MEng Mechanical Engineering with Management

Year of entry: 2024

Course unit details:
Data Acquisition & Experimental Methods

Course unit fact file
Unit code MECH21342
Credit rating 10
Unit level Level 2
Teaching period(s) Semester 2
Available as a free choice unit? No


The course has two distinct elements; the theory of data acquisition and its experimental application. This unit will be delivered through a combination of ‘hands on’ sessions with individual activities, lectures, resource based learning exercises and a collaborative project.


This unit aims to develop students understanding of theoretical concepts and practical implementation of data acquisition and equip them with the fundamental experimental skills required in mechanical and aerospace disciplines to conceive, design, implement and operate systems in engineering applications.


Basic concepts of measurement: The experimental method, experimental errors, accuracy, precision, calibration, bias, random error, measurement error, sensitivity, range, resolution, offset, linearity, hysteresis, response time, and noise.

Sensors: Categorisation of sensors, choosing a sensor, specific types of sensor.

Data acquisition systems: Hardware, analogue to digital conversion and vice versa. Overview of the input/output process, general purpose input/output hardware and application software.

Signal conditioning: Sensors and transducers, amplification, attenuation, isolation, linearisation, filtering, multiplexing, digital signal conditioning.

Design of data acquisition systems: Modularity, sequential programming, state programming, state transition diagrams, and state machines.

Assessment methods

Method Weight
Written exam 50%
Report 50%

Feedback methods

Exam - Solutions to examination and examination released the same day

Practical demonstration - Race performance mark given at end of lab. Feedback on group project given within 2 weeks.


Study hours

Scheduled activity hours
Lectures 10
Practical classes & workshops 10
Tutorials 10
Independent study hours
Independent study 70

Teaching staff

Staff member Role
Weiguang Wang Unit coordinator

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