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FEK3230 Electrical Measurement Technology for PhD Students 8.0 credits

Administer About course

Information per course offering

Course offerings are missing for current or upcoming semesters.

Content and learning outcomes

Course contents

No information inserted

Intended learning outcomes

No information inserted

Literature and preparations

Specific prerequisites

No information inserted

Recommended prerequisites

Basic Electrical circuit theory, including calculations for AC circuits. Basic Electronics. Preferably also a basic measurement technology course.

Literature

You can find information about course literature either in the course memo for the course offering or in the course room in Canvas.

Examination and completion

Grading scale

P, F

Examination

No information inserted

Examiner

Profile picture Kristinn Gylfason

Further information

Course room in Canvas

Registered students find further information about the implementation of the course in the course room in Canvas. A link to the course room can be found under the tab Studies in the Personal menu at the start of the course.

Offered by

EECS/Micro and Nano Systems

Education cycle

Third cycle

Supplementary information

Learning outcomes:

After the course, the student should be able to

  • describe the basics of electrical safety: hazards and safety measures,
  • describe the basic concepts of measurement technology and metrology, especially how measurement units are defined and how tractability is achieved,
  • understand, model and minimize common types of electrical noise and disturbances in a measurement setup,
  • draw a block diagram for a multimeter and describe how it handles other quantities than DC voltage and how this influences the performance,
  • draw a block diagram for the oscilloscope and describe the effects of bandwidth, sampling frequency, input impedance and uncertainty in the instrument,
  • understand and use all working modes of a standard lab oscilloscope,
  • describe how several different types of AD-converters work and how this influences their performance,
  • describe the basic principles for spectrum analyzers and how the features of the analyzed signal show up in the time domain frequency domain results,
  • describe the basics of modern sensor technology and how sensors based on resistivity piezoelectricity, capacitance and inductance are used,
  • select and use appropriate sensor for a given measurement tasks,
  • design computerized measurement systems using AD-cards and bus systems,
  • be able to compute the standard uncertainty and confidence interval for a combined quantity based on uncertainty information of different kinds for the quantities that contribute to the combined quantity,
  • apply the above knowledge and abilities in problem solving and measurement technology development projects.

Course main content:

The course consists of self studies of the course literature (cf. below) and a supervised development project.

Course disposition:

Multimeters, oscilloscopes, AD-conversion, instrument control, LabView, EMC, sensors, frequency domain measurements, project work.

Requirements for final grade

Pass oral examination. Development project demonstrated.

Course literature:

Course literature for EK1191 but with a more full content coverage. 

  • Course compendiums for the course – lab theory booklets (in Swedish)

Required equipment:

–

Postgraduate course

Postgraduate courses at EECS/Micro and Nano Systems