MEng FT Audio Systems Engineering

Year 1

Signals and Information

Signals and Information

This first year module introduces the fundamentals of signals, Fourier Series, information theory and signal statistics. Topics covered include: signal fundamentals such as discrete versus continuous time signals; signal average, energy and power; orthogonality; Fourier Series. The module also provides an introduction to information theory, including the information measure, entropy and the binary symmetric channel. Basic ideas in statistics will also be introduced. It will be taught by a combination of lectures, tutorials and labs.

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Signals and Information

Summary:
This first year module introduces the fundamentals of signals, Fourier Series, information theory and signal statistics. Topics covered include: signal fundamentals such as discrete versus continuous time signals; signal average, energy and power; orthogonality; Fourier Series. The module also provides an introduction to information theory, including the information measure, entropy and the binary symmetric channel. Basic ideas in statistics will also be introduced. It will be taught by a combination of lectures, tutorials and labs.
Credits:
15.0
Aims:
To provide an understanding of the fundamentals of signals, Fourier Series, information theory and signal statistics, including how these are evaluated, and how they are used in a limited range of practical real-world scenarios.

Analogue Electronic Systems

Analogue Electronic Systems

This is a level-1 course introducing students to electronic devices, components, circuits and simple systems. There is particular emphasis on the basic theorems and techniques of electric circuit theory in relation to simple a.c. and d.c. circuits in order to provide a sound theoretical background to both analogue and digital courses in subsequent semesters.

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Analogue Electronic Systems

Summary:
This is a level-1 course introducing students to electronic devices, components, circuits and simple systems. There is particular emphasis on the basic theorems and techniques of electric circuit theory in relation to simple a.c. and d.c. circuits in order to provide a sound theoretical background to both analogue and digital courses in subsequent semesters.
Credits:
15.0
Pre-requisites:
None
Aims:
To provide a sound understanding of basic devices and circuits in Electronic Engineering.
Objectives:
Explain the advantages of electronic assemblies over alternatives such as mechanical alternatives. Explain the difference between, and relative advantages, of analogue and digital operation. Explain the operation of transducers used to interface electronic assemblies to the environment. Describe the basic physics and mathematical models of passive electronic components Describe the behaviour of Resistance, Capacitance and Inductance in simple circuits. Derive equations describing the properties and steady-state behaviour of simple passive and active d.c. circuits excited by constant current and/or constant voltage sources. Use the concept and application of sinusoidal waves as an analysis and application technique applied to electronic assemblies. Derive equations describing the properties and steady-state behaviour of simple passive and active a.c. circuits excited by constant current and/or constant voltage sources in terms of both phasor diagrams and notation. Derive Thevenin and Norton equivalents of simple dc and ac circuits. Derive the Transfer Functions of simple, frequency-dependent networks such as filters. Analyse transients in simple R-C, L-C and L-C-R circuits Sketch voltage/current versus time waveforms. Use basic laboratory test equipment including, oscilloscopes, analogue and digital meters for current and voltage measurements, signal generators, timer-counters for frequency measurement and power supplies. Use decibels (dBs) in both theoretical and practical work.
Core Skills:
Conceptually model physical systems (e.g. mechanical, plasma etc) by equivalent electrical circuit networks. Apply fundamental mathematical techniques to enable description of analogous transient and resonant phenomena that occur in various physical systems.

Professional and Research Themes

Electronic Engineering Mathematics I

Electronic Engineering Mathematics I

This module covers linear algebra, vector algebra and analysis, and differential equations. Linear algebra includes: introduction to Matrices, addition of Matrices, multiplication of Matrices, Systems of Equations; Eigenvalues and eigenvectors. Differential Equations cover first and second order D.E, and vector algebra includes field operators and surface and volume integration in different coordinate systems. All topics will be related to engineering applications.

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Electronic Engineering Mathematics I

Summary:
This module covers linear algebra, vector algebra and analysis, and differential equations. Linear algebra includes: introduction to Matrices, addition of Matrices, multiplication of Matrices, Systems of Equations; Eigenvalues and eigenvectors. Differential Equations cover first and second order D.E, and vector algebra includes field operators and surface and volume integration in different coordinate systems. All topics will be related to engineering applications.
Credits:
15.0
Pre-requisites:
Maths A level or equivalent

Procedural Programming

Procedural Programming

This is a laboratory-based course supported by lectures. Each student will have a weekly timetabled lab session. These sessions will be backed up by a weekly two-hour lecture.

Topics include the use of:

• basic control structures
• arrays and other datatypes
• methods and recursion
• simple search and sort algorithms

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Procedural Programming

Summary:

This is a laboratory-based course supported by lectures. Each student will have a weekly timetabled lab session. These sessions will be backed up by a weekly two-hour lecture.

Topics include the use of:

• basic control structures
• arrays and other datatypes
• methods and recursion
• simple search and sort algorithms

Credits:
15.0
Pre-requisites:
- None - .
Aims:
The major aim of this course is to teach you how to write simple programs fluently and correctly. In the course of doing this you will also learn to read and understand programs, and some basic use of an operating system. The course is given using Java under Linux, but the skills you will learn are intended to be transferable.
Objectives:
By the end of the module you will be able to: - write code at a procedural level fluently and accurately, - explain the functioning of your code to others and document it suitably, - read similar code written by others, understand it, track down errors, and make modifications. - explain technical programming concepts and discuss issues related to them.
Core Skills:
By the end of the module you will be able to: - solve problems by thinking algorithmically, - recognize when an algorithmic solution can be used to solve a range of problems - recognize the underlying logic within problems and solutions, - explain programming concepts, - compare and contrast related technical concepts - discuss issues: arguing a case based on evidence for both sides of the argument then drawing evidence-based conclusions. Programming develops a range of skills such as logical thinking and problem solving. The course also focuses on technical writing skills. These transferable skills are developed in the context of programming.

Introduction to Multimedia

Introduction to Multimedia

This module gives students an introduction to the representation, analysis and processing of digital multimedia.

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Introduction to Multimedia

Summary:
This module gives students an introduction to the representation, analysis and processing of digital multimedia.
Credits:
15.0
Aims:
This module aims to provide students with: - an overview of the various types of multimedia, including images, audio and video - a basic knowledge of discrete-time signals and systems - an introduction to frequency-domain representation of signals and systems - knowledge of the theory and practice of quantisation and sampling of multimedia signals - an overview of visual and auditory perception as they relate to multimedia - an understanding of digital representations of images, audio and video including various colour space representations - an introduction to multimedia processing systems - a high-level view of the applications of practical multimedia systems

Introduction to Digital Audio

Digital Circuit Design

Digital Circuit Design

The Course is concerned with the design of digital electronic circuits. The principles of combinational and sequential logic design and the fundamentals of digital hardware design are covered.

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Digital Circuit Design

Summary:
The Course is concerned with the design of digital electronic circuits. The principles of combinational and sequential logic design and the fundamentals of digital hardware design are covered.
Credits:
15.0
Pre-requisites:
A level Maths
Aims:
To introduce the basic theorems of digital logic; To present basic techniques for designing digital circuits; To provide the knowledge and understanding required to embark on level 2 courses concerned with digital systems and microprocessors.
Objectives:
Perform number base conversions; use complements to represent signed numbers and perform arithmetic operations with negative numbers Understand the difference between binary numbers and codes and error detection. Manipulate Boolean algebraic expressions using the Boolean postulates and theorems. Derive a Boolean function from the truth table of the function. Use a Karnaugh map to reduce a Boolean function to its minimum form. Express a combinational logic function as a logic gate circuit; convert expressions between the sum-of-products and the product-of-sums forms and implement in NAND or NOR gate form respectively. Use NAND gates to realise a half-adder logic circuit. Use the half adder as a building block for full-adders, parallel adders and multipliers. Understand the gate structure and applications of MSI logic chips such as code converters, decoders and encoders, multiplexers and demultiplexers. Devise test vectors to perform waveform analysis on combinational logic circuits. Understand how to use logic gates to build gated latches and flip-flops. Use characteristic tables and state diagrams to design sequential logic circuits. Use TTL integrated circuit logic chips to build combinational and sequential logic circuits in the lab.
Books:
Digital Design: Principles and Practices by John F. Wakerly; 4th Edition updated; Prentice Hall 2001; ISBN 0130898961

Year 2

Programming Fundamentals

Programming Fundamentals

The course stresses the importance and principles of computer algorithm design and structured programming techniques as a discipline for developing quality software. Fundamental concepts of software programming, including the use of pseudocodes, flowcharts and structured high-level programming languages are introduced. The C programming language is used as the high-level programming language.

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Programming Fundamentals

Summary:
The course stresses the importance and principles of computer algorithm design and structured programming techniques as a discipline for developing quality software. Fundamental concepts of software programming, including the use of pseudocodes, flowcharts and structured high-level programming languages are introduced. The C programming language is used as the high-level programming language.
Credits:
15.0
Aims:
The course aims to give students unfamiliar with software programming: - a methodology for developing programs; - knowledge of the concepts of programming in a high-level language; - knowledge of the features of the C programming language; - practice in developing simple programs.
Objectives:
Design simple algorithms using top-down stepwise refinement. Describe the basic aspects of any high-level language. Describe the basic features of the C language. Write, debug and execute programs in the C language which fulfill a set of specifications.
Core Skills:
Manage their time effectively to prepare and finish the lab exercises. Produce written laboratory reports.
Books:
Beginning C by Ivor Horton; Wrox Press 1997; ISBN 1861001142
Extra Costs:
There are no additional costs to study this module, unless you exceed your print credit and choose to purchase additional print credit.

Interactive Media Design and Production

Interactive Media Design and Production

This unit will provide principles of interactive media production and design using conventional media processing tools.

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Interactive Media Design and Production

Summary:
This unit will provide principles of interactive media production and design using conventional media processing tools.
Credits:
15.0
Pre-requisites:
ELE105, ELE207
Aims:
To study human aspects and interaction in the creation of artistic and informative media structures using commercial tools To practice presentation and design using interactive media tools To learn about different aspects of tools for interactive media To introduce optimizing principles for web images To discuss principles of image, video and graphics
Objectives:
Explain the fundamentals of hypermedia analysis and comprehension Demonstrate the skills needed for interaction in the creation of artistic and informative media structures Demonstrate skills in presentation design according to human thinking, action and creative dimensions Explain different aspects of interactive media dimensions including combinations of media production and information sciences, arts subjects, marketing, administrative sciences and education Interpret models through which interactive media can be analysed Explain how interactive multimedia is produced Demonstrate skill in producing interactive multimedia Explain how interactive multimedia is managed.
Core Skills:
Analyse information in the literature. Present a coherent report on a topic that is initially unfamiliar. Assess information and produce a summary.
Books:
Digital Multimediaby Nigel Chapman, Jenny Chapman

Internet Protocols

Internet Protocols

This course examines the TCP/IP protocol suite from OSI layers 1 through to 4. Particular emphasis is placed on CSMA/CD LAN operation, Internet Protocol including Addressing, Routing and Subnetting and Transmission Control Protocol.

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Internet Protocols

Summary:
This course examines the TCP/IP protocol suite from OSI layers 1 through to 4. Particular emphasis is placed on CSMA/CD LAN operation, Internet Protocol including Addressing, Routing and Subnetting and Transmission Control Protocol.
Credits:
15.0
Pre-requisites:
ELE103
Aims:
The aim is to provide an in-depth knowledge of contemporary and widely-deployed Internet Protocols, providing the student with an insight into their functionality and inter-relationship. The material is sufficient to enable the student to design basic intranet and internet architectures, including both bridged and routed networks. Consideration is also given to different transport layer protocols to provide features not inherently present in the underlying network.
Objectives:
Explain the protocols that provide the Internet infrastructure, their role, how they operate and a number of implementation details. Design simple network architectures. Perform basic configuration and fault diagnosis in an Interior Gateway Routed environment using IOS-like scripts and utilities such as TCPDump, Ping and TraceRoute.
Books:
Internetworking with TCP/IP Vol 1: Principles, Protocols and Architecture by D. Comer; 5th Edition; Prentice Hall 2006; ISBN 0131876716
Extra Costs:
There are no additional costs to study this module, unless you exceed your print credit and choose to purchase additional print credit.

Design and Build

Design and Build

A group project for second year Electronic Engineering students to enable them to learn practical skills in solving engineering problems using software and electronics.

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Design and Build

Summary:
A group project for second year Electronic Engineering students to enable them to learn practical skills in solving engineering problems using software and electronics.
Credits:
15.0
Pre-requisites:
None
Aims:
To give participants experience in working as a team, project-related problem-solving skills, and implementing both hardware and software to satisfy a specification.
Objectives:
Formulated a solution to a particular problem, actively contributed to a team group, successfully documented the outcomes
Core Skills:
Demonstrate the ability to work as part of a team, managing people where appropriate, exhibited good research skills, communicated effectively within the group and to assessment staff.

Database Systems

Database Systems

Introduction to databases and their language systems in theory and practice.The main topics covered by the course are:

• The principles and components of database management systems.
• The main modelling techniques used in the construction of database systems.
• Implementation of databases using an object-relational database management system.
• SQL, the main relational database language.
• Object-Oriented database systems.
• Future trends, in particular information retrieval and data warehouses.

There are 2 timetabled lectures a week, and 1 hour tutorial per week (though not every week). There will be timetabled laboratory sessions (2 hours a week) for approximately 10 weeks.

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Database Systems

Summary:

Introduction to databases and their language systems in theory and practice.The main topics covered by the course are:

• The principles and components of database management systems.
• The main modelling techniques used in the construction of database systems.
• Implementation of databases using an object-relational database management system.
• SQL, the main relational database language.
• Object-Oriented database systems.
• Future trends, in particular information retrieval and data warehouses.

There are 2 timetabled lectures a week, and 1 hour tutorial per week (though not every week). There will be timetabled laboratory sessions (2 hours a week) for approximately 10 weeks.

Credits:
15.0
Pre-requisites:
No formal prerequisites, but some experience of programming language(s), and an awareness of some aspects of operating systems and systems design.
Aims:

• To give an understanding of the purpose, features and facilities of database management systems.
• To give an understanding of the various database models, and their interrelationships.
• To give an understanding of, and practical experience of using, the relational database language SQL.

Objectives:
At the end of this course the student should be able to:

• Describe the facilities and features of database management systems.
• Construct database models from informal descriptions, and translate between such models.
• Implement, manipulate and query relational databases.
• Be aware of advanced database technologies.
• Describe relevant professional issues, including the role of the system administrator in DBMS use and management.

Core Skills:

• Team working
• Written and oral communication
• Time management
• Problem solving
• Awareness of professional issues

Books:

Database systems, Elmasri and Navathe, 6th Edition,Addison-Wesley.

Database Systems, 5th or 4th ed, Thomas Connolly and Carolyn Begg, Addison Wesley.

On-line manuals for the relational database management system used for the practicals.

Extra Costs:
There are no additional costs to study this module, unless you exceed your print credit and choose to purchase additional print credit.

Telecom Systems

Telecom Systems

This course provides a broad background to modern telecommunications systems and the underlying theory, including wireless networks and the Internet.

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Telecom Systems

Summary:
This course provides a broad background to modern telecommunications systems and the underlying theory, including wireless networks and the Internet.
Credits:
15.0
Aims:
The course aims to: equip participants with a basic understanding of modern digital communications, show how communications networks are evolving, introduce important fundamental topics in coding and information theory, and provide experience in searching for information, filtering that information and presenting a summary.
Objectives:
Explain the principles of operation and architectures of circuit-switched and packet/cell-switched network; wired and wireless. Describe the operation of transmission. Calculate simple numerical problems on aspects of source coding, error-control coding, Queuing Theory and Information Theory.
Core Skills:
Assemble information on new topics. Evaluate information found.
Books:
Digital Communications (2nd Edition); I. A. Glover and P. M. Grant; Pearson; 2004; ISBN 0-130-89399-4

Microprocessor Systems Design

Microprocessor Systems Design

The course examines the structure, applications and programming of microcontroller and similar devices. There will be practical work on using the devices as part of the module.

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Microprocessor Systems Design

Summary:
The course examines the structure, applications and programming of microcontroller and similar devices. There will be practical work on using the devices as part of the module.
Credits:
15.0
Pre-requisites:
ECS412U
Aims:

- To impart an understanding of the architectures of microcontrollers and microprocessors.

- To impart an understanding of the design issues in using microcontrollers and similar devices.

- To enable students to make an informed choice of microcontrollers or similar device for a particular application.

- To enable students to use microcontroller devices in electronic circuits.

Objectives:

- Understand the architecture of microcontroller and microprocessor devices.

- Understand the timing, memory and data transfer limitations of using these devices.

- Be able to choose the right device for a particular application.

- Understand of the development cycle for the devices.

- Understand interfacing issues for the devices.

- Be able to write C code and assembly code for the devices.

- Use a microcontroller in an electronic circuit.

Core Skills:

- Analyse information in the literature.

- Present a coherent report on a topic that is initially unfamiliar.

- Assess information and produce a summary.

Books:
The 8051 Microcontroller and Embedded Systems (2nd edition) by M A Mazidi and J Mazidi and R McKinlay; Prentice Hall 2006; ISBN 9780131194021

Software Engineering Theory

Software Engineering Theory

Software Engineering is concerned with applying engineering principles to the production of software. This module provides the management principles, theoretical foundations, tools, notation and background necessary to develop and test large-scale software systems. The practical part of the module consists of lab assignments in which students use a range of relevant tools (a Java programming IDE, unit testing tool, configuration management tool, UML design tool, and project planning tool).

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Software Engineering Theory

Summary:
Software Engineering is concerned with applying engineering principles to the production of software. This module provides the management principles, theoretical foundations, tools, notation and background necessary to develop and test large-scale software systems. The practical part of the module consists of lab assignments in which students use a range of relevant tools (a Java programming IDE, unit testing tool, configuration management tool, UML design tool, and project planning tool).
Credits:
15.0
Pre-requisites:
First course in Java
Aims:
To ensure students have the necessary understanding of the principles and tools needed to build and test large-scale software systems. In particular, it provides the necessary background for students to undertake a significant group project assignment in subsequent modules or employment.
Objectives:

• Understand the difference between programming-in-the-small and programming-in-the-large.
• Understand different software life-cycles, including how to deliver systems incrementally
• Understand and apply a range of project management techniques and tools, including planning, configuration management running effective meetings, and risk management
• Be able to use a Java IDE to develop and test programs. Understand the principles of object oriented design and UML and how to use a UML tool to document various aspects of their designs.
• Understand and apply basic software design patterns
• Understand the importance of software quality assurance and metrics, including a range of testing methods
• Be able to produce a range of documentation necessary for software systems.

Core Skills:

• A range of interpersonal and communication skills
• A range of report writing skills, ranging from improving their technical report writing through to how to write up minutes of meetings
• Project management, time management and planning
• A range of problem solving skills
• How to arrange and conduct meetings
• A range of software documentation skills
• General office management IT skills (spreadsheets, word processing, presentation packages)
• Object oriented analysis and design

Books:
Jia X, 'Object-Oriented Software Development Using Java, 2nd Edition' , Addison-Wesley Pub Co; ISBN: 0-201-73733-7, 2003


Horstmann C "Big Java", 2nd Edition, Wiley 2005, ISBN ISBN 0-471-69703-6

Sound Design

Sound Design

New module under development for 2013/14. Information pertaining to this module will appear once approved.

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Sound Design

Summary:
New module under development for 2013/14. Information pertaining to this module will appear once approved.
Credits:
15.0
Aims:
New module under development for 2013/14. Information pertaining to this module will appear once approved.
Objectives:
New module under development for 2013/14. Information pertaining to this module will appear once approved.
Core Skills:
New module under development for 2013/14. Information pertaining to this module will appear once approved.
Extra Costs:
New module under development for 2013/14. Information pertaining to this module will appear once approved.

Year 3

Digital Signal Processing

Digital Signal Processing

This is a level 3 course which builds upon the signal processing theory introduced in ELE374, Signals and Systems Theory. The main part of the course covers the theory of digital signal processing techniques and digital filter design. The course concludes with an examination of some applications of digital signal processing.

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Digital Signal Processing

Summary:
This is a level 3 course which builds upon the signal processing theory introduced in ELE374, Signals and Systems Theory. The main part of the course covers the theory of digital signal processing techniques and digital filter design. The course concludes with an examination of some applications of digital signal processing.
Credits:
15.0
Pre-requisites:
ELE374
Aims:
To introduce students to the advanced concepts of processing signals that are represented as finite-precision number sequences, and to examine the role of digital signal processing techniques in digital storage and transmission.
Objectives:
Explain the principles of analogue-to-digital and digital-to-analogue conversion of band-limited signals, and be aware of the limitations and imperfections of real systems. Describe the discrete-time representation of sampled signals. Explain the concepts of linearity, time-invariance, stability, causality, discrete-time convolution and linear-coefficient difference equations. Explain the principles, theory and properties of the DTFT, the DFT and the z-transform. Understand the principles of discrete time filters (FIR and IIR). Design simple FIR linear-phase filters using the window method or by frequency-sampling design. Design computational structures for the realization of DSP algorithms for filters.
Books:
Digital Signal Processing Concepts and Applications by B. Mulgrew, P Grant and J Thompson; MacMillan 2003; ISBN 0333963563
Extra Costs:
There are no additional costs to study this module, unless you exceed your print credit and choose to purchase additional print credit.

Digital Audio Effects

Digital Audio Effects

This course introduces digital audio effects and related subjects. The main emphasis will be on the use of digital signal processing and its applications to the creation or modification of sounds and sound effects.

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Digital Audio Effects

Summary:
This course introduces digital audio effects and related subjects. The main emphasis will be on the use of digital signal processing and its applications to the creation or modification of sounds and sound effects.
Credits:
15.0
Aims:
This course covers the entire field of digital audio effects, including some depth in the subfields and related subjects. It is concerned with the use of digital signal processing and its applications to the creation or modification of sounds and sound effects. It explains what can be done in the digital processing of sounds in the form of computer algorithms and sound examples resulting from these transformations. It describes signal processing concepts and software implementations, as well as advances in filters, delays, modulators, and time-frequency processing of sound. It primarily cover time-domain, non- linear, time-segment, time-frequency, source-filter, spectral, bitstream signal processing, spatial effects, time and frequency warping, and the control of audio effects. It is a core component necessary to provide engineering students with training in advanced music and audio technologies, and to give them the technical background and skills they need to create the tools used in audio production, audio engineering, and broadcasting. The lectures assume that the students have some basic knowledge of digital signal processing, and build upon that knowledge to teach students how to analyze and modify any musical audio signal. The lectures will use standard teaching materials and sample MATLAB code and audio files. The students will also gain an understanding of the creation, modification and modelling of digital audio, and understand how the complex algorithms are used in many common applications.
Objectives:
Methods to create a physical model of a sound or musical instrument. How audio signals are filtered, and which filter is appropriate for a given task. How to create common effects, such as wah-wah, flange, vibrato, tremolo, trill, echo... How time segment processing is performed. Specialised processing techniques often applied to audio, such as nonlinear and spectral processing, and when and how they are applied. Phase vocoder technology and how phase vocoders are used to create effects. How to do time scaling and pitch shifting on a signal, and how different methods are applied for speech and music, and for polyphonic and monophonic situations.. The effects of 3d sound, and how to reproduce a 3 dimensional effect using a minimum number of channels. Gain a general knowledge of how audio effects are produced, and how each of the audio effects mentioned in class fit into a general theory of audio analysis and effect creation.
Books:
Computational Auditory Scene Analysis by D.F. Rosenthal and H.G. Okuno; Lawrence Erlbaum Assoc. 1998; ISBN 0805822836
Extra Costs:
There are no additional costs to study this module, unless you exceed your print credit and choose to purchase additional print credit.

Music and Speech Processing

Music and Speech Processing

This course aims to introduce students to the application of Digital Signal Processing to music and speech.

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Music and Speech Processing

Summary:
This course aims to introduce students to the application of Digital Signal Processing to music and speech.
Credits:
15.0
Pre-requisites:
ELE502, ELEM020, ELEM018
Aims:
The application-oriented nature of the syllabus will reinforce the theory learned in other courses through lectures and laboratories.
Objectives:
Describe the physiology and physics involved in sound production and perception. Demonstrate how various fundamental concepts in Digital Signal Processing can be combined into systems, like a Digital Power Amplifier. Demonstrate how higher level processing components are constructed from lower level ones. Discuss how compression of speech and of music, though similar, have different requirements. Propose specific compressors for specific applications. Identify latest innovations in this area involving delivery formats such as Internet and DVD. Position their acquired knowledge in a commercial context.
Core Skills:
Students will be able to evaluate and design complex signal processing systems.
Books:
Applications of Digital Signal Processing to Audio and Acoustics by M.Kahrs and K.Brandenburg; KAP 1998; ISBN 0792381300
Extra Costs:
There are no additional costs to study this module, unless you exceed your print credit and choose to purchase additional print credit.

Advanced Database Systems and Technology

Advanced Database Systems and Technology

Active Databases, database performance tuning and query optimisation, database administration and data dictionary, Databases for XML and XML query languages: DTD, model, native database, XPath, XQuery, mapping to object-relational DBMS; Data mining: the exploration of large quantities of data for the discovery of meaningful rules and knowledge; Distributed database architectures: client-server, distributed, federated; temporal-spatial and moving objects databases.

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Advanced Database Systems and Technology

Summary:
Active Databases, database performance tuning and query optimisation, database administration and data dictionary, Databases for XML and XML query languages: DTD, model, native database, XPath, XQuery, mapping to object-relational DBMS; Data mining: the exploration of large quantities of data for the discovery of meaningful rules and knowledge; Distributed database architectures: client-server, distributed, federated; temporal-spatial and moving objects databases.
Credits:
15.0
Pre-requisites:
DCS225 Database Systems (or equivalent module): NB Students who have already taken and passed DCS317 at undergraduate level 3 may not take this masters version.
Aims:
To provide students with a critical understanding of the models, architectures and language approaches underpinning recent advances in database technology.
To enable students to carry out critical comparisons between different development and implementation approaches.
To illustrate the application of extended database technology across a range of interesting and complex applications.
Objectives:
To be able to describe approaches to the storage and access of text and semi-structured data
To describe different architectures for the provision of distributed and mobile database technology
To discuss and apply techniques for tuning the performance of database schemas and queries To compare different approaches to data mining. To discuss concepts in the design of temporal, spatial and moving objects databases.
Critically evaluate the appropriateness of different approaches to database management problems in the areas outlined above.
Core Skills:
Group working, written communication, literature research, analytical problem solving.

Communication Systems Electronics

Communication Systems Electronics

New module under development for 2012/13. Information pertaining to this module will appear once approved.

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Communication Systems Electronics

Summary:
New module under development for 2012/13. Information pertaining to this module will appear once approved.
Credits:
15.0
Aims:
New module under development for 2012/13. Information pertaining to this module will appear once approved.
Objectives:
New module under development for 2012/13. Information pertaining to this module will appear once approved.
Core Skills:
New module under development for 2012/13. Information pertaining to this module will appear once approved.
Extra Costs:
New module under development for 2012/13. Information pertaining to this module will appear once approved.

Enterprise Management

Enterprise Management

Introduction to business and management concepts and theories. Development of these concepts and theories in an engineering/technology context.

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Enterprise Management

Summary:
Introduction to business and management concepts and theories. Development of these concepts and theories in an engineering/technology context.
Credits:
15.0
Aims:
This is a module aimed at giving students an initial understanding of key business concepts that will then be developed further both in this module and in subsequent modules taken on the above degrees. The QAA in its Engineering Benchmark statement and the industry recommend that Engineering students take at least one business module as part of their degree programme in order that they obtain key skills. This module has been specifically designed to fulfill the needs of Electronic Engineering students based in the UK. The case studies and examples used in the module will be representative of the International Business environment.
Objectives:
Demonstrate relevant knowledge and understanding of organisations, the external environment in which they operate and how they are managed. Demonstrate relevant knowledge and skills that can be applied in an organisation to respond to change in both the internal and external environment. Explain each of the areas of business covered in the module and how they interact. Apply knowledge to practical and 'real-life' management situations. Apply knowledge of management to business scenarios in the International market
Core Skills:
Research a topic; Work as part of a team in organising time and sharing tasks; Manage time effectively and produce written progress reports and a final report on time; Write an essay that communicates a reasoned argument in a structured, clear, concise and well-presented manner; Demonstrate skills of critical thinking, analysis and synthesis in class discussions and assessment.
Books:
A. Palmer and B. Hartley (2009), The Business Environment, 6th Edition, published by: McGraw-Hill; 007711972X
Extra Costs:
There are no additional costs to study this module, unless you exceed your print credit and choose to purchase additional print credit.

Microprocessor Systems Design

Microprocessor Systems Design

The course examines the structure, applications and programming of microcontroller and similar devices. There will be practical work on using the devices as part of the module.

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Microprocessor Systems Design

Summary:
The course examines the structure, applications and programming of microcontroller and similar devices. There will be practical work on using the devices as part of the module.
Credits:
15.0
Pre-requisites:
ECS412U
Aims:

- To impart an understanding of the architectures of microcontrollers and microprocessors.

- To impart an understanding of the design issues in using microcontrollers and similar devices.

- To enable students to make an informed choice of microcontrollers or similar device for a particular application.

- To enable students to use microcontroller devices in electronic circuits.

Objectives:

- Understand the architecture of microcontroller and microprocessor devices.

- Understand the timing, memory and data transfer limitations of using these devices.

- Be able to choose the right device for a particular application.

- Understand of the development cycle for the devices.

- Understand interfacing issues for the devices.

- Be able to write C code and assembly code for the devices.

- Use a microcontroller in an electronic circuit.

Core Skills:

- Analyse information in the literature.

- Present a coherent report on a topic that is initially unfamiliar.

- Assess information and produce a summary.

Books:
The 8051 Microcontroller and Embedded Systems (2nd edition) by M A Mazidi and J Mazidi and R McKinlay; Prentice Hall 2006; ISBN 9780131194021

Integrated Circuit Design

Integrated Circuit Design

The course introduces CAD, design methodology, architectures, circuit and fabrication techniques for integrated circuits. The main emphasis is on CMOS design.

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Integrated Circuit Design

Summary:
The course introduces CAD, design methodology, architectures, circuit and fabrication techniques for integrated circuits. The main emphasis is on CMOS design.
Credits:
15.0
Pre-requisites:
ELE335 or equivalent
Aims:
To give an understanding of the technology used to manufacture integrated circuits and of the different fabrication technologies currently used. To introduce the CAD tools used in designing integrated circuits and to introduce students to the use of these tools. To explain some of the algorithms and file formats used in the CAD tools. To explain techniques used in circuit design for integrated circuits. To give students an understanding of the state of the art in integrated circuit design. To give students an understanding of IC test techniques and the importance of considering testing from the beginning of the design process.
Objectives:
Recall factual knowledge and be able to apply it in familiar and unfamiliar situations. Employ scientific, mathematical and software 'tools' to a familiar or unfamiliar situation; Interpret information presented in the form of technical circuit-diagrams, flow-charts and high-level languages. Use laboratory test equipment. Critically appraise a particular topic. Express the financial background against which decisions are made in Industry.
Core Skills:
Use CAD software Write a report on an electronic design
Books:
CMOS VLSI Design: A Circuits and Systems Perspective by N.H.E. Weste and D. Harris; 3rd International Edition; Addison-Wesley 2005; ISBN 0321269772

Interaction Design

Interaction Design

Traditionally, interactive systems design has focussed on enhancing people's efficiency or productivity. For example, to increase the speed with which tasks can be completed or to minimise the number of errors people make. Economic and social changes have led to a situation in which the primary use of many technologies is for social interaction and fun; i.e. in which there is no quantifiable output and no clear goal other than enjoyment. Computer games, mobile music players and online communities are all examples where the quality of the experience is the primary aim of the interaction.

This course explores the challenges these new technologies, and the industries they have created, present for the design and evaluation of interactive systems. It moves away from a human-computer interaction model which is too constrained for real world problems and provides students with an opportunity to engage with theories relating to cultural dynamics, social activity, and live performance. It explores the nature of engagement with interactive systems and between people when mediated by interactive systems.

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Interaction Design

Summary:
Traditionally, interactive systems design has focussed on enhancing people's efficiency or productivity. For example, to increase the speed with which tasks can be completed or to minimise the number of errors people make. Economic and social changes have led to a situation in which the primary use of many technologies is for social interaction and fun; i.e. in which there is no quantifiable output and no clear goal other than enjoyment. Computer games, mobile music players and online communities are all examples where the quality of the experience is the primary aim of the interaction.

This course explores the challenges these new technologies, and the industries they have created, present for the design and evaluation of interactive systems. It moves away from a human-computer interaction model which is too constrained for real world problems and provides students with an opportunity to engage with theories relating to cultural dynamics, social activity, and live performance. It explores the nature of engagement with interactive systems and between people when mediated by interactive systems.
Credits:
15.0
Pre-requisites:
GUI or Interactive System Design or by arrangement with course leader. Good java/general programming skills.
Aims:
This course aims to:

• establish the importance of social context, aesthetics and experience for interaction design
• analyse the impact of technology on human relationships and social organisation
• identify novel uses of technology to aid interaction, creativity, performance and engagement.
• provide analytic perspectives, tools and techniques that support design for user experience.
• provide experience of programming for interactional data

Objectives:

• To explain the contrast between conventional HCI and interaction design.
• To compare Ethnomethodology, Activity Theory and Distributed Cognition as approaches to the analysis of social context
• To provide a basic grounding in the phenomenological analysis of user experience
• To introduce concepts and models for human social interaction
• To introduce performance methods, concepts and techniques as an approach to design
• To build and exhibit an interesting interactive artifact

Core Skills:
Communication skills

1 Communicate effectively in writing in a style appropriate to the situation (may include visual/graphic media where appropriate)
Examination, exercises, and coursework test such skills.

2 Close read and synthesise information from extended documents including abstract ideas/ arguments to extract lines of reasoning
The recommended course reading list provides the material to develop these skills.

3 Understand, interpret and use specialist vocabulary
An understanding of the basic principles of psychology, sociology, and ethnomethodology is acquired.

4 Make an oral presentation
There is scope for students to present and discuss work orally in lectures.

Working with others

5 Establish and maintain co-operative working relationships and agree ways to overcome difficulties
N/A

6 Plan and agree group objectives , responsibilities and working arrangements
N/A

7 Interact effectively and create opportunities for others to contribute to discussions; exchange information and ideas and modify responses
Courseworks enable students to develop and practice the above skills. Lectures provide feedback and discussion opportunities. In addition there is scope for students to present work and engage in discussion about the topics covered

8 Review work with others, including factors that influence the outcome.
Courseworks enable students to develop and practice the above skills, as does critical reflection in the lectures.

Problem Solving

9 Explore the problem, identifying key areas and compare and choose the appropriate tools/ methods for its resolution (and be able to justify that choice)
N/A

10 Plan and implement methods, review progress and revise as necessary
N/A

11 Apply agreed methods to check the problem has been resolved
N/A

Numeracy

12 Select and use numerical information and methods appropriate to the discipline
Courseworks require students to select between different analytic approaches.

13 Carry out multi-stage calculations, including those of a large data set
N/A

14 Explain and justify the choice of methods and the results of calculations
Justification of approach are part of the assessment process

The use of information technology

15 Search and select appropriate information from a range of sources based on judgements of relevance and quality
Courseworks enable students to develop and practice the such skills in a group setting, with feedback from peers and assessors.

16 Use a software package to manage references
N/A

17 Use a range of methods to explore, develop and exchange information
N/A

Learning how to learn, (improving own learning and performance.)

18 Develop appropriate research strategies & take responsibility for learning with minimum direction
Coursework is self-directed with students selecting from a range of open ended possibilities.

19 Manage learning using available resources
Online and library resources are used to support this course's learning infrastructure.

20 Evaluate strengths and weaknesses, challenge received opinion and develop own criteria and judgement
Coursework involves critical reflection on their own, and other's work using approaches covered in the course.

Personal & professional development

21 Collect, record and analyse data relating to potential occupational areas
N/A

22 Reflect on and record development of own career ideas
N/A

Extra Costs:
There are no additional costs to study this module, unless you exceed your print credit and choose to purchase additional print credit.

Team Project

Team Project

A group simulation project to be taken by all third year MEng students registered for an MEng programme of study in Electronic Engineering.

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Team Project

Summary:
A group simulation project to be taken by all third year MEng students registered for an MEng programme of study in Electronic Engineering.
Credits:
30.0
Aims:
To give students experience in: working as a team, problem solving skills, implementing a design or development project possibly using simulation tools.
Objectives:
Apply scientific and/or engineering principles to the solution of a practical problem.
Core Skills:
Work as part of a team in organising time and sharing tasks. Manage time effectively and produce written progress reports and a final report on time. Make effective presentations of their project work, and demonstrate the project. Write a project final report that is satisfactory in literary terms and completely describes the project work. Critically evaluate the work to current technical practice.
Extra Costs:
Particiapation of this module may require purchasing electronic components or other devices. A budget is provided, where this is necessary. The budget is sufficient to cover the cost of successfully completing the project. A student may choose to exceed the budget in which case the student would be liable to pay the difference between the budget limit and the cost of any components.

Sound Recording and Production Techniques

Year 4

Advanced Transform Methods

Advanced Transform Methods

Time-frequency transforms are an important tool in the analysis and processing of signals and images. These transforms include the Fourier transform, spectrogram, discrete cosine transform, wavelet transform, and Wigner-Ville distribution. This course will introduce these various transforms and explore how they are suitable for different signal and image processing applications.

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Advanced Transform Methods

Summary:
Time-frequency transforms are an important tool in the analysis and processing of signals and images. These transforms include the Fourier transform, spectrogram, discrete cosine transform, wavelet transform, and Wigner-Ville distribution. This course will introduce these various transforms and explore how they are suitable for different signal and image processing applications.
Credits:
15.0
Pre-requisites:
ELE502 or ELEM020
Aims:
This course aims to introduce transform and sub-band techniques as a pre-cursor to compression and other applications. It is the first step beyond the fundamentals of Digital Signal processing.
Objectives:
Recall a range of joint time-frequency transforms. Discuss the relative merits of different transforms. Employ the common mathematical framework underlying many transform methods. Derive various properties of different transforms. Use high performance mathematical visualization software (e.g. Matlab) to implement these transforms. Apply these transforms to signal and image processing problems, such as compression or denoising.
Core Skills:
Analyse information using mathematical models
Books:
A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way, by S.G. Mallat; Academic Press, ISBN: 13: 978-0-12-374370-1
Extra Costs:
There are no additional costs to study this module, unless you exceed your print credit and choose to purchase additional print credit.

Entrepreneurship in Information Technology

Entrepreneurship in Information Technology

The aim of this module is to increase your awareness of the commercial opportunities available to you in the area of Information Technology. We examine how to cultivate an entrepreneurial mind set and discuss the routes available for turning your ideas into business ventures. The course provides an introduction to a number of crucial business skills such as financial planning, business planning and how to sell yourself and your ideas.

Please note that numbers on this course are limited. Priority will be given to Computer Science students who have this course on their recommended programme.

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Entrepreneurship in Information Technology

Summary:

The aim of this module is to increase your awareness of the commercial opportunities available to you in the area of Information Technology. We examine how to cultivate an entrepreneurial mind set and discuss the routes available for turning your ideas into business ventures. The course provides an introduction to a number of crucial business skills such as financial planning, business planning and how to sell yourself and your ideas.

Please note that numbers on this course are limited. Priority will be given to Computer Science students who have this course on their recommended programme.

Credits:
15.0
Pre-requisites:
None
Aims:

• Highlight the importance of commercialisation of technology-based ideas both in the University and the industrial environment.
• Creatively explore commercial opportunities within information technology.
• Introduce the different routes available to take an idea to market.
• Develop the skills required to start a business venture.
• Explain the key considerations involved in intellectual property and idea protection.
• Introduce the key aspects of financial management required in the development of a business venture.

Objectives:

• An understanding of entrepreneurship and the enterprise culture.
• Demonstrate knowledge of the elements required to generate opportunities and to commercialise technology-based ideas.
• An understanding of the process involved in protecting and validating ideas.
• Demonstrate knowledge of the importance of business and financial planning and how to develop a business plan.
• Identify the sources available to fund ideas.
• Work through problems as an effective team member.
• Evaluate and present outcomes through oral presentation.
• Independently manage learning and the use of a wide range of resources with minimal guidance.
• Critically appraise progress of independent work.
• Make informed decisions about career choice and applications for jobs or further study.

Core Skills:
Concise and effective presentation: presentation and written reports. Teamwork.

Structured Documents and XML

Structured Documents and XML

XML has very rapidly become an extremely popular (and much-hyped)language. We will examine

• The role of XML in computer science
• XML and the semantic web
• XSLT as a programming language

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Structured Documents and XML

Summary:
XML has very rapidly become an extremely popular (and much-hyped)language. We will examine

• The role of XML in computer science
• XML and the semantic web
• XSLT as a programming language

Pre-requisites:
Some knowledge of programming (preferably in Java or C++)
Aims:
This course will provide the students with an understanding of, and practical experience of, the roles of structured and semi-structured information in computer science
Objectives:
Understand and use the following;

• Knowledge of XML syntax and the various specificationlanguages (DTD, schema) used to constrain the syntax
• Knowledge of the type system underlying XML Schema
• Knowledge of the XSLT transformation language and thevarious programming techniques (structural recursion, pattern matching) needed to use it.
• Knowledge of the design issues involved in XML applications

Core Skills:
Analyse the conceptual structure of real-world information and to translate it into a formal specification

Functional Programming

Functional Programming

Recent approaches to systems programming frequently involve functional programming either overtly in the sense that they use modern functional programming languages for rapid prototyping, or more covertly in that they use techniques developed in the functional setting as a way of lending greater structure and clarity to code. This module gives a structured introduction to programming in modern industrial functional languages such as Haskell and F# and to techniques such as map-reduce and monadic programming.

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Functional Programming

Summary:
Recent approaches to systems programming frequently involve functional programming either overtly in the sense that they use modern functional programming languages for rapid prototyping, or more covertly in that they use techniques developed in the functional setting as a way of lending greater structure and clarity to code. This module gives a structured introduction to programming in modern industrial functional languages such as Haskell and F# and to techniques such as map-reduce and monadic programming.
Credits:
15.0
Pre-requisites:
DCS/100 Procedural Programming, DCS/104 Object Oriented Programming, or close equivalents to these.
Aims:

• To give a structured introduction to the languages Haskell and F#.
• To familiarise the student with the underlying type structures and the basic programming methodology.
• To exhibit more advanced type structures (such as functors) and programming techniques such as map-reduce and monadic programming, and to illustrate how these are used to give flexible extendible and parallelisable solutions to programming problems.

Objectives:
By the end of the course the student should be:

• able to program fluently in Haskell and F#
• familiar with the higher-order aspects of the type systems of these languages, and able to use them to structure code
• able to analyse programming problems, to recognise where they can be effectively addressed using components of the following basket of functional programming techniques, and to produce working code using those techniques:
  • map-reduce
  • monadic programming

Core Skills:

• Computational thinking, through the understanding and use of a new computational paradigm
• Presentation of technical material, through provision and presentation of the deliverables for the coursework
• Self-organisation, through the delivery of a final project to time constraints

Books:
Book 1
Title: Learn You a Haskell for Great Good
Author: Miran Lipovaca
Note: Available for free online at http://learnyouahaskell.com/chapters
 
Book 2
Title: Programming in Haskell
Author: Graham Hutton
 
Book 3
Title: Real World Functional Programming
Authors: Tomas Petricek and Jon Skeet
Note: Articles available for free online at http://msdn.microsoft.com/en-us/library/hh314518.aspx

Business Technology Strategy

Business Technology Strategy

The Business Technology Strategy module is focused on strategic management of research and development and how technology strategy drives the commercial strategy of innovative technology-based organisations. This module complements the technical areas of the degrees by focusing on the telecommunications sector. The increased exposure to and understanding of the benefits of strategic knowledge and thinking will give the graduates a better preparation for management roles within this sector.

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Business Technology Strategy

Summary:
The Business Technology Strategy module is focused on strategic management of research and development and how technology strategy drives the commercial strategy of innovative technology-based organisations. This module complements the technical areas of the degrees by focusing on the telecommunications sector. The increased exposure to and understanding of the benefits of strategic knowledge and thinking will give the graduates a better preparation for management roles within this sector.
Credits:
15.0
Pre-requisites:
MTRM019 or ELE402 or ELB3402
Aims:
Understand the importance of technology strategy to businesses and how this is linked to commercial strategy Understand the theoretical knowledge and how to apply it to real-world examples. Students will have exposure to theory and practical case studies to build up their strategic skills. Case studies will be in the International business environment, with specific interest in the UK and Asia.
Objectives:
Acquire project management and strategic management skills. Assess possible solutions to a given problem. Research a topic. Work as part of a team in organising time and sharing tasks.
Core Skills:
Manage time effectively and produce written progress reports and a final report on time. Write a report that communicates a reasoned argument in a structured, clear, concise and well-presented manner. Display effective presentation skills.

Real-Time DSP

Real-Time DSP

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Real-Time DSP

Credits:
15.0
Pre-requisites:
Digital signal processing, signals and systems
Aims:
1. To introduce students to DSP chips and common accompanying hardware components by familiarizing them with the Texas Instruments C6711 evaluation module. 2. To allow students to work with the software environment provided by DSP chip manufacturers and to explore the additional software constructs and mechanisms provided to allow the development of real-time applications. 3. For students to develop an understanding of whether an application must be executable in real-time and, if so, what constraints this imposes on the design of the software and the use of the hardware. 4. To encourage students to fully use and help them to interpret the large body of documentation, sample code and user manuals that exists for the topics this course will encompass. 5. To introduce students, by demonstration, platform specific and DSP chip specific debugging techniques and to appreciate the problems encountered when debugging real-time applications. 6. To positively encourage independent learning and synthesis of ideas through project work.
Objectives:
1. To introduce students to DSP chips and common accompanying hardware components by familiarizing them with the Texas Instruments C6711 evaluation module. o Students should become very familiar with the technology, its properties, strengths and weaknesses. o Students should be aware of the choices available when choosing a processor, and when to select a DSP over an ASIC or a general purpose processor. 2. To allow students to work with the software environment provided by DSP chip manufacturers and to explore the additional software constructs and mechanisms provided to allow the development of real-time applications. o Students must be able to demonstrate a working knowledge of the Texas Instruments ‘Code Composer Studio’ software package. o Students must be able to utilize the real-time specific functionality of the software environment. 3. For students to develop an understanding of whether an application must be executable in real-time and, if so, what constraints this imposes on the design of the software and the use of the hardware. o Students must be able to differentiate between real-time and non-real-time applications. o Students must appreciate how the real-time requirement has shaped the development of DSP chips and will shape their applications. 4. To encourage students to fully use and help them to interpret the large body of documentation, sample code and user manuals that exists for the topics this course will encompass. o Students are expected to use the user manuals supplied with the evaluation module to complete assignments. o Students are expected to identify when to write original applications and when to draw from existing material. 5. To introduce students, by demonstration, to platform specific and DSP chip specific debugging techniques and to appreciate the problems encountered when debugging real-time applications. o Students must successfully solve problems in a laboratory environment. 6. To positively encourage independent learning and synthesis of ideas through project work. o Students will complete a project of their own specification that is expected to demonstrate an understanding of most (if not all) of the aims and learning outcomes of this course. o Students must demonstrate the ability to critically appraise their own work. o Students are expected to present results in an unambiguous fashion and to appreciate why this is particularly difficult in the fields of both real-time applications and of audio or video applications.
Extra Costs:
There are no additional costs to study this module, unless you exceed your print credit and choose to purchase additional print credit.

Music Analysis and Synthesis

Music Analysis and Synthesis

This course introduces students to common methods for the analysis and synthesis of digital audio. It presents in-depth studies of general approaches to the low-level analysis of audio signals, and follows these with specialised methods for the semantic analysis of music signals, including the extraction of information related to the rhythm, melody, harmony and instrumentation of recorded music. This is followed by an examination of the most important methods of sound synthesis, including wavetable, sampling, additive, subtractive, modulation, and physical modelling synthesis

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Music Analysis and Synthesis

Summary:
This course introduces students to common methods for the analysis and synthesis of digital audio. It presents in-depth studies of general approaches to the low-level analysis of audio signals, and follows these with specialised methods for the semantic analysis of music signals, including the extraction of information related to the rhythm, melody, harmony and instrumentation of recorded music. This is followed by an examination of the most important methods of sound synthesis, including wavetable, sampling, additive, subtractive, modulation, and physical modelling synthesis
Credits:
15.0
Pre-requisites:
ELEM020 and ELEM018
Aims:
This module is intended to provide students with advanced training in standard and state-of-the-art techniques for music analysis and synthesis. This knowledge is relevant for the music generation, processing, recording, reproduction and distribution industries, with special emphasis on music-oriented on-line services and the development of software and hardware for musicians, musicologists, sound engineers and producers. Background in digital signal processing is essential for the understanding of analysis and synthesis processes on musical signals.
Objectives:
- Understand the specific issues involving the analysis and synthesis of musical signals and the use of the presented techniques in real-world applications. - Gain a deep understanding of sound synthesis using linear and non-linear methods - Understand and gain practice in the use of sinusoidal models and the phase vocoder as analysis/synthesis tools. - Learn about high-level music analysis techniques for event detection, beat tracking and pitch estimation in monophonic and polyphonic music. - Students will also be introduced to advanced topics related to the state-of-the-art in music analysis and its applications.
Books:
The Csound Book: Perspectives in Software Synthesis, Sound Design, Signal Processing and Programming by Richard Boulanger (Editor); MIT 2000; ISBN 0262522616

Machine Learning

Machine Learning

This course covers methods for machine learning from signals and data, including statistical pattern recognition methods, neural networks, and clustering.

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Machine Learning

Summary:
This course covers methods for machine learning from signals and data, including statistical pattern recognition methods, neural networks, and clustering.
Credits:
15.0
Aims:
The aim of the course is to give students an understanding of machine learning methods, including pattern recognition, clustering and neural networks, and to allow them to apply such methods in a range of areas.
Objectives:
Recall a range of machine learning techniques and algorithms, including neural networks and statistical methods Use concepts from probability theory in machine learning Derive and analyse properties of machine learning methods Discuss the relative merits of different machine learning techniques and approaches Apply machine learning methods to the analysis of signals and data
Books:
Probability Random Variables and Stochastic Processes by A. Papoulis; McGraw-Hill 2002; ISBN 0071199810
Extra Costs:
There are no additional costs to study this module, unless you exceed your print credit and choose to purchase additional print credit.

Project

Project

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Project

Credits:
30.0
Extra Costs:
Particiapation of this module may require purchasing electronic components or other devices. A budget is provided, where this is necessary. The budget is sufficient to cover the cost of successfully completing the project. A student may choose to exceed the budget in which case the student would be liable to pay the difference between the budget limit and the cost of any components.