NG1S233 - Measurement Systems 01 Apr 2025 - 31 Aug 2027 | Version 5
Associated Module Information
| Module Code: | NG1S233 | ||
|---|---|---|---|
| Module Title: | Measurement Systems | ||
| Faculty: | Faculty of Computing, Engineering and Science | ||
| Faculty Group: | Aerospace and Mechanical Engineering | ||
| Faculty Sub Group: | Aerospace and Mechanical Engineering | ||
| Module Leader: | Selim Tudgey | ||
| Module Team: | Christian Hall, David Dawkins, Howard Jones, James Neal, Liam Richards, Matthew Wilmington, Nathan Thomas, Paul Curnick, Alun Tomos, Carl Elliott, Alexis Dabee-Saltmarsh, Richard Cooper, Gareth Sheppard, Mark Pope, Seyedali Azimifar, David Dawkins | ||
| First Intended Intake: | SEP 2016 | Final Year of Intake: | |
| Date Closed: | |||
| Credit Value: | 20 | Credit Level: | 4 |
| Language: | English | ||
| Percentage of Module Taught in Welsh: | 0 | ||
| Equivalent Module: | |||
| HECOS codes: | 100190 - mechanical engineering | ||
| HECOS Code Weighting: | 100 | ||
Document Version Information
| Version | 5 |
|---|---|
| Valid From | 01 Apr 2025 |
| Valid To | 31 Aug 2027 |
Module Aims
Upon successful completion of the module, students will be able to:
Specify and select appropriate sensors for a range of engineering measurement applications
Specify and design fundamental signal processing circuitry to convert raw sensor output signals to appropriate engineering quantities
Propose suitable arrangements for post-processing, storage, and transmission of measurement data
Content Summary
Review of currently available sensors for the measurement of a range of engineering quantities
DC circuit analysis using a variety of methods, typically including: Ohm’s Law, mesh analysis, nodal analysis, superposition, Thevenin and Norton equivalent circuits.
Introduction to AC circuit analysis
Overview of sources, effects, and nature of measurement noise
Fundamental signal processing methods, including instrumentation amplifiers and methods of reducing measurement noise
Converting measurement data to digital format
Data storage and transmission
Measurement systems – case studies
Learning and Teaching Methods
| Activity Type | Hours |
|---|---|
| Lecture | 32 |
| Tutorial | 12 |
| Practical classes and workshops | 8 |
| Independent Study | 92 |
| Directed Study | 56 |
| Total Hours Selected | 200 |
Learning Outcomes
| # | Learning Outcome |
|---|---|
| LO1 | To be able to specify and select appropriate sensors for a range of engineering measurement applications and, subsequently, to apply suitable signal processing operations |
| LO2 | To be able to specify system requirements necessary to acquire and process measurements from a range of sensor types and, subsequently, to store the measurement data in digital form |
Module Requisites
N/A
Assessment Criteria
| Assessment Category | Assessment Type | Description | Duration | Word Count | Weight (%) | Best of? | Pass Mark |
|---|---|---|---|---|---|---|---|
| Synchronous Onsite Practical Assessment | Practical Coursework (Onsite) 1 | Signal processing & Management of measurement processes | 0 | 3000 | 50 | No | 40 |
| Synchronous Onsite Assessment (Exam) | Onsite Closed Book Examination 1 | srthssrh | 120 | N/A | 50 | No | 40 |
Assessment Matrix
| Assessment Type | Learning Outcomes | ||
|---|---|---|---|
| LO1 | LO2 | ||
| Practical Coursework (Onsite) 1 | ✔ | ✔ | |
| Onsite Closed Book Examination 1 | ✔ | ✔ | |