module specification

CT5001 - Signals and Systems (2020/21)

Module specification Module approved to run in 2020/21
Module status DELETED (This module is no longer running)
Module title Signals and Systems
Module level Intermediate (05)
Credit rating for module 30
School School of Computing and Digital Media
Total study hours 300
90 hours Scheduled learning & teaching activities
60 hours Assessment Preparation / Delivery
150 hours Guided independent study
Assessment components
Type Weighting Qualifying mark Description
Coursework 25%   Coursework 1 (1000 words)
Coursework 25%   Coursework 2 (1000 words)
Unseen Examination 50%   Unseen Examination, 2-Hours
Running in 2020/21

(Please note that module timeslots are subject to change)
No instances running in the year

Module summary

This module develops the skills required for the design and analysis of continuous-time signals and linear systems.  It provides the necessary mathematical tools for linear circuit analysis and design such as operational amplifier-based active filters.  It also provides analysis of periodic and non-periodic signals.

The aims of the module are:
• To understand the necessary mathematical tools for linear system analysis and design
• To understand the necessary mathematical tools for the analysis of signals
• To apply the mathematical tools on real applications involving signals and linear time-invariant  systems
• To develop the ability in solving a real problem in the field of linear systems such as active filter design and analysis.
• To develop the ability in analysing periodic and non-periodic signals

Prior learning requirements

MA4005 completed


Basic fundamental concepts: Signal classifications - periodic/non-periodic; deterministic/random; continuous/discrete; Some basic signals - unit impulse; unit step; exponential; sinusoid;
Basic operations on signals - amplitude scaling; time shifting; addition of signals; LO1 

System classifications - linear/non-linear; time variant/time invariant; stable/unstable. LO2

Transforms and their applications:
Laplace transforms – definition; Laplace transforms of some basic signals; s-domain impedance of electrical networks; Active and Passive filters; Transient and steady-state response of linear systems (e.g. filters); unit step and sinusoidal responses of a linear systems; filter's transfer function and its use in determining the transient and steady state response; frequency response and determination of steady-state sinusoidal response of linear systems. LO3,4

Fourier series – definition; exponential form; trigonometric form; and evaluation of coefficients; applications in circuit analysis. 
Fourier transforms – definition; properties; Fourier transforms of some basic signals; table of Fourier transforms and properties; applications to continuous time signals and systems. LO3

Use of simulation tools and laboratory equipment in design, analysis and testing of liner systems; engineering practice/process LO5,6

Balance of independent study and scheduled teaching activity

Lecture (1 Hour per week) followed by Laboratory work/ Tutorials (2 hours per week)
All lecture material including supplementary notes as well as the workshop manuals, guidelines on how to maintain the logbooks, past exam papers, tutorial and solutions are available via Weblearn site for the module.  Student’s query and feedback are also announced on this website

Learning and teaching


Learning outcomes

On successful completion of this module students will have:

LO1. The knowledge of the functionality of linear systems.
LO2. The ability to analyse behaviour of linear systems.
LO3. The ability to use some of the most common types of transforms in the analysis of appropriate signals and systems
LO4. The ability to design and analyse some common types of analogue filters, given an engineering set of specification with critical appraisal of the findings through professional documentation
LO5. The ability to use appropriate simulation tools such as Matlab/ Multisim and laboratory equipment in the design, analysis and testing of linear signals and systems.
LO6.  The ability to estimate cost of a product and quality within the economic context of engineering process.

Assessment strategy

The unseen examination is used to assess students’ deeper understanding and learning of the concepts of the module.  Due to the nature of the assessment, the major learning outcomes of the module (LO1 to Lo4) are effectively assessed by the unseen examination.

The coursework 1 bring together the applications of the mathematical contents of the first half of the module into the design and analysis signals and liner systems.  This would develop students’ skills, knowledge and confidence in handling continuous-time linear systems and also analysing appropriate signals. It involves analysis and Design of a linear system using mathematical tools such as Laplace transform.  It also involves implementation (by the use of appropriate software such as Matlab and Multisim), simulation and testing of the designed circuit.  Students would be expected to submit an individual report reflecting the theoretical design and simulation and also Matlab/Multisim simulation and analysis of the obtained simulation results.  (LO3 to 6)

The coursework 2 bring together the applications of the mathematical contents of the second half of the module into the design and analysis signals and liner systems.  This would develop students’ skills, knowledge and confidence in handling continuous-time linear systems and also analysing appropriate signals.  It involves analysis of periodic and non-periodic signals and also simulation of such signals be the use of an appropriate software such as Matlab.  Students are expected to submit an individual report for this coursework reflecting theoretical analysis and simulation results and analysis. (LO3, LO5, LO6)


Core Text:

• B P Lathi (2010), Linear Systems and Signals, OUP, ISBN: 0195392574,

• Alex Palamides, Anastasia Veloni (2014), Signals and systems laboratory with MATLAB, CRC Press, ISBN: 1439894299,

Other Text:

• Shaila Dinkar Apte (2016), Signals and systems : principles and applications,  Cambridge University Press, ISBN: 9781316536483,

• Hwei P. Hsu (2014), Signals and systems (3 ed), McGraw-Hill Education, ISBN: 0071829466,

• Steven T. Karris (2012), Signals and systems : with MATLAB computing and Simulink modeling (5 ed), Orchard Publications, ISBN: 9781934404249,

• Won Y. Yang et al. (2009), Signals and systems with MATLAB, Springer, ISBN: 9783540929543,

• Simon Haykin, Barry Van Veen (2003), Signals and systems (2 ed), Wiley, ISBN: 0471164747,

• Leslie Balmer (1997), Signals and systems: an introduction (2 ed), Prentice Hall, ISBN: 0134956729,

• Alan V. Oppenheim, Alan S. Willsky, with S. Hamad Nawab (1997), Signals and systems (2 ed), Prentice-Hall International, ISBN: 0136511759,

• M.L. Meade and C.R. Dillon (1991), Signals and systems (2 ed), Chapman & Hall, ISBN: 041240110X,

• Ziemer R. E., Tranter W. H., Fannin D. R. (1998), Signals and Systems: Continuous and Discrete (4 ed)",  Prentice-Hall

Proceedings of the IEEE; IEEE Spectrum; IEEE Potentials; IEEE Transactions on Education; IEEE Transactions on Circuits and Systems I: Regular Papers
IEEE Signal Processing Letters; IEEE Transactions on Signal Processing

• University Library website:
• Subject guides and research support:

Electronic Databases
• IEEE Xplore / IET Digital Library (IEL):
• Wiley Online Library:

Social Media Sources
• YouTube:

• Lynda: