Signal Processing and Control Systems - EENG5113

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Module delivery information

Location Term Level1 Credits (ECTS)2 Current Convenor3 2026 to 2027
Canterbury
Summer Term 5 20 (10) Xinggang Yan checkmark-circle

Overview

Signal processing as well as control systems are vital to ensure stable, safe and optimal operation of many modern devices and systems such as drones, robots and other automated platforms. This module will provide you the underpinning concepts, knowledge and methodologies in signal processing and control theory to apply to systems from your engineering disciplines. The control systems part will include both continuous and discrete time systems. The signal processing part is focused on signals, sampling , filters, etc. and will cover both analog and digital systems. Lecture materials, hands-on experiments, computer simulations and case studies are carefully designed to strengthen your learning experience.
After successfully completing this module, you will obtain fundamental and essential knowledge in signal processing and system control required for advanced engineering learning and future professional practice in related fields.

Details

Contact hours

Lecture 26  , PC Workshop 12, PC Lab 5, Revision Class 2

Method of assessment

2 x mini practicals with report for Signal Processing worth 20%.
2 x mini practicals with report for Control worth 20%.
2-hours Examination worth 60%.

Reassessment Method: Like-for-Like

Indicative reading

Learning outcomes

On successfully completing the module, students will be able to: 
Demonstrate a deep and critical understanding of the underpinning concepts and principles of signal processing.
Apply and verify signal processing theory using simulation and testing techniques.
Demonstrate a deep and analytical understanding of key control concepts and methods with application to continuous time systems and digital systems.
Design feedback control systems and analyse their stability and performance.
Show a comprehensive and critical understanding of the methods and techniques of signal processing and control applied to real-life engineering systems.

Notes

  1. Credit level 5. Intermediate level module usually taken in Stage 2 of an undergraduate degree.
  2. ECTS credits are recognised throughout the EU and allow you to transfer credit easily from one university to another.
  3. The named convenor is the convenor for the current academic session.
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