Course syllabus - Electrical Measurement Systems

Objectives

The purpose of the course is to provide knowledge to analyse measurement problems, and design and evaluate measurement systems. The measurement uncertainty analysis is central. The course also provides knowledge on how to transfer measured quantities of physical quantities to a computer. The course also provides knowledge of the physics behind measurements of certain quantities. 

Learning outcomes

After completing the course, the student shall be able to:   

1. orally and in writing argue for the choice of measurement system when measuring different physical quantities, 
2. show good understanding of the limitations that apply to different measurement systems,  
3. demonstrate practical understanding of the various errors that are introduced when measuring physical parameters and when calibrating measurement systems, 
4. understand how to store measurement data and be able to practically apply basic statistics for analysis of measurement series, 
5. understand and perform data acquisition all the way from the sensor-signal to the processing unit and 
6. apply and explain basic signal processing methods and filters to analyze frequency content in a signal.  

Course content

- Calibration necessity. 
- Calibration of measuring sensors and instruments. 
- Principles of data acquisition and signal processing.
- Measurement system types and performance characteristics. 
- Computer measuring systems and Intelligent sensors. 
- Measurement databases. 
- Electromagnetic measurements. 
- Sensor Technologies.  
- Computer and robotic vision. 
- Bioelectrical measurements. 

Specific requirements

Programming 7,5 credits, Basics in Electronics 7,5 credits, Single Variable Calculus 7,5 credits, Measurement Technique 7,5 credits (of which completed 2,5 credits) and Electronic Systems 7,5 credits (of which completed 4,5 credits).

Examination

Laboratory work (LAB1), 5 credits, examines the learning outcomes 1-6, marks Fail (U) or Pass (G).  
Written examination (TEN1), 2,5 credits, examines the learning outcomes 2, 5 and 6, marks Fail (U), 3, 4 or 5.  

A student who has a certificate from MDU regarding a disability has the opportunity to submit a request for supportive measures during written examinations or other forms of examination, in accordance with the Rules and Regulations for Examinations at First-cycle and Second-cycle Level at Mälardalen University (2020/1655). It is the examiner who takes decisions on any supportive measures, based on what kind of certificate is issued, and in that case which measures are to be applied.

Suspicions of attempting to deceive in examinations (cheating) are reported to the Vice-Chancellor, in accordance with the Higher Education Ordinance, and are examined by the University’s Disciplinary Board. If the Disciplinary Board considers the student to be guilty of a disciplinary offence, the Board will take a decision on disciplinary action, which will be a warning or suspension.

Grade

Pass with distinction, Pass with credit, Pass, Fail

Interim Regulations and Other Regulations

The course can be included in the technology field for dependable systems.