Course Title: Audio Engineering

Part A: Course Overview

Course Title: Audio Engineering

Credit Points: 12.00

Important Information:

Please check your Canvas course shell closer to when the course starts to see if this course requires mandatory in-person attendance. The delivery method of the course might have to change quickly in response to changes in the local state/national directive regarding in-person course attendance. 


Course Code




Learning Mode

Teaching Period(s)


City Campus


125H Electrical & Computer Engineering


Sem 1 2006,
Sem 1 2007,
Sem 1 2008,
Sem 1 2009,
Sem 1 2010,
Sem 1 2011,
Sem 1 2012,
Sem 1 2013,
Sem 1 2014,
Sem 1 2015,
Sem 1 2016


City Campus


172H School of Engineering


Sem 2 2018,
Sem 2 2019,
Sem 2 2020,
Sem 2 2021,
Sem 2 2022

Course Coordinator: Professor Margaret Lech

Course Coordinator Phone: +61 3 9925 1028

Course Coordinator Email:

Course Coordinator Location: 12.11.11

Course Coordinator Availability: Email for Appointment

Pre-requisite Courses and Assumed Knowledge and Capabilities

None. You are expected to have completed courses (specially signal and system related courses) in electrical/electronic engineering at second year university level, and you should be able to write MATLAB applications to solve typical signal processing or electrical/electronic engineering problems.

Course Description

This course will introduce you to a series of topics in audio engineering and acoustics. It is designed to build upon your knowledge of signal processing and electrical engineering to enhance your appreciations of signal processing theory and techniques applied to speech, audio and acoustics.

Topics to be studied in this course include psychoacoustics, speech/audio compression, speech/audio signal processing, electrostatics, room acoustics, speakers and microphones, Dolby noise reduction, movie sound, surround sound and hearing aids. 

Please note that if you take this course for a bachelor honours program, your overall mark in this course will be one of the course marks that will be used to calculate the weighted average mark (WAM) that will determine your award level. (This applies to students who commence enrolment in a bachelor honours program from 1 January 2016 onward. See the WAM information web page for more information.

Objectives/Learning Outcomes/Capability Development

This course contributes to the following Program Learning Outcomes:

  1. In-depth understanding of specialist bodies of knowledge within the engineering discipline.
  2. Application of established engineering methods to complex engineering problem solving. 
  3. Fluent application of engineering techniques, tools and resources. 

On completion of this course, you should be able to:

  1. Identify and describe characteristics of the human auditory system.
  2. Identify signal processing tasks for the design of hearing aids.
  3. Understand basic models of speech production and speech analysis.
  4. Understand basics of sound source separation and adaptive filtering. 
  5. Describe the types of speakers, microphones and amplifiers.
  6. Understand principles of room acoustics.
  7. Understand the basis of the Dolby noise reduction systems.
  8. Understand the principles of movie sound and surround sound.
  9. Identify methods of speech and audio compression. 
  10. Design and test basic audio-signal processing algorithms. 



Overview of Learning Activities

The learning activities in this course are:

  • Weekly 1-hour lectorials in Weeks 1-12
  • Weekly 2-hour practicals in Weeks 2-11

Please note that this course does not have tutorial classes.


Overview of Learning Resources

The learning resources for this course include:

  •  Lecture notes and pre-recorded lecture videos available via Canvas 
  • Instruction notes and recordings for practicals available via Canvas 
  • MATLAB programming package available from MathWorks 



Overview of Assessment

☒This course has no hurdle requirements.

The assessment for this course is comprised of laboratory activities, and tests.

 Practical measurement skills will be assessed through written reports on laboratory exercises. All assessment tasks will assess your ability to critically analyse results and provide arguments to support design decisions. Written feedback will be provided on all assessment tasks. 

 Assessment Tasks              

  1.  Home Assignment 1 – Limited-Time, 24 hours, 
    Weight 25%
    This assessment task supports CLOs 1-4 
  2. Home Assignment 2 – Limited-Time, 24 hours, 
    Weight 25%
    This assessment task supports CLOs 5-8
  3. Home Assignment 3 – Limited-Time, 24 hours, 
    Weight 25%
    This assessment task supports CLOs 9-10 
  4. Laboratory Reports, 
    Weight 25% (6.25% per lab)
    This assessment task supports CLOs 1-4 and 10