Objectives and Content
The course aims to provide in-depth knowledge in measurement technology, instrumentation and control systems as basis to adopt appurtenant relevant methods and techniques in research and development.
The course covers topics such as the general measurement system, calculation of measurement uncertainty, description of dynamic systems in time and frequency domain, as well as a characterization of these. Furthermore, the course covers signal and noise in measurement systems, characteristics of commonly used sensor elements, feedback systems and typical characteristics for commonly used flow instrumentation.
On completion of the course
the student should have the following learning outcomes defined in terms of knowledge, skills and general competence:
The student has
- thorough knowledge of the elements of the general measurement system and calculation of measurement uncertainty.
- thorough knowledge on representation of dynamic systems in time and frequency domain, and the use of feedback control system techniques and PID controllers.
- advanced knowledge of standard flow instrumentation.
The student can
- use standard techniques to calculate combined measurement uncertainty in a system of measuring elements
- describe dynamic systems in time and frequency domain and analyze these.
- use a set of selected signal processing techniques, such as autocorrelation and cross correlation
The student can
- analyze relevant measurement systems
Required Previous Knowledge
Minimum 60 ECTS in physics.
Forms of Assessment
The forms of assessment are:
- Midterm exam (multiple choice) count for 30% of the total grade
- Oral exam (30 minutes) count for 70% of the total grade.
In semesters when the course is not lectured, the final oral exam (45 minutes) counts for 100% of the final grade.
The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.
Type of assessment: Oral examintion and midterm examination
- Withdrawal deadline