Instrumentation and Data Systems 3 ENG3034
- Academic Session: 2022-23
- School: School of Engineering
- Credits: 10
- Level: Level 3 (SCQF level 9)
- Typically Offered: Semester 2
- Available to Visiting Students: Yes
This course provides an introduction to instrumentation and data systems for engineers covering error analysis, signal acquisition and processing.
2 lectures per week
85% Written Exam
5% Set Exercise
Main Assessment In: April/May
This course aims to introduce instrumentation systems and data systems commonly found within an engineering context.
Intended Learning Outcomes of Course
By the end of the course the students will be able to:
■ analyse systematic and random uncertainties which occur during measurement;
■ describe appropriate methods of reporting and using uncertainties;
■ explain how uncertainties are propagated and combine in calculations;
■ analyse instrumentation circuits and predict transient and frequency response;
■ explain the principles of common transducers e.g. position, temperature, pressure, stress/strain;
■ describe the most suitable instrumentation circuits for common transducers;
■ explain the design of operational amplifier signal conditioning circuits including the effects of non-ideal behaviour;
■ describe the operation of digital to analogue/analogue to digital converters and be able to identify the performance required from them for a given application.
Minimum Requirement for Award of Credits
Students must attend the degree examination and submit at least 75% by weight of the other components of the course's summative assessment.
Students must attend the timetabled laboratory classes.
Students should attend at least 75% of the timetabled classes of the course.
Note that these are minimum requirements: good students will achieve far higher participation/submission rates. Any student who misses an assessment or a significant number of classes because of illness or other good cause should report this by completing a MyCampus absence report.