This translation is for information purposes only. In the event of discrepancies, the Swedish-language version takes precedence.
Smart Sensing, 3 Credits
Smarta sensorer, 3 Högskolepoäng
Established: 2025-10-30
Established by: Department of Engineering Science
Applies from: V26
Learning outcomes
After completing the course, the student should be able to:
Knowledge and understanding
- explain the function and structure of sensors and their role in automated industrial systems.
- describe how sensors are integrated into industrial networks and control systems.
- understand principles of signal processing, data acquisition, and local intelligence in sensors for improved process control, condition monitoring, and predictive maintenance.
Competence and skills
- configure and implement smart sensors in an industrial automation system, considering requirements for real-time performance, robustness, and scalability.
Judgement and approach
- assess the suitability of different sensor types based on application requirements, including environmental conditions, accuracy, and cost.
Entry requirements
Degree of Bachelor of Science in computer engineering, electrical engineering, mechanical engineering or industrial engineering and management. Additionally, the Bachelor of Science degree must be comprised of a minimum of 5 HE credits in programming and 15 HE credits in mathematics. Verified knowledge of English corresponding to the course English 6 or English level 2 in the Swedish Upper Secondary School (high school) or equivalent.
Additionally required an approved result from the following course/courses: RBK600 Robot Certificate or the equivalent.
The forms of assessment of student performance
Laboratory work in groups with oral presentation. Individual written assignment.
Course contents
The course gives understanding of the role of sensor technology in modern industrial automation systems. It covers the function and design of various sensors, as well as how sensor types are integrated into industrial networks and control systems. The course also addresses how sensors contribute to improved process control, condition monitoring, and predictive maintenance through signal processing, data acquisition, and local intelligence. Furthermore, it offers insights into the suitability of different sensor types based on specific application requirements, such as environmental conditions, accuracy, and cost.
Other regulations
Course grading: Failed or Passed
Course language: The teaching is conducted in English.
General rules pertaining to examination at University West are available at www.hv.se.
If the student has a decision/recommendation on special support due to disability, the examiner has the right to examine the student in a customized examination form.
Cycle
Second cycle
Progressive specialization
A1F - Second cycle, has second-cycle course/s as entry requirements
Main field of study
Automation, Production Technology