Module IES-4002:
Advanced Sensor Systems

Module Facts

Run by School of Computer Science and Electronic Engineering

15 Credits or 7.5 ECTS Credits

Semester 1

Organiser: Dr Xianfeng Chen

Overall aims and purpose

This course aims to provide students with an understanding of more complex sensor systems and a view of current developments in specific areas of sensor development. Applications of these systems and their main producers and users are also discussed.

Course content

• Sensor principles – definitions, desired qualities, sensor system elements, null and deflection methods, input-output configurations, interfering and modifying inputs • Microsensor systems introduction. Silicon and fibre optic technologies, MEMS. Signal conditioning and signal processing methods. • Description of components, types and applications of thermal, mechanical, magnetic and chemical advanced sensor systems. • Smart sensors – desired qualities – examples and applications – a look to the future.

Learning outcomes mapped to assessment criteria

  threshold

50%

good

60%

excellent

70%

Understand the operation and measurement principles of advanced sensors and systems

Can describe essential aspects and measurement principles of advanced sensor systems. Has a detailed understanding of the principles underlying sensor performance and measurement systems. Has a thorough understanding of the principles underlying sensor performance and measurement systems.

Know the operating principles and design of a range of silicon microsensor systems and fibre optic sensor systems, and appreciate the technologies used to produce them.

Has an overall knowledge of a range of microsensor systems and fibre optic sensor systems and their applications Has a comprehensive knowledge of the design, operating principles and applications of a range of microsensor systems and fibre optic sensor systems. Can show extensive knowledge and understanding of the underlying principles which determine the operation of a range of microsensor systems and fibre optic sensor systems.

Have a detailed knowledge and understanding of desired qualities of smart sensor systems

Can list the requirements of smart sensor systems. Can describe in detail examples of desired qualities and how these are fulfilled in real smart sensor systems. Understands the underlying principles of smart sensors and can discuss potential smart sensor systems.

Assessment Methods

Type Name Description Weight
Examination 70
Ass 1 - Oral Presentation 10
Ass 2 - Individual Essay 20

Teaching and Learning Strategy

Hours
Private study 126
Lecture

Lectures, revision exercises and tutorials.

24

Transferable skills

  • Exploring - Able to investigate, research and consider alternatives
  • Critical analysis & Problem Solving - Able to deconstruct and analyse problems or complex situations. To find solutions to problems through analyses and exploration of all possibilities using appropriate methods, rescources and creativity.
  • Presentation - Able to clearly present information and explanations to an audience. Through the written or oral mode of communication accurately and concisely.
  • Teamwork - Able to constructively cooperate with others on a common task, and/or be part of a day-to-day working team

Subject specific skills

  • Identify emerging technologies and technology trends;
  • Apply an understanding and appreciation of continuous improvement techniques
  • Apply underpinning concepts and ideas of engineering;
  • Demonstrate an awareness of current advances and contemporary approaches in the discipline and have strategies for keeping that awareness current;

Pre- and Co-requisite Modules

Courses including this module