EEE2009 : Signals and Communications II
- Offered for Year: 2020/21
- Module Leader(s): Dr Martin Johnston
- Lecturer: Dr Mohsen Naqvi
- Owning School: Engineering
- Teaching Location: Newcastle City Campus
Semesters
| Semester 2 Credit Value: | 20 |
| ECTS Credits: | 10.0 |
Aims
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
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.
Teaching Methods
Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.
Teaching Activities
| Category | Activity | Number | Length | Student Hours | Comment |
|---|---|---|---|---|---|
| Scheduled Learning And Teaching Activities | Lecture | 54 | 0:20 | 18:00 | Non-synchronous recorded lecture material. |
| Guided Independent Study | Assessment preparation and completion | 1 | 5:00 | 5:00 | Writing of summatively assessed lab report |
| Guided Independent Study | Assessment preparation and completion | 1 | 1:00 | 1:00 | Formatively assessed online NUMBAS test in middle of semester |
| Guided Independent Study | Assessment preparation and completion | 1 | 10:00 | 10:00 | Revision for online NUMBAS test |
| Guided Independent Study | Assessment preparation and completion | 24 | 1:00 | 24:00 | Revision for final exam |
| Scheduled Learning And Teaching Activities | Practical | 1 | 3:00 | 3:00 | One 3-hr (PiP) practical lab session or home based Matlab experiment on Frequency Modulation. |
| Structured Guided Learning | Structured research and reading activities | 9 | 2:00 | 18:00 | Reading activity to supplement knowledge of material taught in each week. |
| Guided Independent Study | Independent study | 54 | 0:20 | 18:00 | Student study time of non-synchronous pre-recorded material |
| Guided Independent Study | Independent study | 1 | 94:00 | 94:00 | Reviewing lecture notes; general reading |
| Scheduled Learning And Teaching Activities | Scheduled on-line contact time | 9 | 1:00 | 9:00 | One online synchronous tutorial per week, reviewing non-synchronous taught material. |
| Total | 200:00 |
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.
Alternative will be offered to students who are unable to be present in person.
Students should consult their individual timetable for up-to-date delivery information.
Assessment Methods
Please note that module leaders are reviewing the module teaching and assessment methods for Semester 2 modules, in light of the Covid-19 restrictions. There may also be a few further changes to Semester 1 modules. Final information will be available by the end of August 2020 in for Semester 1 modules and the end of October 2020 for Semester 2 modules.
The format of resits will be determined by the Board of Examiners
Exams
| Description | Length | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|---|
| Written Examination | 120 | 2 | A | 85 | 24-hour Open-Book Exam |
Other Assessment
| Description | Semester | When Set | Percentage | Comment |
|---|---|---|---|---|
| Practical/lab report | 2 | M | 15 | Completion of a notebook for lab report preparation worth 3% and lab report worth 12% |
Formative Assessments
| Description | Semester | When Set | Comment |
|---|---|---|---|
| Computer assessment | 1 | M | NUMBAS Mid-term assessment. |
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 enables 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. The formative computer-based assessment will assess student understanding of material taught up to the middle of the semester and to provide student feedback.
Reading Lists
Timetable
- Timetable Website: www.ncl.ac.uk/timetable/
- EEE2009's Timetable