit Coordinator/s: Dr Wang, Zhiyong
Prof Feng, David
Session options: Semester 1
Versions for this Unit:
Site(s) for this Unit: http://www.it.usyd.edu.au/~comp5114
Campus: Camperdown/Darlington
Pre-Requisites: None.
Brief Handbook Description: Digital media has become indispensable our heterogeneous computing and communication environment. This unit provides an overview of creating, processing, manipulating, and compressing digital media which mainly include image, audio and video. It introduces principles and current techniques such as multimedia data acquisition, analysis, processing and compression and management. It also elaborates different multimedia coding standards, various multimedia systems and cutting-edge multimedia applications such as web media.
Assumed Knowledge: None.
Lecturer/s: Dr Wang, Zhiyong
Prof Feng, David
Timetable: COMP5114 Timetable
Time Commitment:
# Activity Name Hours per Week Sessions per Week Weeks per Semester
1 Lecture 2.00 1 13
2 Tutorial 1.00 1 11
3 Independent Study 6.00 1 13
T&L Activities: Tutorial: Students are expected to attend all scheduled tutorials.

Independent Study: Students are expected to undertake prescribed reading and practical work besides understanding lecture contents

Attributes listed here represent the key course goals (see Course Map tab) designated for this unit. The list below describes how these attributes are developed through practice in the unit. See Learning Outcomes and Assessment tabs for details of how these attributes are assessed.

Attribute Development Method Attribute Developed
Students need to apply the knowledge learned from this unit to solve a specific problem in related areas. Design (Level 3)
Students will learn the fundamentals of multimedia data processing including acquisition, creation, analysis, compression, and management and the state of the art in digital media. Engineering/IT Specialisation (Level 4)
Students will gain practical experiences in processing multimedia data. Maths/Science Methods and Tools (Level 3)
Students will gain capacity for exploring their interests from related literature. Information Seeking (Level 4)
Students will practice their writing presentation skills. Communication (Level 4)
Assignment 1 is a group task. The practical assignment on multimedia data processing is to discover interesting multimedia applications. Students have to organise themselves on how to most effectively fulfill the task as a team. Project and Team Skills (Level 3)

For explanation of attributes and levels see Engineering & IT Graduate Outcomes Table.

Learning outcomes are the key abilities and knowledge that will be assessed in this unit. They are listed according to the course goal supported by each. See Assessment Tab for details how each outcome is assessed.

Design (Level 3)
1. Apply learned knowledge to solve problems
Engineering/IT Specialisation (Level 4)
2. Understanding multimedia fundamentals: data sampling and quantization in acqusition
3. Understand image/audio/video processing techniques
4. Understand audio/image/video compression techniques
5. Understand the popular and the-state-of-the-art of multimedia applications
Maths/Science Methods and Tools (Level 3)
6. Obtain practical skills in multimedia data processing
Information Seeking (Level 4)
7. Obtain skills in exploring interests in digital media domain.
Communication (Level 4)
8. Obtain the capacity to articulate multimedia processing techniques and present applications.
Assessment Methods:
# Name Group Weight Due Week Outcomes
1 Assignment - Project Yes 25.00 Week 12 2, 3, 4, 5, 7, 8,
2 Quiz No 10.00 Week 6 1, 2, 3, 4, 5, 8,
3 Assignment - Lab Skills No 10.00 Week 11 1, 2, 3, 4, 5, 6, 8,
4 Assignment - Review No 5.00 Week 3 1, 2, 3, 4, 6, 7,
5 Final Exam No 50.00 Exam Period 1, 2, 3, 4, 5, 8,
Assessment Description: Quiz: Quiz

Assignment: Review

Assignment: Project (group)

Final Exam: Final Exam

Assignment: Lab Performance - This is to enforce practicing of the practical sides of this unit.
Grading:
Grade Type Description
Standards Based Assessment Final grades in this unit are awarded at levels of HD for High Distinction, DI (previously D) for Distinction, CR for Credit, PS (previously P) for Pass and FA (previously F) for Fail as defined by University of Sydney Assessment Policy. Details of the Assessment Policy are available on the Policies website at http://sydney.edu.au/policies . Standards for grades in individual assessment tasks and the summative method for obtaining a final mark in the unit will be set out in a marking guide supplied by the unit coordinator.
Policies & Procedures: IMPORTANT: School policy relating to Academic Dishonesty and Plagiarism.

In assessing a piece of submitted work, the School of IT may reproduce it entirely, may provide a copy to another member of faculty, and/or to an external plagiarism checking service or in-house computer program and may also maintain a copy of the assignment for future checking purposes and/or allow an external service to do so.

Other policies

See the policies page of the faculty website at http://sydney.edu.au/engineering/student-policies/ for information regarding university policies and local provisions and procedures within the Faculty of Engineering and Information Technologies.
Prescribed Text/s: Note: Students are expected to have a personal copy of all books listed.
Recommended Reference/s: Note: References are provided for guidance purposes only. Students are advised to consult these books in the university library. Purchase is not required.
Online Course Content: http://www.it.usyd.edu.au/~comp5114

Note that the "Weeks" referred to in this Schedule are those of the official university semester calendar https://web.timetable.usyd.edu.au/calendar.jsp

Week Description
Week 1 Unit of Study Introduction
Week 2 Digital Media for the Web (I)
Week 3 Digital Media for the Web (II)
Assessment Due: Assignment - Review
Week 4 Digital Media Acquisition
Week 5 Digital Image Processing
Week 6 Introduction to Digital Photography
Assessment Due: Quiz
Week 7 Object Recognition
Week 8 Graphics & Animation
Week 9 Video Processing
Week 10 Audio Processing
Week 11 Media Compression
Assessment Due: Assignment - Lab Skills
Week 12 Project Presentation
Assessment Due: Assignment - Project
Week 13 Unit of Study Review and Reflection
STUVAC (Week 14) This week is left free for independent study.
Exam Period Any Exam or Quiz worth more than 30% of the final assessment will be scheduled in this two week period.
Assessment Due: Final Exam

Course Relations

The following is a list of courses which have added this Unit to their structure.

Course Year(s) Offered
Software Engineering / Arts 2011, 2012, 2013, 2014
Software Engineering / Commerce 2010, 2011, 2012, 2013, 2014
Software Engineering / Medical Science 2011, 2012, 2013, 2014
Software Engineering / Project Management 2012, 2013, 2014
Software Engineering / Science 2011, 2012, 2013, 2014

Course Goals

This unit contributes to the achievement of the following course goals:

Attribute Practiced Assessed
Design (Level 3) Yes 12.26%
Engineering/IT Specialisation (Level 4) Yes 64.89%
Maths/Science Methods and Tools (Level 3) Yes 2.26%
Information Seeking (Level 4) Yes 5%
Communication (Level 4) Yes 15.6%
Professional Conduct (Level 3) No 0%
Project and Team Skills (Level 3) Yes 0%

These goals are selected from Engineering & IT Graduate Outcomes Table which defines overall goals for courses where this unit is primarily offered. See Engineering & IT Graduate Outcomes Table for details of the attributes and levels to be developed in the course as a whole. Percentage figures alongside each course goal provide a rough indication of their relative weighting in assessment for this unit. Note that not all goals are necessarily part of assessment. Some may be more about practice activity. See Learning outcomes for details of what is assessed in relation to each goal and Assessment for details of how the outcome is assessed. See Attributes for details of practice provided for each goal.