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Curricular information is subject to change
On successful completion of this subject the student will be able to:
1. Appreciate the importance of measurement and instrumentation in engineering applications.
2. Distinguish between static and dynamic characteristics of instruments.
3. Calibrate an engineering instrument to industry standards and specify its bias and precision uncertainties.
4. Combine individual instrument uncertainties in multi-instrumented experiments.
5. Understand the engineering principles that underpin specific measurement instrumentation types.
6. Deploy data acquisition systems thereby automating the process of measurement.
7. Comprehend the importance of gathering structured and valid process data to perform a full factorial experimental design.
8. Apply data analytics techniques to process data and make statistical inferences.
Student Effort Type | Hours |
---|---|
Specified Learning Activities | 10 |
Autonomous Student Learning | 60 |
Lectures | 30 |
Practical | 10 |
Total | 110 |
A basic knowledge of (i) statistical methods and (ii) electrical concepts are neccessary.
Description | Timing | Component Scale | % of Final Grade | ||
---|---|---|---|---|---|
Exam (In-person): End of Trimester examination | n/a | Standard conversion grade scale 40% | No | 60 |
|
Quizzes/Short Exercises: In class test | n/a | Standard conversion grade scale 40% | No | 10 |
|
Practical Skills Assessment: Laboratory activities | n/a | Graded | No | 20 |
Resit In | Terminal Exam |
---|---|
Autumn | No |
• Group/class feedback, post-assessment
Not yet recorded.
Name | Role |
---|---|
Dr Pezhman Ghadimi | Lecturer / Co-Lecturer |
Mr Brian Mulkeen | Lecturer / Co-Lecturer |
Dr Javad Zeinali | Lecturer / Co-Lecturer |