Course Title: Audio Engineering

Part A: Course Overview

Course Title: Audio Engineering

Credit Points: 12.00

Terms

Course Code

Campus

Career

School

Learning Mode

Teaching Period(s)

EEET1412

City Campus

Undergraduate

125H Electrical & Computer Engineering

Face-to-Face

 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

EEET1412

City Campus

Undergraduate

172H School of Engineering

Face-to-Face

 Sem 2 2018,
Sem 2 2019,
Sem 2 2020,
Sem 2 2021,
Sem 2 2022,
Sem 2 2023

Course Coordinator: Professor Margaret Lech

Course Coordinator Phone: +61 3 9925 1028

Course Coordinator Email: margaret.lech@rmit.edu.au

Course Coordinator Location: 12.11.11

Course Coordinator Availability: Email for Appointment


Pre-requisite Courses and Assumed Knowledge and Capabilities

Required Prior Study:
You are expected to have completed Signals and Systems 1 or other equivalent studies.

Assumed Knowledge:
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 on audio engineering and audio processing. It is designed to build upon your knowledge of signal processing and electrical engineering to enhance your appreciation of signal processing theory and techniques applied to speech, audio, and acoustics.

Topics to be studied in this course include psychoacoustics, audio processing and compression, electronic acoustic equipment, room acoustics and movie sound.

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. 
For more information on the program learning outcomes for your program, please see the program guide. 


Upon successful completion of this course, you will be able to:

  1. Identify and describe characteristics of 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

This course is delivered through the following Learning Activities:

  1. Listening to pre-recorded lectures, where course materials are presented through slides, worked examples, and demonstrations.
  2. Attending lectorials, where you will revisit the lecture material, practice solving problems and applying concepts. These lectorials will consolidate the course material and provide a means of feedback on your progress and understanding.
  3. Working on practice tests designed to test your knowledge of the most important concepts introduced in the lectures.
  4. Completing written assignments testing an integrated understanding of the subject matter.
  5. Working on practical group projects that apply theoretical concepts to real-world scenarios, enhancing your ability to compile, analyze, and critically evaluate data.
  6. Conducting a private study that consists of working through the course material presented in pre-recorded lectures and practice labs.


Overview of Learning Resources

The learning resources for this course include:

  • Weekly modules with step-by-step guidance on your weekly activities.
  • Weekly lecture notes and video recordings explaining the theory behind course topics.
  • Weekly practice tests providing feedback on your understanding of theory.
  • Laboratory instructions and recordings guiding through the group design projects.
  • MATLAB programming software that can be installed on your own computer.

 


Overview of Assessment

☒This course has no hurdle requirements.

Assessment Tasks:

Assessment Task 1: Individual Home Assignment (not timed) - (total 20%).
It is an online, open-book test with short-answer questions.
This assessment task supports CLOs 1-2.

Assessment Task 2: Individual Lectorial Test (timed and timetabled) - (total 15%).
It is an on-paper, 30-minute closed-book test with a mixture of multiple-choice and short-answer questions.
This assessment task supports CLOs 3-4.
This assessment is timed and timetabled of less than 2 hours duration that students must attend on campus.

Assessment Task 3: Individual Final Assessment (timed and timetabled) - (total 25%)
It is an on-paper 70-minute closed-book test with short-answer questions.
This assessment task supports CLOs 2,5.
This assessment is timed and timetabled of less than 2 hours duration that students must attend on campus.

Assessment Task 4: Group Design Project Assessment - (total 40%):
Part 1- Group Project 1 Report (20%)
Online submission is required.
Part 2- Group Project 2 Report (20%)
Online submission is required.
This assessment task supports CLOs 6-9.

Note: If you have a long-term medical condition and/or disability it may be possible to negotiate to vary aspects of the learning or assessment methods. You can contact the program coordinator or Equitable Learning Services if you would like to find out more.