Course content

• Introduction to measurement systems: SI-units, concepts, definitions, static and dynamic properties, structure, mathematical modeling, calibration and reference characteristics.
• Statistics: mean, standard deviation and uncertainty and regression analysis.
• Signal conversion in measuring systems: qualification of measuring principles, 2-, 3, - and 4-wire measurement systems, measuring bridges (DC and AC), measuring with several wires, smart transmitters, amplifier circuits with opamps and instrumentation amplifier.
• Measurement principles for pressure, level, flow, temperature, displacement and acceleration.
• Hazardous areas (Ex-areas).
• Piping and instrumentation diagram (P&ID).

Learning outcome

Knowledge: The candidate can explain

• The most common terms and definitions used in measurement systems.
• The structure and properties of typical measurement systems.
• The most common principles for statistical analysis of measurement data.
• The most common principles for signal conversion in measurement systems.
• The most common principles for measuring pressure, level, flow, temperature, displacement and acceleration.
• Advantages, disadvantages and limitations of the various measurement principles.
• EX-areas and EX-certification of instruments.

Skills: The candidate can

• Modeling and calibrate measurement systems.
• Analyze measurement data with statistical methods.
• Design and analyze electronic circuits for signal conversion in measurement systems.
• Assess which measurement principles are relevant for a given situation.
• Make simple EX-calculations.
• Read and understand P&ID.

Digitization: The course helps the candidate learn about digital management and communication, digital user interface, and the use of modern development tools.

Learning methods and activities

Lectures, team-work, home-exercises, lab-exercises, self-study.

Compulsory assignments

• Oblig

Specific conditions

Recommended previous knowledge

Basic mathematics, statistics, physics and electronics at university level.

Required previous knowledge

Concerning applications for credentials, approval and incorporating of courses from previous semesters or other institutions' corresponding education programs, each application will be processed individually and the applicant should expect credit reductions for overlapping courses.

Course materials

Lecture notes, exercises with solutions, lab-exercises. Textbooks specified at the start of the semester.

Credit reductions