Module Catalogue 2018/19

EEE2009 : Signals and Communications II

  • Offered for Year: 2018/19
  • Module Leader(s): Dr Martin Johnston
  • Lecturer: Dr Kianoush Nazarpour
  • Owning School: Engineering
  • Teaching Location: Newcastle City Campus
Semester 2 Credit Value: 20
ECTS Credits: 10.0
Pre Requisites
Code Title
EEE1003Circuit Theory
ENG1001Engineering Mathematics I
EEE1005Signals and Communications I
Pre Requisite Comment

To understand and calculate transforms, it is necessary for the students to take the Engineering Mathematics module during their first year. In addition, circuit analysis will be used as the application of the transforms, and therefore it is necessary for the students to take the Circuit Theory module. Furthermore basic understanding of the principles of communications and communication systems is necessary for the parts about modulation and information theory.

Co Requisites
Co Requisite Comment



To provide knowledge and understanding of the fundamentals of linear systems theory and its application to the analysis of signals and system behaviour.
To provide understanding of the basic design principles of communication systems.
To enhance understanding of communications concepts and systems.
To enable the student to appreciate the vital role of analogue and digital communications in the modern world.
To understand basic concepts of information theory and channel coding.

Outline Of Syllabus

Signals and Systems Overview
Introduction to continuous and discrete signals and systems, classifications of signals, operations of signals, convolution.

Laplace Transform
The definition of Laplace transforms and their properties and applications, inverse Laplace transform, continuous time poles and zeros concepts, circuit analysis by applying Laplace transforms.

Fourier transform
The impulse response, transfer function, Fourier transforms for systems and signals and their applications, inverse Fourier transform, Fourier transform properties, Discrete Fourier transforms, Fast Fourier transform and their application to beyond 3G mobile communication systems.

Z transform and its applications, sampling, discrete time pole/zero concepts, description of transfer matrices, analysis of discrete time systems.

Communication system overview
Introduction to elements of communication systems, coding, modulation, channels.

Analogue modulation
Amplitude modulation, frequency modulation, narrow and wide band FM systems.

Digital Communication Schemes
Amplitude shift keying (ASK), Frequency shift keying (FSK), Phase shift keying (PSK), Quadrature amplitude modulation (QAM), spectrum efficiency and system demands, performance in noisy channels.

Information Theory
Entropy and mutual information, conditional entropy and mutual information, relationship between entropy and mutual information, channel capacity and Shannon theorems,

Error detection and correction coding
Introduction to channel coding and its benefits, the importance of the minimum Hamming distance and its effect on error detection and correction, a study of two coding schemes: parity check and repetition codes, simple decoding algorithms.

Learning Outcomes

Intended Knowledge Outcomes

Understanding of :
Time and frequency domain representation of continuous and discrete signals.
Continuous and discrete time linear transforms.
The applications of these linear transforms in practical communication systems.
Circuit analysis using Laplace transform, Fourier transform and Z transform.
Sampling and coding of signals.

Analogue and digital modulation and demodulation concepts and their theoretical performance on an additive white Gaussian noise channel.
An understanding of mutual information, entropy, transmission rate, and channel capacity.
An understanding of the concepts of channel coding, applications in digital communication where error correction is used, the importance of the minimum Hamming distance and its effect on error detection and correction.

Intended Skill Outcomes

Ability to:
Apply continuous and discrete time linear transforms in the analysis of simple linear systems
Analyse and synthesise simple continuous and discrete signals.
Perform digital communication systems design.
Analyse the information transmission rate of a practical system and the impact of noise and signal power to channel capacity.
Analyse effects of noise in a communication systems.
Use signal generators, oscilloscopes and spectrum analyser to analyse signals and communication systems in time and frequency domains.

Graduate Skills Framework

Graduate Skills Framework Applicable: Yes
  • Cognitive/Intellectual Skills
    • Critical Thinking : Present
    • Numeracy : Assessed
    • Literacy : Assessed
    • Information Literacy
      • Source Materials : Assessed
      • Synthesise And Present Materials : Present
      • Use Of Computer Applications : Present
  • Self Management
    • Planning and Organisation
      • Goal Setting And Action Planning : Present
      • Decision Making : Present
    • Personal Enterprise
      • Innovation And Creativity : Assessed
      • Initiative : Assessed
      • Problem Solving : Assessed
  • Interaction
    • Communication
      • Written Other : Assessed

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Guided Independent StudyAssessment preparation and completion12:002:00Final exam
Scheduled Learning And Teaching ActivitiesLecture121:0012:00Tutorials
Scheduled Learning And Teaching ActivitiesLecture481:0048:00Lectures
Guided Independent StudyAssessment preparation and completion215:0030:00Problem solving exercises
Guided Independent StudyAssessment preparation and completion25:0010:00Lab reports
Guided Independent StudyAssessment preparation and completion480:3024:00Revision for final exam
Scheduled Learning And Teaching ActivitiesPractical43:0012:00Electronics Laboratory
Guided Independent StudyIndependent study131:0031:00reviewing lecture notes.
Guided Independent StudyIndependent study131:0031:00General reading
Teaching Rationale And Relationship

Lectures provide core material and guidance for further reading. Problem solving is introduced through lectures and practised during tutorial sessions. Laboratory sessions provide an opportunity to gain practical experience of the application of techniques introduced during lectures

Reading Lists

Assessment Methods

The format of resits will be determined by the Board of Examiners

Description Length Semester When Set Percentage Comment
Written Examination1202A70N/A
Other Assessment
Description Semester When Set Percentage Comment
Prob solv exercises2M15Problem solving exercises for signals and communications.
Practical/lab report2M15Completion of a notebook for lab report preparation worth 3% and two lab reports worth 6% each.
Assessment Rationale And Relationship

The examination provides the opportunity for the students to demonstrate their understanding of the course material. The problem solving aspects of the examination and of the assignment enable the students to demonstrate that they are able to apply this understanding and their analysis and synthesis skills to specific problems. The laboratory report provides the opportunity for the students to demonstrate an in-depth understanding of selected topics.


Past Exam Papers

General Notes

Original Handbook text:

Disclaimer: The information contained within the Module Catalogue relates to the 2018/19 academic year. In accordance with University Terms and Conditions, the University makes all reasonable efforts to deliver the modules as described. Modules may be amended on an annual basis to take account of changing staff expertise, developments in the discipline, the requirements of external bodies and partners, and student feedback. Module information for the 2018/19 entry will be published here in early-April 2018. Queries about information in the Module Catalogue should in the first instance be addressed to your School Office.