Loughborough University
Leicestershire, UK
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Loughborough University

Programme Specifications

Programme Specification

MSc Signal Processing in Communication Systems

Academic Year: 2014/15

This specification provides a concise summary of the main features of the programme and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if full advantage is taken of the learning opportunities that are provided.

This specification applies to delivery of the programme in the Academic Year indicated above. Prospective students reviewing this information for a later year of study should be aware that these details are subject to change as outlined in our Terms and Conditions of Study.

This specification should be read in conjunction with:

  • Summary
  • Aims
  • Learning outcomes
  • Structure
  • Progression & weighting

Programme summary

Awarding body/institution Loughborough University
Teaching institution (if different)
Owning school/department School of Electronic, Electrical and Systems Engineering - pre-2016
Details of accreditation by a professional/statutory body

IET

Final award MSc/ PGDip / PGCert
Programme title Signal Processing in Communication Systems
Programme code ELPT 50
Length of programme The duration of the programme is one year. The programme is available on a full-time basis.
UCAS code
Admissions criteria

http://www.lboro.ac.uk/study/postgraduate/courses/departments/eleceng/signalprocessingincommunicationsystems/

All students register on the MSc programme, the PGDip and PGCert are only available as exit awards.

Date at which the programme specification was published Thu, 27 Nov 2014 13:31:13 GMT

1. Programme Aims

The Master of Science programme in Signal Processing aims to develop a thorough knowledge and fundamental awareness of both theoretical and practical solutions for processing signals within digital communication systems.

The programme:

  • provides a foundation for a career in modern information engineering through study of advanced modules in digital communications and signal processing.
  • Equips students with state-of-the-art knowledge and skills in areas such as multi-modal, audio and video, and multi-sensor, distributed cognitive radio, systems through pursuing an advanced individual project working within the advanced signal processing group.
  • Exposes students to a variety of group and individual learning experiences such as using the latest industry-standard real-time signal processing tools from Texas Instruments and case studies provided by academic staff and guest lecturers.
  • Gives opportunity to be part of the research community within the School of Electronic, Electrical and Systems Engineering and attend seminars and interact with world-leading visting researchers.
  • Delivers graduates ready to exploit signal processing in a wide range of emerging application areas such as big data, bioinformatics, information processing in the smart grid, sensing and networks, software defined and cognitive radio, and wireless communications.

2. Relevant subject benchmark statements and other external and internal reference points used to inform programme outcomes:

UK Standard for Professional Engineering Competence; Engineering Technician, Incorporated Engineer and Chartered Engineer Standard, Engineering Council UK, 2013.

UK Standard for Professional Engineering Competence; The Accreditation of Higher Education Programmes, Engineering Council UK, 2011.

IET Handbook of Learning Outcomes for BEng and MEng Degree Programmes, October 2009.

The UK Quality Code for Higher Education, the Quality Assurance Agency for Higher Education, April 2012.

Master's characteristics, The Quality Assurance Agency for Higher Education, March 2010.

The framework for higher education qualifications in England, Wales and Northern Ireland, The Quality Assurance Agency for Higher Education, August 2008.

Subject Benchmark Statement: Engineering, The Quality Assurance Agency for Higher Education, November 2010.

Code of practice for the assurance of academic quality and standards in higher education, Section 7: Programme design, approval, monitoring and review, The Quality Assurance Agency for Higher Education, September 2006.

The Northern Ireland Credit Accumulation and Transfer System (NICATS); Principles and Guidelines, 2002.

Proposals for national arrangements for the use of academic credit in higher education in England; Final report of the Burgess Group, December 2006.

3. Programme Learning Outcomes

3.1 Knowledge and Understanding

On successful completion of this programme, students should be able to demonstrate knowledge and understanding of

  • Mathematical methods appropriate to the programme
  • Principles of engineering science appropriate to the programme
  • Principles of Information Technology and Communications appropriate to the programme
  • Design principles and techniques appropriate to electronic and electrical components, equipment and associated software
  • Operational practices and requirements for safe operation relevant to the programme

3.2 Skills and other attributes

a. Subject-specific cognitive skills:

On successful completion of this programme students should be able to

  • Select and apply appropriate mathematical and/or computer based methods for modelling and analysing practical and hypothetical engineering problems
  • Model and analyse engineering systems, processes, components and products
  • Develop engineering solutions to practical problems
  • Integrate, evaluate and use information, data and ideas from a wide range of sources
  • Develop new systems, processes, components or products by integrating ideas from a wide range of sources
b. Subject-specific practical skills:

On successful completion of this programme students should be able to

  • Use appropriate mathematical methods for modelling and analysing engineering problems relevant to the programme
  • Use relevant test and measurement equipment
  • Use computational tools and packages (including programming languages where appropriate)
  • Design systems, components or processes
  • Undertake testing of design ideas in the laboratory or by simulation, and analyse and critically evaluate the results
  • Search for and retrieve information, ideas and data from a variety of sources 
  • Manage a project and apply appropriate processes
  • Produce technical reports, papers, diagrams and drawings
c. Key transferable skills:

On successful completion of this programme students should be able to

  • Manipulate, sort and present data in a range of forms
  • Use evidence based methods in the solution of complex problems
  • Work with limited, incomplete and/or contradictory information in the solution of unfamiliar problems
  • Use an engineering approach to the solution of problems in unfamiliar situations
  • Be creative and innovative in problem solving
  • Use a wide range of information and communications technology
  • Manage time and resources
  • Communicate effectively orally, visually and in writing at an appropriate level
  • Learn effectively, continuously and independently in a variety of environments

4. Programme structure

 

Code

Module title

Modular weight

Semester

Signal Processing in Communication Systems

 

ELP006

Fundamentals of Digital Signal Processing

15

1

 c

ELP009

Communication Networks

 15

1

 c

ELP011

Information Theory and Coding

 15

1

 c

ELP015

Communication Channels

15

1

 c

ELP008

Digital Signal Processing for Software Defined Radio

15

2

 c

ELP017

Mobile Network Technologies

15

2

 c

ELP024

Multimedia over Networks

15

2

c

ELP003

Research Project

15

2

c

ELP012

Project in Signal Processing

60

2

c

All modules for the Signal Processing in Communication Systems programme are compulsory.

5. Criteria for Progression and Degree Award

In order to be eligible for the award, candidates must satisfy the requirements of Regulation XXI.

6. Relative Weighting of Parts of the Programme for the Purposes of Final Degree Classification

Prospective students

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