Type of course

Admission requirements

Admission requirements are generell studiekompetanse + SIVING.

Local admission, application code 9391 - singular courses in engineering sciences.

Course content

Recommended prerequisites

Objectives of the course

Knowledge - The student can:

• understand typical components in measurement systems
• identify sensor elements and physical principles for these
• understand different types of errors and uncertainties in measurements
• describe how analytical models can be fitted to experimental data

Skills - The student can:

• derive electrical circuits used in measurement systems
• simulate systems using LTSpice and Python.
• derive and solve linear models for static and dynamic responses
• design computer programs to control instruments

General expertise - The student can:

• understanding the physical principles behind sensors and measurement systems
• understand technological applications of measurement systems and the implementation of these
• perform experiments involving both basic and advanced lab equipment
• estimate errors and confidence intervals for measured data

Language of instruction and examination

Teaching methods

Lectures: 30 hours

Exercises: 24 hours

Information to incoming exchange students

This course is open to incoming exchange students.

Study Level: Bachelor's

Some courses offered to exchange students have specific prerequisites. You can find these listed under the “Admission requirements” section. Please read this information carefully before selecting your courses.

For details on how to apply for exchange, course selection guidelines, or to contact the Incoming Admissions Team, please visit: Admissions for Student Exchange.