Measurement Technologies (5 cr)

Objective

After completion of the course, the student
• understands the fundamental principles behind various sensor technologies used in measurement systems, including analog and digital sensors
• is familiar with the key characteristics of sensors, such as sensitivity, accuracy, precision, and response time
• can analyse the specifications and characteristics of sensors, including calibration, linearity, and hysteresis, to assess their suitability for specific measurement tasks and to apply statistical methods to evaluate and improve the reliability and accuracy of measurements obtained from sensors
• is able to collect, process, and interpret measurement data using appropriate software and hardware tools
• is familiar with statistical techniques to design and implement measurement systems using appropriate measurement instrumentation considering hardware selection, sensor integration, and data acquisition.

Content

• Introduction to sensor technologies
• Characteristics of sensors and measurement
• Analysis of measurement data
• Development and programming of measurement systems
• Introduction to measurement instruments

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

The student
• has achieved the objectives of the course to a satisfactory level
• is able to identify, define and use concepts and models in the subject area of the course
• understands the conditions and principles of the development of expertise
• has completed the learning tasks required for the course to the minimum standard
• has developed their competences in such a way that they will be able to complete their future professional studies and eventually work in the field.

Assessment criteria, good (3)

The student
• has achieved the objectives of the course well, although there are still areas where knowledge and skills need to be improved
• has completed the learning tasks of the course at a satisfactory or good level
• has a good understanding of the concepts and models of the subject matter of the course and is able to carry out a reasoned analysis
• is able to apply what they have learned in learning and working situations
• understands the importance of expertise in the field and is able to analyse their own expertise.

Assessment criteria, excellent (5)

The student
• has achieved the objectives of the course with excellent marks
• has completed the learning tasks of the course at a good or excellent level
• has an excellent command of the concepts and models of the subject matter of the course
• is able to analyse clearly and reasonably and propose practical development measures
• has a good ability to apply what they have learned in learning and working situations
• is able to analyse their expertise in their field and their own development towards expertise.

Qualifications

Electronics 2 or equivalent knowledge

Objective

After completion of the course, the student
• understands the fundamental principles behind various sensor technologies used in measurement systems, including analog and digital sensors
• is familiar with the key characteristics of sensors, such as sensitivity, accuracy, precision, and response time
• can analyse the specifications and characteristics of sensors, including calibration, linearity, and hysteresis, to assess their suitability for specific measurement tasks and to apply statistical methods to evaluate and improve the reliability and accuracy of measurements obtained from sensors
• is able to collect, process, and interpret measurement data using appropriate software and hardware tools
• is familiar with statistical techniques to design and implement measurement systems using appropriate measurement instrumentation considering hardware selection, sensor integration, and data acquisition.

Content

• Introduction to sensor technologies
• Characteristics of sensors and measurement
• Analysis of measurement data
• Development and programming of measurement systems
• Introduction to measurement instruments

Qualifications

Electronics 2 or equivalent knowledge