Catalogue of Modules, University of Nottingham

H64INL Instrumentation and Measurement
(Last Updated:03 May 2017)

Year  17/18

Total Credits: 10

Level: Level 4

Target Students:  Final Year students registered for the MEng and MSc course in the Department of Electrical and Electronic Engineering.

Taught Semesters:

Autumn Assessed by end of Autumn Semester 

Prerequisites: Familiarity with linear DEs and Fourier and Laplace transforms.

Corequisites:  None.

Summary of Content:  

This module is an introduction to the principles and practice of instrumentation and measurement systems in an engineering context. The module will cover the generally applicable basic principles and then look at specific classes of instrument and associated electronics and signal processing methods. Topics covered include:

  • Basic principles and instrument characteristics.
  • Measurement errors, basic statistics, noise and its control.
  • Dynamic characteristics of instruments, time and frequency domain responses.
  • System identification using correlation techniques.
  • Amplifiers, filters, ADCs and DACs.
  • Position, strain, pressure and motion sensors (resistive, capacitive, inductive, optical).
  • Flow sensors.
  • Electronic and optical measurement instrumentation.

    Method and Frequency of Class:

    ActivityNumber Of WeeksNumber of sessionsDuration of a session
    Lecture 10 weeks1 per week2 hours

    Activities may take place every teaching week of the Semester or only in specified weeks. It is usually specified above if an activity only takes place in some weeks of a Semester

    Further Activity Details:
    Two 1-hour lectures/examples per week. Breakdown of hours: lectures/examples classes - 22 hours; revision and assessment - 53 hours.

    Method of Assessment: 

    Assessment TypeWeightRequirements
    Exam 1 100 2 hour exam 

    Dr A Nothofer

    Education Aims:  

    The aim of this module is to develop a broad understanding of instrumentation techniques which are used in a wide range of engineering applications. Such understanding will include: the physics and mathematics of sensor action, measurement errors and their control, data conditioning and conversion hardware and relevant signal processing techniques. By the end of the module students should be able to understand the measurement requirements in specific engineering contexts and specify appropriate instrumentation.

    Learning Outcomes:  

  • Demonstrate an awareness of commercial instrumentation design process
  • Understand and use analytical techniques relevant to instrumentation design
  • Demonstrate understanding of selected measurement techniques used in engineering practice and of instrumentation operating principles
  • Offering School:  Department of Electrical & Electronic Engineering

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