Course Structure

BSc Audio Engineering Presentation

To view a presentation on this course please go to
http://go.qub.ac.uk/AudioEngineeringtalk

Level 1

Level 1 of the programme consists of six compulsory modules which introduce students to core technical skills and engineering fundamentals including electronics, embedded systems, computer programming and mathematics. Students also gain thorough grounding in sound recording principles and practical experience of audio mixing.

Level 2

Level 2 consists of five compulsory modules. These modules further develop students’ understanding of electronics, embedded systems and computer programming with the latter topic focusing more specifically on the development of audio software applications. Audio engineering practice is facilitated through collaborative music recordings with student ensembles and the design of new musical instruments and musical interfaces.

Level 3

Level 3 introduces students to the principles of auditory perception and the architecture of digital audio effects. Students can also opt to take modules in spatial audio mixing, further sound recording practice, musical interaction design or work placement. The programme concludes with the completion of a double weighted technical project focusing on the design of new hardware and/or software tools for audio applications.

N.B.

This is not an exclusive list and these options are subject to staff availability.

For further information, course related queries or to arrange to visit our facilities please contact our Music Student Recruitment Officer, Krista Gallagher at k.gallagher@qub.ac.uk

Work Based Learning

Level 3 module AEL3001 Work Based Learning is an excellent opportunity for students to gain real-world industry experience. Some of the organisations our students have completed placements with include DTS, Pi Communications, RTÉ, Production House, Start Together Studios, Redbox Recording, Smalltown America Studios, Blast Furnace Studios and Sonic Visuals.

Contact Teaching Hours

Small Group Teaching/Personal Tutorial

2 (hours maximum)
hours of tutorials (or later, project supervision) each week

Medium Group Teaching

6 (hours maximum)
hours of practical classes, workshops or seminars each week

Personal Study

24 (hours maximum)
22–24 hours studying and revising in your own time each week, including guided study, composition, performance rehearsal, online activities, etc.

Large Group Teaching

6 (hours maximum)
hours of lectures

Learning and Teaching

Examples of the opportunities for learning on this course are:

E-Learning technologies

Information associated with lectures and assignments is often communicated via the Canvas Virtual Learning Environment. A range of e-learning experiences are also embedded in the degree through, for example: interactive group workshops; podcasts and interactive web-based learning activities; on-line assessment; opportunities to use software applications associated with design in practicals and project-based work etc.

Lectures

Introduce basic information about new topics as a starting point for further self-directed private study/reading. Lectures also provide opportunities to ask questions, gain some feedback and advice on assessments (normally delivered in large groups to all year group peers).

Personal Tutor

Undergraduates are allocated a Personal Tutor during Stages 1 and 2 who meets with them regularly during the year to support their academic development.

Practicals

Provide opportunities for the development of technical skills and the application of theoretical principles to real-life or practical contexts.

Self-directed study

This is an essential part of life as a Queen’s student when important private reading, performance practice, engagement with e-learning resources, reflection on feedback and assignment research and preparation is carried out.

Supervised projects

In final year, all students take a ‘Professional Practice’ module which provides the opportunity to develop a body of artistic work in a professional context. Each individual or group will be assigned a member of staff to act as a mentor. Mentors and students will meet fortnightly to review work in progress and to discuss practical concerns.

Work placements

Students have the opportunity to undertake a work placement in Stage 3. This is a significant learning and employability enhancement opportunity.

Assessment

Details of assessments associated with this course are outlined below:

• The way in which you are assessed will vary according to the learning objectives of each module. The BSc Audio Engineering programme is co-taught between the School of Electrical and Electronic Engineering and Computer Science and the School of Arts, English and Languages. Many of the modules taught from the School of Electrical and Electronic Engineering and Computer Science are assessed through final examination in addition to practicals, projects and continuous assessment. Many of the modules taught from the School of Arts, English and Languages are assessed solely through practical project work, continuous assessment or written assignments. Details of how each module is assessed are shown in the Module Outline Document which is provided to all students at the beginning of each teaching semester.

Feedback

As students progress through their course at Queen’s they will receive general and specific feedback about their work from a variety of sources including lecturers, module co-ordinators, placement supervisors, personal tutors, advisers of study and peers. University students are expected to engage with reflective practice and to use this approach to improve the quality of their work. Feedback may be provided in a variety of forms including:

• Feedback provided via formal written comments and marks relating to work that you, as an individual or as part of a group, have submitted.
• Face to face comment. This may include occasions when you make use of the lecturers’ advertised “office hours” to help you to address a specific query.
• Placement employer comments or references.
• Online or emailed comment.
• General comments or question and answer opportunities at the end of a lecture, seminar or tutorial.
• Pre-submission advice regarding the standards you should aim for and common pitfalls to avoid. In some instances, this may be provided in the form of model answers or exemplars which you can review in your own time.
• Feedback and outcomes from practical classes.
• Comment and guidance provided by staff from specialist support services such as, Careers, Employability and Skills or the Learning Development Service.
• Once you have reviewed your feedback, you will be encouraged to identify and implement further improvements to the quality of your work.

Modules

• Year 1

  Core Modules

  Signals and Communications (20 credits)

  ×

  Signals and Communications

  Overview

  Linear Time Invariant Systems:
  • Discrete and continuous time signals and systems.
  • Simple signal arithmetic and manipulation
  • Transformations of independent variables
  • Properties of systems, including linearity, time invariance, stability, memory, causality
  • Linear-time invariant (LTI) systems, convolution and impulse response
  • Basic electronic data capture
  • Fundamental data representation and manipulation
  • Basic programming skills – program creation and execution
  • Fundamental programming constructs: variables, structures, loops, conditionals.
  
  
  Communications Systems:
  • Overview of communication systems, electromagnetic spectrum
  • Gain, Attenuation, Decibels and their use
  • Analogue modulation: Amplitude Modulation (AM) Frequency Modulation (FM)
  • Digital Modulation ASK, FSK, PSK
  • Radio Receivers: Superheterodyne Receivers, Software defined radios, Filters
  • Radio transmitters
  • Noise, understanding N = kTB
  • Transmission Lines
  • Antennas
  • Link Design Equation
  • Propagation – Line of sight, Multipath Effects
  • Optical Communications – eg Fibre “broadband”
  • Introduction to Secure Communications

  Learning Outcomes

  On successful completion of this module, students will be able to:
  • Understanding of the forms of continuous and discrete-time signals.
  • Understanding the nature of transformations of a signal’s independent variable.
  • Comprehensive understanding of the nature of fundamental signals, specifically the
  • discrete-time impulse and continuous-time exponential.
  • Understanding of the nature of LTI systems.
  • The ability to analyse LTI systems to determine any one of input, output or system response, given knowledge of the other two.
  • Manipulate practical electronic data via software.
  • Appreciation of communications systems used in a wide range of applications, eg mobile comms, satellite, aviation, emergency services, telemetry etc.
  • Understand how information is conveyed wirelessly from transmitter to receiver including modulation, antennas and propagation
  • Understanding of transmission lines and landline based comms systems, such as fibre “broadband”
  • Ability to design a basic analogue or digital wireless comms system including link design equations
  • Practically measure communication system components and links

  Skills

  • Discrete and continuous time signals and system description and transformation.
  • Properties of systems, including linearity, time invariance, stability, memory, causality
  • Linear-time invariant (LTI) systems, convolution and impulse response
  • Basic signal capture, analysis and manipulation in software.
  • Practical measurement skills of RF time domain and frequency domain
  • Ability to specify, setup and measure a basic wireless communications system

  Coursework

  60%

  Examination

  20%

  Practical

  20%

  Credits

  20

  Module Code

  ELE1057

  Teaching Period

  Full Year

  Duration

  24 weeks

  Pre-requisite

  No

  Core/Optional

  Core

  Sound Recording and Production 1 (20 credits)

  ×

  Sound Recording and Production 1

  Overview

  This module will provide an introduction to the nature of sound, its properties and propagation and the tools used to professionally record sound and edit the resulting audio signals. Students will learn about the nature of sound, representation of sound as analogue and digital audio signals; microphone design and usage; the lines and interconnections used for distributing audio signals; and basic timbral and dynamic signal processing. Students will also gain practical experience of using professional microphones and portable recorders to make interior and exterior source recordings, and digital audio workstations for audio editing and balancing.

  Learning Outcomes

  On completion of this module students will be able:
  (i) To operate a portable audio recording device and audio recording hardware in a studio context
  (ii) To record speech and musical sound sources monophonically to broadcast quality standard
  (iii) To edit speech and musical content in a digital audio workstation environment
  (iv) To successfully troubleshoot issues with audio signal flow

  Skills

  (i) Numeracy and information and communication technology.
  (ii) Creative thinking and problem solving.
  (iii) Operation of hardware and software for creative studio applications.
  (iv) Identify, analyse and solve problems by prioritising tasks, coping with complexity, setting achievable goals and taking action.
  (v) Work with information and handle a mass of diverse data, assess risk and draw conclusions (analysis, attention to detail, judgement).
  (vi) Apply subject knowledge and understanding from the degree pathway.
  (vii) Possess high level transferable key skills such as the ability to work with others in a team, to communicate (both orally and in writing), influence, negotiate and resolve conflict.
  (viii) Have the ability and desire to learn for oneself and improve one's self-awareness and performance, to uphold the values of lifelong learning and demonstrate emotional intelligence.
  (ix) Demonstrate confidence and motivation to start and to finish the job, adaptability / flexibility, creativity, initiative, leadership, decision-making, negotiating and the ability to cope with stress.
  (x) Demonstrate the knowledge and experience of working with relevant modern technology.
  (xi) Apply and exploit information technology.

  Coursework

  60%

  Examination

  0%

  Practical

  40%

  Credits

  20

  Module Code

  MUS1038

  Teaching Period

  Autumn

  Duration

  12 weeks

  Pre-requisite

  No

  Core/Optional

  Core

  Embedded Systems (20 credits)

  ×

  Embedded Systems

  Overview

  1. Introduction to Computer Programming using Python
  2. Introduction to Embedded Systems Programming using Arduino C
  3. Introduction to Microcontroller Electronics
  4. Introduction to Printed Circuit Board Design

  Learning Outcomes

  On successful completion of the course the student will:
  • Understand the basic structure of a computer program, using both Python and the C programming languages.
  • Understand the basic structure of an MCU (Microcontroller Unit)
  • Understand how to develop software for an MCU.
  • Understand how basic analogue and digital interface circuits are designed for an MCU.
  • Understand how to develop event-driven ISR (Interrupt Service Routines).
  • Understand how Printed Circuit Boards (PCBs) are designed and constructed.

  Skills

  Skills
  The skills developed by the students during this course are as follows:
  • How to use an IDE (Integrated Development Environment) for developing simple software programs.
  • Understand how to edit, compile and test/debug simple programs.
  • Design simple programming routines to carry out real-world tasks.
  • Understand how to design simple embedded systems to solve real-world problems.
  • Use a PCB design tool to design a basic Printed Circuit Board (PCB).

  Coursework

  100%

  Examination

  0%

  Practical

  0%

  Credits

  20

  Module Code

  ECS1001

  Teaching Period

  Full Year

  Duration

  24 weeks

  Pre-requisite

  No

  Core/Optional

  Core

  Audio Mixing I (20 credits)

  ×

  Audio Mixing I

  Overview

  This module introduces students to audio mixing in the software domain. Advanced signal flow, audio signal processing and balancing of audio sources are considered in the context of mixing both for music and screen. Students will be introduced to mixing workflows using industry standard digital audio workstation software. Topics covered include mix evaluation; balancing and spatial presentation; timbral and dynamic control; mix depth and acoustic context; and mix automation. Students will also develop technical listening skills to enable the aural identification of timbral, dynamic and spatial changes to individual components of a larger multitrack mix.

  Learning Outcomes

  By the end of this module students should be able to:
  1. Demonstrate critical awareness of current industry practice in the area of audio mixing for music and screen
  2. Demonstrate the application of workflows for audio mixing using industry standard audio software
  3. Demonstrate the capacity to explore software solutions to problem solve audio mixing challenges as they arise.
  4. Demonstrate a critical ability to make informed creative decisions in the creation of audio mixes for music and post-production contexts
  5. Demonstrate the capacity to aurally identify changes to audio processing in the context of a multitrack mix

  Skills

  1. Practical, analytic and critical thinking skills
  2. Critical listening skills
  3. Capacity for self-direction and an ability to work independently
  4. Ability to problem solve and explore creative solutions to audio mixing challenges
  5. Written and verbal communication skills
  6. Specific knowledge of key current audio mixing workflows

  Coursework

  100%

  Examination

  0%

  Practical

  0%

  Credits

  20

  Module Code

  MUS1030

  Teaching Period

  Spring

  Duration

  12 weeks

  Pre-requisite

  No

  Core/Optional

  Core

  Mathematics 1 (20 credits)

  ×

  Mathematics 1

  Overview

  Complex Arithmetic:
  1. Complex numbers: fundamentals, modulus and argument, Argand diagrams.
  2. Complex forms: cartesian, exponential, conversions between forms, conjugation
  3. Arithmetic: addition/subtraction, multiplication, division, exponentiation
  4. DeMoivre’s theorem
  
  Linear Algebra:
  1. Vector arithmetic: concept, high-dimensional objects and arithmetic operations.
  2. Matrices: fundamentals, notation, determinants, transposition
  3. Matrix arithmetic: addition/subtraction, multiplication, division, inversion, triangularisation.
  4. Linear equations: solution by Gaussian Elimination, Cramer’s Rule, Matrix Inversion.
  
  Differentiation:
  Fundamentals; Curve Sketching; Product and Chain Rules; Parametric Differentiation; Logarithmic Differentiation; Parital Differentiation
  
  Differential Equations:
  Fundamentals; 1st Order Methods; 2nd Order Methods
  
  Integration:
  Fundamentals; Integrating functions of functions; Integration functions of linear functions; Integration by parts; Integration by substitution; Integration by Reduction Formula; Applications
  
  Sequences and Series:
  Fundamentals; Convergence and Limits; Tests of Convergence; Power Series Properties; Limits for Indeterminate Solutions; L’Hopitals’s Rule;
  
  Function Approximation:
  Fundamentals; imiting Indeterminate Analytical Functions; Taylor’s and Maclaurin’s Series; Compositie Series Approximations; Accuracy Limitations

  Learning Outcomes

  • Understanding of the concept and forms of, and motivation for complex numbers.
  • The ability to represent complex numbers in Cartesian, exponential and graphical forms.
  • The ability to perform fundamental arithmetic operations on complex numbers.
  • The ability to measure the modulus and argument of a complex number.
  • The ability to use complex arithmetic to represent the roots of any number.
  • Understanding of the concept of vector arithmetic.
  • The ability to manipulate high-dimensional mathematical objects and apply fundamental arithmetic operations thereon.
  • An understanding of the form and concepts behind manipulation of matrices.
  • The ability to perform fundamental arithmetic operations on matrices.
  • The ability to transform matrices.
  • The ability to exploit matrices for the solution of linear algebraic equations.
  • The ability to perform matrix triangularisation and inversion.
  • The ability to use matrix triangularisation, matrix inverse and matrix determinants to solve systems of simultaneous equations.
  • Differentiation of simple, parameteric and logarithmic functions
  • 1st and 2nd order differential equations
  • Integration of functions of functions, functions of linear functions, by parts, substitution or reduction
  • Sequences and series
  • Functional approximation

  Skills

  • Formulation and analysis of arithmetic problems including complex numbers.
  • The ability to derive the roots of any number.
  • Formulation and manipulation of high-dimensional mathematical objects.
  • Formulation and solution of high-dimensional linear algebraic problems using matrix arithmetic.

  Coursework

  50%

  Examination

  50%

  Practical

  0%

  Credits

  20

  Module Code

  ELE1012

  Teaching Period

  Full Year

  Duration

  24 weeks

  Pre-requisite

  No

  Core/Optional

  Core

  Fundamentals of Electric Circuits (20 credits)

  ×

  Fundamentals of Electric Circuits

  Overview

  Lectures:
  1. Introduction to Fundamental Components (R, L, C)
  2. Circuit Elements and Sources
  3. Electric Circuit Laws and Theorems
  4. AC and DC Circuit Analysis
  5. Phasor Representation
  6. Frequency Response of Simple Circuits
  7. Basic amplifiers and system concepts
  8. Feedback systems and operational amplifiers (Op Amp)
  9. Diode characteristics and circuits – analysis and applications
  10. Bipolar junction transistor (BJT)
  
  Design project:
  • Design of a DC Power Supply

  Learning Outcomes

  On completion of this module, a student will have achieved the following learning outcomes commensurate with module classification:
  
  • Understand fundamentals of electric circuits, AC/DC circuit theorems, analysis techniques
  • Understand phasor representation of alternating voltages and currents
  • Acquire a practical understanding of the course material through a range
  of lab experiments
  • Understand analogue electronic devices and analogue circuits
  • Develop an understanding of the experimental design and analysis of
  electrical power supplies, design and test methodologies,
  • Demonstrate analysis and interpretation of circuit results
  • Develop a fundamental understanding of electronics principles needed for
  analogue circuit design
  • Develop a practical understanding of the different roles of electronic
  devices in simple analogue and digital electronic circuits and systems.

  Skills

  Skills developed by students during this module are as follows:
  General:
  • Analysis of simple DC and AC electric circuits
  Laboratory & Design Project:
  • Development and analysis of a simple DC power supply circuit
  • Measurement of key characteristics of electrical and electronic systems
  • Debugging of electronic systems
  • Testing of electronic systems
  • Use of laboratory instruments
  • Use of electrical/electronic engineering principles to develop solutions
  • Presentation of technical engineering information clearly and concisely in
  written form
  • Analysis of simple analogue circuits
  • Use of electrical/electronic engineering principles to develop circuit
  solutions

  Coursework

  20%

  Examination

  5%

  Practical

  75%

  Credits

  20

  Module Code

  ECS1006

  Teaching Period

  Full Year

  Duration

  24 weeks

  Pre-requisite

  No

  Core/Optional

  Core

• Year 2

  Core Modules

  Signals and Control (20 credits)

  ×

  Signals and Control

  Overview

  Signals: First, we will introduce Continuous Time (CT) and Discrete Time (DT) signals, their mathematical representations, and their classifications (power, energy, periodic, aperiodic, odd & even, etc). Following, we will cover transformations to signal independent variables: shifting, time-reversal, time scaling etc. Once the basic signal concept is covered, we will investigate building blocks for signal analysis: We will introduce CT and DT exponential signals (real and imaginary) and their sinusoidal representations in complex basis. Finally, we will cover unit impulse and step signals & their applications. Next, we will introduce the systems concept: We will talk about CT and DT systems, we will interconnect CT and DT systems, and we will understand the concepts of memory, time-reversal, inversion, causality, stability, time invariance and linearity with respect to CT and DT systems. We will also cover system algebra and block diagram representation of series, parallel and feedback type CT and DT systems. Once the basic system concept is covered, we will be ready to discuss Linear Time-Invariant (LTI) systems concept: We will understand the nature of LTI systems, we will cover, in detail, the convolution theory and its application to CT & DT signals, understand the concept of convolution sum representation of DT systems and convolution integral representation of CT systems, learn the properties of LTI systems (i.e. commutativity, distributivity, associativity, memory, inevitability, causality, stability). Finally, we will learn how to calculate the output and impulse response of CT systems using linear constant coefficient differential equations (and of DT systems using linear coefficient difference equations). At this point, we will have developed a comprehensive understanding of signals and systems in time-domain. Next, we will learn about Fourier transform: We will understand the nature and purpose of the Fourier Transform, we will investigate the restrictions on the applicability of Fourier transform analysis, and we will cover the convergence properties of the Fourier transform. We will then investigate the properties of the Fourier Transform (linearity, time-reversal, time-shift, time-scaling, Parseval’s relation, etc). We will, then, understand and apply the Fourier transform duality between multiplication and convolution. Finally, we will cover Fourier transform analysis of CT and DT LTI systems. Next, we will learn the sampling theory: We will understand how sampled signals are derived, investigate the frequency spectra of sampled signals, understand what is meant by “Nyquist rate” and “aliasing”, and finally, understand the effect of sampling rate in signal reconstruction. Next, we will cover Z-transform: We will derive the Z-transform representation of a DT signal and understand the concept of region of convergence in z-transform. Following, we will cover the properties of the Z-transform (linearity, Z-domain scaling, accumulation, differentiation, etc). We will apply Z-domain analysis to determine properties of LTI systems, to determine difference equation representations of DT LTI systems, and finally, to derive DT LTI system block diagrams.
  
  Control: We will introduce the concept of a dynamical system: a mathematical abstraction of a physical, chemical, biological, economic, or other entity where we study the evolution of certain variables in time. We will use first principles of science and engineering to build dynamical systems and write them in a state space representation. Taylor’s theorem will allow us to approximate nonlinear dynamical systems. Next, we shall introduce the Laplace transform and its inverse that offer a systematic approach for solving linear differential equations and lay the theoretical foundations for a structured study of linear dynamical systems. This will allow us to describe linear dynamical systems using the transfer function – a complex function – and study the dynamical properties of first and second-order systems. At that point we will be ready to introduce the concept of bounded-input bounded-output (BIBO) stability, state Routh’s stability criterion and design BIBO-stable PID controllers. Lastly, we study the dynamic characteristics of linear systems upon sinusoidal excitation, introduce the celebrated Bode plots and revisit the problem of stability using frequency-based criteria.
  
  Coursework:
  1. Coursework assignment on signals and systems
  2. Group coursework assignment on control and estimation theory
  
  Labs:
  1. Lab 1: Autonomous driving (lane keeping control) lab
  2. Lab 2: Design of an inverted pendulum using system linearisation and PID controller design

  Learning Outcomes

  C1: Science and Mathematics
  LO: Develop and apply analytical solutions to complex signals and systems related problems, covering LTI systems, Fourier analysis, sampling, and Z-transform.
  Teaching: Lectures, tutorials
  Assessment (in descending order of importance): Exam, Signals Coursework
  
  LO: Gain a comprehensive understanding of numerical modelling and practical design of signals and communications systems and their engineering.
  Teaching: Lectures, tutorials
  Assessment: Signals Coursework
  
  LO: Understand the basic components of a feedback control system and their role
  Teaching: Lectures
  Assessment (in descending order of importance): Exam, Control Coursework, Labs
  
  LO: Model dynamical systems in the time and complex frequency domains
  Teaching: Lectures, Control Labs
  Assessment (in descending order of importance): Exam, Control Coursework, Labs
  
  LO: Use the Laplace transform and its inverse to solve initial value problems
  Teaching: Lectures, Control Labs
  Assessment (in descending order of importance): Exam, Control Coursework, Labs
  
  LO: Use Taylor’s approximation theorem to linearise dynamical systems at an equilibrium point
  Teaching: Lectures, Control Labs
  Assessment (in descending order of importance): Exam, Labs, Control Coursework
  
  C2: Problem Analysis
  
  LO: Formulating and analysing complex problems to reach substantiated conclusions.
  Teaching: Lectures, Tutorials
  Assessment (in descending order of importance): Exam, Signals Coursework, Control Coursework, Labs
  
  LO: Evaluating data and equations using engineering principles and numerical frameworks.
  Teaching: Lectures, Tutorials
  Assessment (in descending order of importance: Exam, Signals coursework, Control Coursework, Labs
  
  LO: Evaluating and processing data analytically
  Teaching: Lectures, Tutorials
  Assessment (in descending order of importance): Exam, Signals coursework
  
  LO: Use first principles of physics and engineering to describe real-life dynamical systems in the form of ODEs/IDEs while choosing appropriate frames of reference and simplifying assumptions.
  Teaching: Lectures
  Assessment (in descending order of importance): Exam, Control Coursework
  
  LO: Analyse the behaviour of dynamical systems, their impulse, step and frequency response characteristics and their limit behaviour at infinite time with special emphasis on first and second order systems.
  Teaching: Lectures
  Assessment (in descending order of importance): Exam, Control Coursework
  
  C3: Analytics Tools and Techniques
  
  LO: Apply computational techniques using numerical simulations to study complex signal models.
  Teaching: Lectures, Tutorials.
  Assessment: Signals Coursework.
  
  LO: Develop analytical techniques to solve problems related to LTI systems, Fourier analysis, Nyquist sampling, and Z-Transform.
  Teaching: Lectures, Tutorials
  Assessment (in descending order of importance): Exam, Signals Coursework
  
  LO: Use appropriate stability criteria (such as Routh’s tabulation, Bode’s criterion or other) to tell whether a given system is stable in the BIBO sense
  Teaching: Lectures, Control Labs
  Assessment (in descending order of importance): Exam, Control Coursework
  
  C5: Design
  
  LO: Use appropriate stability criteria (such as Routh’s tabulation, Bode’s criterion or other) to tell whether a given system is stable in the BIBO sense.
  Teaching: Lectures, Labs
  Assessment (in descending order of importance): Exam, Control Coursework
  
  LO: Design PID controllers to achieve certain performance criteria such as desired stability margins, or poles with an adequately negative real part
  Teaching: Lectures, Control Labs
  Assessment (in descending order of importance): Exam, Control Coursework
  
  C6: Integrated/Systems approach
  
  LO: Develop an appreciation of the system abstraction to model interconnected dynamical systems and feedback loops
  Teaching: Lectures
  Assessment (in descending order of importance): Exam, Control Coursework
  
  C12: Practical and Workshop Skills
  
  LO: Use a numerical platform to simulate signals, systems and their analysis in the time domain, frequency domain and Z-domain.
  Teaching: Lectures
  Assessment: Signals Coursework
  
  LO: Use Python to simulate dynamical systems and design control systems
  Teaching: Labs
  Assessment (in descending order of importance): Labs
  
  
  C13: Materials, equipment, technologies, and processes
  
  LO: Select and apply appropriate ways to numerically model signals and systems using a mathematical modelling environment.
  Teaching: Lectures (practical examples)
  Assessment: Signals Coursework
  
  LO: Develop and apply appropriate analytical solutions to all aspects of signals and systems, from linear operations applied to continuous time and discrete time signals to Fourier transform and Z-transform.
  Teaching: Lectures, Tutorials
  Assessment (in descending order of importance): Exam, Signals Coursework
  
  
  C15: Engineering and project management
  
  LO: Ability to manage an engineering project, involving planning, distribution of tasks, collaborative development using technologies such as git, collaborating using issue trackers, etc.
  Teaching: Lectures
  Assessment (in descending order of importance): Control Coursework (Group assignment)
  
  
  C16: Teamwork
  
  LO: Ability to function effective as a member of a team (punctuality, responsibility, discipline, clear communication with other team members) tasked with the design of a control system
  Teaching: Lectures
  Assessment (in descending order of importance): Control Coursework (Group assignment)
  
  C17: Communication
  
  LO: Reporting of analytical and numerical results (in both Signals and Control). Through these activities, the students will learn communicating effectively on all aspects regarding signals and systems.
  Teaching: Lectures (Q&A) and tutorials.
  Assessment: Coursework assignments (Signals and Control)

  Skills

  Upon completion of this module, the students will be able to
  
  1. Combine continuous-time and discrete-time signals
  2. Manipulate fundamental signals, specifically discrete-time impulse, and continuous-time exponential
  3. Convolve two signals
  4. Analyse LTI systems to determine any one of input, output, or system response, given knowledge of the other two
  5. Analyse systems in time-domain and frequency-domain, and the relationship between these two domains
  6. Analyse systems in Z-domain
  7. Design feedback control systems for linear SISO continuous-time systems using PID controllers
  8. Solve engineering problems by breaking down the original problem into simple tasks, troubleshooting, debugging, and brainstorming
  9. Collaborate with your fellow colleagues – perhaps the most valuable non-technical skills are collegiality and teamwork
  10. Use appropriate software to simulate dynamical systems and perform symbolic computations

  Coursework

  50%

  Examination

  0%

  Practical

  50%

  Credits

  20

  Module Code

  ELE2038

  Teaching Period

  Full Year

  Duration

  24 weeks

  Pre-requisite

  No

  Core/Optional

  Core

  Instrument and Installation Design (20 credits)

  ×

  Instrument and Installation Design

  Overview

  This module will focus on the development of practical skills in the areas of software and hardware design and prototyping for artistic applications. The module will begin by introducing Max/MSP and Arduino prototyping environments along with an overview of common sensors and actuators. Students will work in small groups to produce a digital musical instrument or an interactive installation. These projects will progress from brainstorms to physical sketches to functioning prototypes, all of which will be evaluated through group critique led by the module convenor. The module draws on "maker" and "DIY" cultural practices, discussion of which will provide artistic context for both instrument and installation designs.

  Learning Outcomes

  On completion of the module you will:
  (1) develop competency in computer programming for artistic applications
  (2) understand the fundamentals of synthesizing and processing sound with the computer
  (3) understand the fundamentals of physical computing in relation to artistic interaction
  (4) be able to design basic artistic interactions through digital means.

  Skills

  (i) Numeracy and information and communication technology.
  (ii) Creative thinking and problem solving.
  (iii) Operation of hardware and software for creative applications.
  (iv) Identify, analyse and solve problems by prioritising tasks, coping with complexity, setting achievable goals and taking action.
  (v) Computer and microcontrollers programming.,
  (vi) Apply subject knowledge and understanding from the degree pathway
  (vii) Possess high level transferable key skills such as the ability to work with others in a team, to communicate (both orally and in writing), influence, negotiate and resolve conflict.
  (viii) Have the ability and desire to learn for oneself and improve one's self-awareness and performance, to uphold the values of lifelong learning and demonstrate emotional intelligence.
  (ix) Demonstrate confidence and motivation to start and to finish the job, adaptability/flexibility, creativity, initiative, leadership, decision-making, negotiating and the ability to cope with stress.
  (x) Demonstrate the knowledge and experience of working with relevant modern technology.
  (xi) Apply and exploit the above skills in creative and artistic contexts.

  Coursework

  100%

  Examination

  0%

  Practical

  0%

  Credits

  20

  Module Code

  MUS2034

  Teaching Period

  Spring

  Duration

  12 weeks

  Pre-requisite

  No

  Core/Optional

  Core

  Electronics and Circuits (20 credits)

  ×

  Electronics and Circuits

  Overview

  Part 1 (Circuits)
  • System Equation
  • Linear circuits
  • Circuit Theorems and Methods of Circuit Analysis
  o Mesh analysis
  o Nodal analysis
  o Thévenin’s theorem
  • Two-port networks
  o Admittance parameters
  o Impedance parameters
  o Hybrid parameters
  o Transmission parameters
  • Laplace transform in circuit analysis
  • SPICE simulation software (LTspice, Qucs-spice)
  
  Part 2 (Electronics)
  • Linear Operational amplifiers: Basic operation, models, active Filters
  • Non - Linear Operational amplifiers: oscillators and waveform generators
  • Semiconductor diode: diode models, Zener Diodes, applications in DC power supplies, circuit analysis techniques, circuit design
  • Bipolar transistor: internal current components, current gain, common configuration and basic equations, large/small signal model, bias circuits
  • Bipolar transistor applications: Switching transistor, constant current source, regulated dc power supply, amplifiers, differential amplifier, frequency response of amplifiers
  • FET transistors: small signal model, bias circuits, appreciation of differences between FET and bipolar transistor
  • FET transistor applications: amplifiers including frequency response

  Learning Outcomes

  Part 1 (Circuits)
  • Be able to apply Kirchhoff’s current law and Kirchhoff’s voltage law and Ohm’s law to solve electric circuits including node and loop analysis
  • Understand the concepts of linearity
  • Know how to analyze electric circuits using the principle of supernode and supermesh
  • Understand when and how to use a source transformation
  • Know how to analyze electric circuits containing dependent sources
  • Be able to calculate a Thévenin equivalent circuit for a linear circuit
  • Know how to calculate admittance, impedance, hybrid, and transmission parameters for two-port networks
  • Be able to convert between admittance, impedance, hybrid, and transmission parameters
  • Understand the interconnection of two-port networks to form more complicated networks
  • Know how to combine capacitors and inductors in series and parallel
  • Know how to calculate impedance and admittance for our basic circuit elements: R, L, C
  • Be able to combine impedances and admittances in series and parallel
  • Know how to use the Laplace transform to analyze transient circuits
  
  Part 2 (Electronics)
  • Understand and apply semiconductor device models
  • Produce equivalent circuits of operational amplifiers, diodes and transistors
  • Apply linear circuit techniques such as Thévenin theorem, Kirchhoff’s current law and potential divider rule, to semiconductor equivalent circuits
  • Analyse and design analogue circuits containing components such as operational amplifiers, diodes and transistors geared towards specific applications
  • Understand the real life specifications of semiconductor devices and circuits and how to produce designs within certain practical constraints
  • Derive transfer function equations for semiconductor circuits including frequency response

  Skills

  • Numeric
  • Problem solving theoretical circuit designs
  • Analyse & design analogue circuits using op-amps, diodes and transistors
  • Understand the operation of semiconductor devices.
  • Understand “real world” applications of electronic circuits
  • Problem solving, troubleshooting, debugging and measurement skills through lab activities

  Coursework

  30%

  Examination

  0%

  Practical

  70%

  Credits

  20

  Module Code

  ELE2041

  Teaching Period

  Full Year

  Duration

  24 weeks

  Pre-requisite

  No

  Core/Optional

  Core

  Mathematics (20 credits)

  ×

  Mathematics

  Overview

  1. Periodic functions, Fourier series and Fourier coefficients.
  2. Vector/matrix notations and operations.
  3. Fundamental theorem of linear systems, solving linear systems.
  4. Orthogonality, eigenvalues, eigenvectors, eigendecomposition, and QR decomposition.
  5. Multivariate functions, partial derivatives, chain rule.
  6. Multivariate integration.
  7. Multivariate optimisation: unconstrained optimisation and constrained optimisation.
  8. Basic Probability Concepts and Common Probability Distributions.
  9. Sampling, Parameter Estimation, Statistical Inference.

  Learning Outcomes

  Learning Outcomes
  Fundamental understanding of the modern engineering mathematics, probability and statistics, basic theoretical concepts, methods, with application to the problems of analysis and modelling in electronic communications, microwave engineering and design of electronic components, circuits and systems.
  
  Understand basic probability concepts, expectation and some of the most common probability distributions encountered in engineering. Understand different concepts related to sampling and data analysis. Build an appreciation of some of the different types of parameter estimation. Develop an understanding of the principles of statistical inference including hypothesis testing.

  Skills

  Skills
  • Matrix algebra, analysis and modelling of linear systems.
  • Fourier analysis
  • Optimisation theory
  • Multivariate calculus
  • Probability and statistical inference
  • Computational statistics.

  Coursework

  20%

  Examination

  80%

  Practical

  0%

  Credits

  20

  Module Code

  ELE2035

  Teaching Period

  Full Year

  Duration

  24 weeks

  Pre-requisite

  No

  Core/Optional

  Core

  Embedded Systems 2 (20 credits)

  ×

  Embedded Systems 2

  Overview

  1. Introduction to Microcontrollers for Embedded Systems
  2. Interfacing Sensors for Microcontrollers
  3. Design Project for Microcontroller based Hardware

  Learning Outcomes

  Learning Outcomes
  On successful completion of the course the student will:
  • Understand the process of programming microcontrollers.
  • Understand the basic hardware structure of a microcontroller.
  • Understand analogue and digital interface circuits for microcontrollers.
  • Understand how to interface sensors to microcontrollers.
  • Understand how to design and construct a microcontroller hardware project.

  Skills

  The skills developed by the students during this course are as follows:
  • How to use an IDE (Integrated Development Environment) for developing microcontroller software.
  • Understand how to edit, compile and test/debug simple programs.
  • Understand how to design simple embedded systems to solve real-world problems.
  • Develop communication skills for working in a team.
  • Develop project management skills for working in a team.
  
   

  Coursework

  100%

  Examination

  0%

  Practical

  0%

  Credits

  20

  Module Code

  ELE2025

  Teaching Period

  Full Year

  Duration

  24 weeks

  Pre-requisite

  No

  Core/Optional

  Core

  Optional Modules

  Sound Design for Screen (20 credits)

  ×

  Sound Design for Screen

  Overview

  This module introduces sound design in the context of audio-visual production. Students will be exposed to both theoretical and practical aspects of design and audio-vision. Lectures will introduce concepts to be applied in the analysis of sound design in film and animation works. Students will be asked to develop critical strategies for analysis and to produce a soundtrack for a given film/video excerpt.

  Learning Outcomes

  Students should be able:
  (i) To appreciate and understand sound design.
  (ii) To gain insight into editing strategies used in filmmaking.
  (iii) To expand on our understanding of the soundscape.
  (iv) To develop a language and body of references for the discussion of sound design.

  Skills

  (i) Creative thinking and problem solving.
  (ii) Familiarisation with theories of design.
  (iii) Understanding of basic sound design terminology and strategies.
  (iv) Development of a vocabulary for audio-visual analysis.
  (v) Sophisticated understanding of the role of sound in film.
  (vi) Identify, analyse and solve problems by prioritising tasks, coping with complexity, setting achievable goals and taking action.
  (vii) Work with information and handle a mass of diverse data, assess risk and draw conclusions (analysis, attention to detail, judgement).
  (viii) Apply subject knowledge and understanding from the degree pathway.
  (ix) Possess high level transferable key skills such as the ability to work with others in a team, to communicate (both orally and in writing), influence, negotiate and resolve conflict.
  (x) Have the ability and desire to learn for oneself and improve one's self-awareness and performance, to uphold the values of lifelong learning and demonstrate emotional intelligence.
  (xi) Demonstrate confidence and motivation to start and to finish the job, adaptability / flexibility, creativity, initiative, leadership, decision-making, negotiating and the ability to cope with stress.
  (xii) Demonstrate critical evaluation of the outcomes of professional practice.

  Coursework

  100%

  Examination

  0%

  Practical

  0%

  Credits

  20

  Module Code

  MUS2036

  Teaching Period

  Autumn

  Duration

  12 weeks

  Pre-requisite

  No

  Core/Optional

  Optional

  Sound Recording and Production 2 (20 credits)

  ×

  Sound Recording and Production 2

  Overview

  This module explores the theory and practice of multi-track sound recording, editing, mixing and mastering. Students are introduced to a wide range of close microphone techniques used for the multitrack recording of ‘pop’ music. Students gain practical experience of the recording and mixing processes working alongside School based performance ensembles. Students also develop their technical listening skills using online soundbanks that focus on microphone placement for a range of sound sources. Additional topics covered include microphone design, ‘producing’ a pop music recording session, performance refinement and the mastering process.

  Learning Outcomes

  On completion of this module students will be able:
  (i) To use a range of multitrack recording techniques for recording 'Pop' music
  (ii) To operate industry standard DAW environments including software and associated control surfaces
  (iii) To mix and master multitrack recordings to professional standard
  (iv) To critically evaluate the recording techniques applied in commercial 'pop' recordings

  Skills

  (i) Numeracy, creative thinking and problem solving.
  (ii) Identify, analyse and solve problems by prioritising tasks, coping with complexity, setting achievable goals and taking action
  (iii) Work with information and handle a mass of diverse data, assess risk and draw conclusions (analysis, attention to detail, judgement).
  (iv) Apply subject knowledge and understanding from the degree pathway.
  (v) Possess high level transferable key skills such as the ability to work with others in a team, to communicate (both orally and in writing), influence, negotiate and resolve conflict.
  (vi) Have the ability and desire to learn for oneself and improve one's self-awareness and performance, to uphold the values of lifelong learning and demonstrate emotional intelligence.
  (vii) Demonstrate confidence and motivation to start and to finish the job, adaptability/flexibility, creativity, initiative, leadership, decision-making, negotiating and the ability to cope with stress.
  (viii) Demonstrate the knowledge and experience of working with relevant modern technology.
  (ix) Demonstrate critical evaluation outcomes of professional practice.
  (x) Reflect on and evaluate their own practice.

  Coursework

  100%

  Examination

  0%

  Practical

  0%

  Credits

  20

  Module Code

  MUS2038

  Teaching Period

  Spring

  Duration

  12 weeks

  Pre-requisite

  No

  Core/Optional

  Optional

• Year 3

  Core Modules

  Audio Engineering Project (40 credits)

  ×

  Audio Engineering Project

  Overview

  The project is an investigation on a topic in audio engineering. The project originators typically endeavour to ensure elements of design and interdisciplinarity in the project specification. There are, of necessity, many variations on this theme.

  Learning Outcomes

  To develop ability to conduct a substantial project over an extended period, perceive the nature of the problem or product specification to acquire and develop necessary skills and to plan and execute a suitable programme of work, including a final report.

  Skills

  Ability to apply general principles and design or analytical techniques to the solution of audio engineering problems. Such solutions may require investigative, practical or design skills or a combination of these. Originality and interdisciplinarity are encouraged.

  Coursework

  90%

  Examination

  0%

  Practical

  10%

  Credits

  40

  Module Code

  MUS3005

  Teaching Period

  Full Year

  Duration

  24 weeks

  Pre-requisite

  No

  Core/Optional

  Core

  Digital Audio Effects (20 credits)

  ×

  Digital Audio Effects

  Overview

  This module will introduce the basics of digital audio processing and how to achieve practical sound effect implementations. In the first half of the module, students learn how standard processing units such as filters, delays, modulators, compressors, and limiters can be employed to generate a range of classical effects. This involves two individual assignment: the first one is focused on the understanding of theory, concepts, and methods and in the second one the students design, implement, and demonstrate an effect chain.
  
  In the second part, students undertake an individual project in which they individually study a more advanced method of approach within one of the following more areas; analogue effects emulation, physical modelling, spatial audio, and spectral processing.

  Learning Outcomes

  On completion of this module, a student will have achieved the following learning outcomes:
  
  * Comprehensive understanding of a wide range signal processing elements used in digital audio effects, including knowledge and appreciation of different approaches and paradigms
  * Understanding of the way audio effects are applied, including typical source signals and parameter control
  * Critically evaluate audio processing algorithms in terms of effectiveness and computational demand.

  Skills

  Successful participation in this module will enable students to develop skills in the following areas:
  * Study digital audio effects independently, from a variety of sources and by a variety of techniques.
  * Design and Matlab implementation of audio effect algorithms
  * Manage one's own learning and development including time management and organisational skills.
  * Articulate and effectively communicate the design and technological rationale for a given audio effect model through appropriate technical reports and presentations.

  Coursework

  100%

  Examination

  0%

  Practical

  0%

  Credits

  20

  Module Code

  MUS3006

  Teaching Period

  Full Year

  Duration

  24 weeks

  Pre-requisite

  No

  Core/Optional

  Core

  Optional Modules

  Music in Culture (20 credits)

  ×

  Music in Culture

  Overview

  Bringing the entire cohort into a single class setting for the first time since Level 1, the module uses interdisciplinary methods to explore a range of significant sociocultural themes and their instantiation in varied musical practices. These themes include sexuality, identity, mortality, consciousness and otherness. Exploring music through a range of filters, ranging from structuralist commentary to mystical hermeneutics to feminist musicology, the module will offer students the opportunity to understand music from the perspective of the most recent theoretical understanding; to further their listening and explore unfamiliar musics in a stimulating manner; and to engage in novel assessment practices that will heighten their professional skills at the moment when they prepare to enter the workplace.
  
  Lecture topics will include:
  
  Music in Culture. Otherness and Orientalism.   
  Sex, Joy and Transcendence in Messiaen 
  Sexualities in Pop/Rock
  Death in 19th Century Romantic Repertoire
  Themes of Violence and Gore in Metal
  Improvisation: Social and Cultural Practice
  Berlioz, Psychedelia and Disco Biscuits: Drugs and Music    
  God in The Cathedral of Music: 18th Century Music
  Song in Northern Irish Troubles
  Beethoven, Flamenco and Cat Stevens: Islamic influence on Western Music

  Learning Outcomes

  As a result of completing this module, students should be able to understand the nature of the interaction between sociocultural concepts/practices and their instantiation in musical (and by extension cultural) artefacts. They should be able to apply this knowledge to real-world situations and articulate how their knowledge of musical/cultural practice has impacted upon their conception of musical behaviour in society. They should be able to understand the importance of cross-cultural understanding, particularly on a global level, and discuss creative ideas in a variety of formal settings.

  Skills

  Problem solving
  Communication
  Time Management
  Leadership
  Teamwork (social intelligence)
  Abstraction of thought
  Imagination
  Self-expression (emotional intelligence)
  Self-reliance
  Reflection
  Editing
  Proofreading
  Formatting
  Plotting outcomes
  Prioritisation
  Evaluating success
  Resource management
  Making decisions
  Independent thought

  Coursework

  0%

  Examination

  0%

  Practical

  100%

  Credits

  20

  Module Code

  MUS3088

  Teaching Period

  Spring

  Duration

  12 weeks

  Pre-requisite

  No

  Core/Optional

  Optional

  Auditory Perception (20 credits)

  ×

  Auditory Perception

  Overview

  This module focuses on the methods required to answer novel questions about the perception of sound, using specialised experiment design and literature-based scholarship. The module explores key topics in auditory perception (how our senses work, pitch, loudness, timbre, spatialisation, auditory scene analysis, masking, speech perception and deafness) with an emphasis on how we know what we know about auditory perception in order to tackle psychoacoustical questions that have not yet been answered.

  Learning Outcomes

  i) Outline a specialist psychoacoustics topic in some depth
  ii) Draw on general knowledge of auditory perception and digital-signal processing
  iii) Use a programming language to generate psychoacoustics-grade auditory stimuli
  iv) Solve key problems in digital signal processing

  Skills

  i) Mathematical manipulation
  ii) Identify, analyse and solve problems by prioritising tasks, coping with complexity, setting achievable goals and taking action
  iii) Work with information and handle a mass of diverse data, assess risk and draw conclusions (analysis, attention to detail, judgement)
  iv) Apply subject knowledge and understanding from the degree pathway
  v) Have the ability and desire to learn for oneself and improve one's self-awareness and performance, to uphold the values of lifelong learning and demonstrate emotional intelligence
  vi) Demonstrate confidence and motivation to start and to finish the job, adaptability/flexibility, creativity, initiative, leadership, decision-making, negotiating and the ability to cope with stress
  vii) Demonstrate the knowledge and experience of working with relevant modern technology
  viii) Apply and exploit information technology
  ix) Demonstrate critical evaluation of the outcomes of professional practice
  x) Reflect on and evaluate their own practice

  Coursework

  100%

  Examination

  0%

  Practical

  0%

  Credits

  20

  Module Code

  MUS3010

  Teaching Period

  Spring

  Duration

  12 weeks

  Pre-requisite

  No

  Core/Optional

  Optional

  Sound Recording and Production 3 (20 credits)

  ×

  Sound Recording and Production 3

  Overview

  This module explores the practice of recording 'classical' or acoustic music performances using stereo microphone technique and mixing multitrack music recordings for surround sound production. Additionally, the module examines a range of audio recording and reproduction formats for consumer and professional use. Topics covered include sound localisation stereo microphone technique, the 5.1/7.1 surround sound delivery systems, and analogue and digital audio reproduction formats.

  Learning Outcomes

  On successful completion of this module students will be able to:
  i) record and edit 'classical' music using a range of stereo microphone techniques
  ii) critically evaluate different stereo microphone techniques applied in commercial 'classical' recordings
  iii) mix multitrack music recordings for surround sound presentation
  iv) describe how audio signals are stored and reproduced in a range of professional and consumer analogue and digital media.

  Skills

  (i) Numeracy, creative thinking and problem solving.
  (ii) Identify, analyse and solve problems by prioritising tasks, coping with complexity, setting achievable goals and taking action.
  (iii) Work with information and handle a mass of diverse data, assess risk and draw conclusions (analysis, attention to detail, judgement).
  (iv) Apply subject knowledge and understanding from the degree pathway.
  (v) Possess high level transferable key skills such as the ability to work with others in a team, to communicate (both orally and in writing), influence, negotiate and resolve conflict.
  (vi) Have the ability and desire to learn for oneself and improve one's self-awareness and performance, to uphold the values of lifelong learning and demonstrate emotional intelligence.
  (vii) Demonstrate confidence and motivation to start and to finish the job, adaptability / flexibility, creativity, initiative, leadership, decision-making, negotiating and the ability to cope with stress.
  (viii) Demonstrate the knowledge and experience of working with relevant modern technology.
  (ix) Demonstrate critical evaluation of the outcomes of professional practice.
  (x) Reflect on and evaluate their own practice.

  Coursework

  100%

  Examination

  0%

  Practical

  0%

  Credits

  20

  Module Code

  MUS3038

  Teaching Period

  Spring

  Duration

  12 weeks

  Pre-requisite

  No

  Core/Optional

  Optional

  Audio Post Production (20 credits)

  ×

  Audio Post Production

  Overview

  This module provides students with advanced sound design and audio post production skills for working with film, television, and new media content. Students will learn about location sound recording and audio post production workflows and gain practical experience of editing and mixing sound to picture to broadcast specifications. Topics covered include location recording and dialogue editing strategies, ADR session workflow, Foley session recording, mixing to picture and output mix formats.

  Learning Outcomes

  On completion of this module students will be able to:
  (i) edit location dialogue to picture
  (ii) record and edit replacement dialogue to picture
  (iii) record, synthesis and edit appropriate ‘atmos’, foley and sound effects
  (iv) mix audio to picture to standard broadcast specifications

  Skills

  (i) Numeracy and information and communication technology.
  (ii) Creative thinking and problem solving.
  (iii) Operation of hardware and software for creative studio applications.
  (iv) Identify, analyse and solve problems by prioritising tasks, coping with complexity, setting achievable goals and taking action.
  (v) Work with information and handle a mass of diverse data, assess risk and draw conclusions (analysis, attention to detail, judgement).
  (vi) Apply subject knowledge and understanding from the degree pathway.
  (vii) Possess high level transferable key skills such as the ability to work with others in a team, to communicate (both orally and in writing), influence, negotiate and resolve conflict.
  (viii) Have the ability and desire to learn for oneself and improve one's self-awareness and performance, to uphold the values of lifelong learning and demonstrate emotional intelligence.
  (ix) Demonstrate confidence and motivation to start and to finish the job, adaptability / flexibility, creativity, initiative, leadership, decision-making, negotiating and the ability to cope with stress.
  (x) Demonstrate the knowledge and experience of working with relevant modern technology.
  (xi) Apply and exploit information technology.

  Coursework

  100%

  Examination

  0%

  Practical

  0%

  Credits

  20

  Module Code

  MUS3009

  Teaching Period

  Autumn

  Duration

  12 weeks

  Pre-requisite

  Yes

  Core/Optional

  Optional

  Work-based Learning (20 credits)

  ×

  Work-based Learning

  Overview

  This module provides an opportunity for student to utilise disciplinary skills in a work-based environment within the context of reflective practice. Students will negotiate suitable placements in consultation with their academic supervisor and participate in a programme of related classes and events. Simulated work-based projects in which students work in groups with the support of the university’s Enterprise Unit in the Students’ Union are also possible.

  Learning Outcomes

  On completion of this module, students should have:
  Increased ability to relate academic theory to the work environment
  A developed understanding of the organisational culture, policies and processes
  The ability to reflexively and critically evaluate their own learning from the placement
  An appreciation of enterprise and innnovation
  Enhanced career knowledge

  Skills

  Employability skills, including effective communication, teamworking and problem-solving.

  Coursework

  100%

  Examination

  0%

  Practical

  0%

  Credits

  20

  Module Code

  AEL3001

  Teaching Period

  Full Year

  Duration

  24 weeks

  Pre-requisite

  No

  Core/Optional

  Optional

Entrance requirements

A level requirements

ABB including Mathematics and at least one from Biology, Chemistry, Computing, Digital Technology, Electronics, Further Mathematics, ICT [not Applied ICT], Physics, Software Systems Development, Technology and Design or Double Award Life & Health Sciences.

In all cases where Physics is not offered at A-level, candidates must have a minimum of grade C/4 in GCSE Physics or grades CC/4,4 in Double Award Science.

A maximum of one BTEC/OCR Single Award or AQA Extended Certificate will be accepted as part of an applicant's portfolio of qualifications with a Distinction* being equated to a grade A at A-level and a Distinction being equated to a grade B at A-level.

Irish leaving certificate requirements

H3H3H3H3H3H3/H2H3H3H3H3 including Higher Level grade H3 in Mathematics and a Science subject (see list under A-level requirements)

Access Course

Successful completion of Access Course with 80% in each module.

Must be a relevant Access Course including two modules in Mathematics (Level 3) and two modules in Physics/Chemistry (Level 3).

International Baccalaureate Diploma

33 points overall, including 6,5,5 at Higher Level, including Mathematics and a relevant Science

BTEC Level 3 Extended/National Extended Diploma

QCF BTEC Extended Diploma (180 credits at Level 3) with overall grades D*DD, with Distinctions required in four specified units (40 credits), including Mathematics for Technicians and Further Mathematics for Technicians.

RQF BTEC National Extended Diploma (1080 GLH at Level 3) with overall grades D*DD, with Distinctions required in four specified units, including Engineering Principles and Further Engineering Mathematics.

Extended Diploma/National Extended Diploma must be relevant

Graduate

A minimum of a 2:2 Honours Degree, provided any subject requirement is also met

Note

Applicants not offering Physics at A-level should have a minimum of a grade C/4 in GCSE Physics or GCSE Double Award Science grades CC/4,4.

All applicants must have GCSE English Language grade C/4 or an equivalent qualification acceptable to the University.

How we choose our students

Applications are dealt with centrally by the Admissions and Access Service rather than by the School of Arts, English and Languages. Once your application has been processed by UCAS and forwarded to Queen's, an acknowledgement is normally sent within two weeks of its receipt at the University.

Selection is on the basis of the information provided on your UCAS form. Decisions are made on an ongoing basis and will be notified to you via UCAS.

Applicants for this BSc programme offering A-level/BTEC Level 3 qualifications must have, or be able to achieve, a minimum of five GCSE passes at grade C/4 or better, to include English Language and Mathematics. However, this profile may change from year to year depending on the demand for places. Candidates not offering Physics at A-level require GCSE Physics/Double Award Science at grade C/4 or above. Selectors will also check that any specific entry requirements in terms of A-level subjects can be fulfilled.

For applicants offering Irish Leaving Certificate, please note that performance at Irish Junior Certificate (IJC) is taken into account. For last year’s entry applicants for this degree must have had, a minimum of 5 IJC grades C/Merit. The Selector also checks that any specific entry requirements in terms of Leaving Certificate subjects can be satisfied.

Offers are normally made on the basis of three A-levels. Two subjects at A-level plus two at AS are also considered. Candidates are not normally asked to attend for interview. The offer for repeat candidates is set in terms of three A-levels and may be one grade higher than for first time applicants. Grades may be held from the previous year.

Applicants offering two A-levels and one BTEC Subsidiary Diploma/National Extended Certificate (or equivalent qualification) will also be considered. Offers will be made in terms of the overall BTEC grade(s) awarded. Please note that a maximum of one BTEC Subsidiary Diploma/National Extended Certificate (or equivalent) will be counted as part of an applicant’s portfolio of qualifications. The normal GCSE profile will be expected.

Applicants offering other qualifications, such as BTEC Extended/National Extended Diplomas, Higher National Certificates, and Higher National Diplomas, will also be considered.

The same GCSE profile is usually expected of those candidates taking a BTEC Extended/National Extended Diploma and must include both GCSE Mathematics and GCSE Physics/Double Award Science at grade C/4 or better.

Applicants offering a Higher National Certificate (HNC) will require an appropriate GCSE profile, which must include grade C/4 or better in GCSE Mathematics and GCSE Physics/Double Award Science . A relevant HNC in Engineering is required, including Engineering Mathematics. Where offers are made for Stage 1 entry, these are currently conditional on successful completion of this HNC with 2 Distinctions and remainder Merits, including Merits in three specified units, including Engineering Mathematics.

For those offering a Higher National Diploma (HND), some flexibility may be allowed in terms of GCSE profile, but this must include grade C/4 or better in GCSE Mathematics and GCSE Physics/Double Award Science. To be eligible for an offer, the grades obtained in the first year of the HND must allow the overall offer to be achievable. A relevant HND in Engineering is required for admission to this degree and offers for Stage 1 entry are currently conditional on successful completion of this HND with 2 Distinctions, 10 Merits and 4 Passes overall, with Merits required in three specified units, including Engineering Mathematics. Applicants with sufficiently high grades in the first year of a relevant HND in Engineering may be considered for entry to Stage 2 and, where offers are made, these are currently conditional on successful completion of this HND with 3 Distinctions and 13 Merits overall, with Merits required in four specified units, including Engineering Mathematics and Further Mathematics.

The information provided in the personal statement section and the academic reference together with predicted grades are noted but these are not the final deciding factors in whether or not a conditional offer can be made. However, they may be reconsidered in a tie break situation in August.

A-level General Studies and A-level Critical Thinking are not normally considered as part of a three A-level offer and, although they may be excluded where an applicant is taking four A-level subjects, the grade achieved could be taken into account if necessary in August/September.

If you are made an offer then you may be invited to a Faculty/School Visit Day, which is usually held during the second semester. This will allow you the opportunity to visit the University and to find out more about the degree programme of your choice; the facilities on offer. It also gives you a flavour of the academic and social life at Queen's.

If you cannot find the information you need here, please contact the University Admissions and Access Service (admissions@qub.ac.uk), giving full details of your qualifications and educational background.

International Students

Our country/region pages include information on entry requirements, tuition fees, scholarships, student profiles, upcoming events and contacts for your country/region. Use the dropdown list below for specific information for your country/region.

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English Language Requirements

An IELTS score of 6.0 with a minimum of 5.5 in each test component or an equivalent acceptable qualification, details of which are available at: http://go.qub.ac.uk/EnglishLanguageReqs

Career Prospects

Introduction

The Stage 3 Work Based Learning module is an excellent opportunity for students to gain real-world industry experience. Some of the organisations our students have completed placements with include: DTS, Pi Communications, RTE, Production House, Start Together Studios, Redbox Recording, Smalltown America Studios, Blast Furnace Studios, Sonic Visuals.

The programme prepares students for a wide range of possible career paths including studio and venue audio engineering, broadcasting, audiology, acoustic consultancy, artist management, concert-venue management, audio system support, education and other areas of the music and audio industries. Companies currently employing our graduates include Google, BBC, UTV, Apple, BT, Rapid 7, Sensum, Mogees Ltd, Storyful, Cased Dimensions, Universitat Pompeu Fabra, Steven’s Institute of Technology, Trinity College Dublin, Queen’s University Belfast and Ulster University.

Further study, including Masters programmes, is also an option; see the School website for further information.

Employment after the Course

The BSc Audio Engineering commenced in September 2017.

Graduates of related programmes at Queen’s have found employment in areas such as software and hardware engineering, studio and venue audio engineering, broadcasting, audiology, acoustic consultancy, artist management, concert-venue management, audio system support, education and other areas of the music and audio industries.

On average, employment success rates for graduates from ELE and SESE programmes in EEECS are greater than 85% within six months. Good employment prospects are therefore envisaged for the BSc Audio engineering students.

Employment Links

Companies currently employing our graduates include Google, BBC, UTV, Apple, BT, Rapid 7, Sensum, Mogees Ltd, Storyful, Cased Dimensions, Universitat Pompeu Fabra, Steven’s Institute of Technology, Trinity College Dublin, Queen’s University Belfast and Ulster University.

Our graduates are likely to be employable also outside the audio domain. The ELE and SESE graduates have excellent well-paid career prospects across a wide spectrum: design, research, development, production, marketing and sales in employment areas such as avionics and space, telecommunications and broadcasting, connected health and medical electronics, consumer electronics and gaming, computing and software, embedded systems and electronic security.

Alumni Success

The BSc Audio Engineering is a new degree programme which commenced in September 2017. Graduates of related programmes at Queen’s have been very successful in the area of audio engineering and include:

Nicholas Gillian, Engineer and Creative Technologist, Google
Mark McKeague, Creative Technologist, New York Times
Daniel Drayne, Product Owner, Spotify
Niamh O’Meara, Technical Sales Engineer, Polytec
Nicholas Crowe, Product Manager, Opticon
Irene Kelly, Audiologist, Beacon Audiology
Conor Barry, Product Manager, Mogees, London
John King, Interactive Designer, Sensum
Fiona McDermott, Interaction Design Centre

Prizes and Awards

Queen's is a lead UK university in tackling the unequal representation of women in science and engineering. Queen's holds 15 SWAN departmental awards, including two Gold, as well as an institutional Silver Award.

Degree Plus/Future Ready Award for extra-curricular skills

In addition to your degree programme, at Queen's you can have the opportunity to gain wider life, academic and employability skills. For example, placements, voluntary work, clubs, societies, sports and lots more. So not only do you graduate with a degree recognised from a world leading university, you'll have practical national and international experience plus a wider exposure to life overall. We call this Degree Plus/Future Ready Award. It's what makes studying at Queen's University Belfast special.

Tuition Fees

Northern Ireland (NI) 1	£4,855
Republic of Ireland (ROI) 2	£4,855
England, Scotland or Wales (GB) 1	£9,535
EU Other 3	£25,300
International	£25,300

¹EU citizens in the EU Settlement Scheme, with settled status, will be charged the NI or GB tuition fee based on where they are ordinarily resident. Students who are ROI nationals resident in GB will be charged the GB fee.

² EU students who are ROI nationals resident in ROI are eligible for NI tuition fees.

³ EU Other students (excludes Republic of Ireland nationals living in GB, NI or ROI) are charged tuition fees in line with international fees.

The tuition fees quoted above for NI and ROI are the 2024/25 fees and will be updated when the new fees are known. In addition, all tuition fees will be subject to an annual inflationary increase in each year of the course. Fees quoted relate to a single year of study unless explicitly stated otherwise.

Tuition fee rates are calculated based on a student’s tuition fee status and generally increase annually by inflation. How tuition fees are determined is set out in the Student Finance Framework.

Additional course costs

The School is an Avid Learning Partner and optional courses providing Avid certification in the use of ProTools are available as part of the programme. The cost of these courses ranges from £20 to £90 per course.

All Students

Depending on the programme of study, there may be extra costs which are not covered by tuition fees, which students will need to consider when planning their studies.

Students can borrow books and access online learning resources from any Queen's library. If students wish to purchase recommended texts, rather than borrow them from the University Library, prices per text can range from £30 to £100. Students should also budget between £30 to £75 per year for photocopying, memory sticks and printing charges.

Students undertaking a period of work placement or study abroad, as either a compulsory or optional part of their programme, should be aware that they will have to fund additional travel and living costs.

If a programme includes a major project or dissertation, there may be costs associated with transport, accommodation and/or materials. The amount will depend on the project chosen. There may also be additional costs for printing and binding.

Students may wish to consider purchasing an electronic device; costs will vary depending on the specification of the model chosen.

There are also additional charges for graduation ceremonies, examination resits and library fines.

Scholarships

Each year, we offer a range of scholarships and prizes for new students. Information on scholarships available.

How to Apply

Application for admission to full-time undergraduate and sandwich courses at the University should normally be made through the Universities and Colleges Admissions Service (UCAS). Full information can be obtained from the UCAS website at: www.ucas.com/students.

When to Apply

UCAS will start processing applications for entry in autumn 2025 from early September 2024.

The advisory closing date for the receipt of applications for entry in 2025 is still to be confirmed by UCAS but is normally in late January (18:00). This is the 'equal consideration' deadline for this course.

Applications from UK and EU (Republic of Ireland) students after this date are, in practice, considered by Queen’s for entry to this course throughout the remainder of the application cycle (30 June 2025) subject to the availability of places. If you apply for 2025 entry after this deadline, you will automatically be entered into Clearing.

Applications from International and EU (Other) students are normally considered by Queen's for entry to this course until 30 June 2025. If you apply for 2025 entry after this deadline, you will automatically be entered into Clearing.

Applicants are encouraged to apply as early as is consistent with having made a careful and considered choice of institutions and courses.

The Institution code name for Queen's is QBELF and the institution code is Q75.

Further information on applying to study at Queen's is available at: www.qub.ac.uk/Study/Undergraduate/How-to-apply/

Apply via UCAS

Terms and Conditions

The terms and conditions that apply when you accept an offer of a place at the University on a taught programme of study. Queen's University Belfast Terms and Conditions.

Additional Information for International (non-EU) Students

1. Applying through UCAS
   Most students make their applications through UCAS (Universities and Colleges Admissions Service) for full-time undergraduate degree programmes at Queen's. The UCAS application deadline for international students is 30 June 2025.
2. Applying direct
   The Direct Entry Application form is to be used by international applicants who wish to apply directly, and only, to Queen's or who have been asked to provide information in advance of submitting a formal UCAS application. Find out more.
3. Applying through agents and partners
   The University’s in-country representatives can assist you to submit a UCAS application or a direct application. Please consult the Agent List to find an agent in your country who will help you with your application to Queen’s University.

Download Undergraduate Prospectus