Module Title:Signals and Systems 2
Language of Instruction:English
Credits: 5
NFQ Level:8
Module Delivered In 2 programme(s)
Teaching & Learning Strategies: Lectures and Laboratory Practicals using software simulation tools
Module Aim: To introduce the students to the mathematical methods and tools to analyse signals and systems in the time and frequency domains with application to engineering problems
Learning Outcomes
On successful completion of this module the learner should be able to:
LO1 Describe an engineering system in mathematical terms.
LO2 Analyse the system and predict its performance
LO3 Simulate the system using appropriate mathematical techniques
LO4 Analyse a system and predict its performance
LO5 Examine a system in terms of stability
Pre-requisite learning
Module Recommendations

This is prior learning (or a practical skill) that is recommended before enrolment in this module.

No recommendations listed
Incompatible Modules
These are modules which have learning outcomes that are too similar to the learning outcomes of this module.
No incompatible modules listed
Co-requisite Modules
No Co-requisite modules listed
This is prior learning (or a practical skill) that is mandatory before enrolment in this module is allowed.
No requirements listed

Module Content & Assessment

Indicative Content
Linear Time-Invariant Systems
Impulse Representation of Signals; Convolution; Properties of LTI Systems; Causality; Stability; Difference Equations- Block Diagrams
Fourier Analysis
Fourier series applied to Periodic Signals; The Fourier Transform; The Discrete Fourier Transform; Applications
The Laplace Transform
Pole-zero plots, Applications of the Laplace Transform; Region of convergence; The Inverse transform
The z-Transform
Region of convergence; The inverse z-Transform; Geometric evaluation of the z-Transform; Properties of the z-Transform; Transformations between continuous-time and discrete-time systems
Ideal filters; Non-ideal filters; Continuous-Time filter; Design techniques; Discrete-Time filter; Design techniques
Assessment Breakdown%
Continuous Assessment20.00%
End of Module Formal Examination60.00%
Continuous Assessment
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Short Answer Questions Class tests 1,3,4,5 20.00 n/a
No Project
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Practical/Skills Evaluation A program of experiments will be carried out based on material covered on the course.. Assignments will be given to the students on aspects of signal processing during the module. 1,3,4,5 20.00 n/a
End of Module Formal Examination
Assessment Type Assessment Description Outcome addressed % of total Assessment Date
Formal Exam Formal Exam at the end of the Semester 1,2,3,4,5 60.00 End-of-Semester

SETU Carlow Campus reserves the right to alter the nature and timings of assessment


Module Workload

Workload: Full Time
Workload Type Frequency Average Weekly Learner Workload
Lecture Every Week 3.00
Laboratory Every Week 2.00
Independent Learning Time Every Week 2.00
Total Hours 7.00

Module Delivered In

Programme Code Programme Semester Delivery
CW_EEBEE_B Bachelor of Engineering (Honours) in Biomedical Electronics 8 Mandatory
CW_EESYS_B Bachelor of Engineering (Honours) in Electronic Engineering 8 Mandatory