MAS240 Project Course: Measurement and Control Theory (Spring 2027)
- ECTS Credits:
- 5
- Responsible department:
- Faculty of Engineering and Science
- Course Leader:
- Morten Ottestad
- Lecture Semester:
- Spring
- Teaching language:
- Norwegian/Scandinavian or English
- Duration:
- ½ year
Table of contents
The course is connected to the following study programs
- Mechatronics, Bachelor's Programme
Teaching language
Recommended previous knowledge
Learning outcomes
After completing the course, the student will be able to:
- Measurement technology and instrumentation – Utilize measurement techniques and instrumentation to collect, filter, and interpret sensor data
- Applied control engineering – Implement real-time control algorithms in practical control systems
- Modeling and simulation – Analyze and model dynamic systems and apply simulations for selecting control strategies
- Programming and real-time control – Develop software for microcontrollers and embedded systems
- System integration – Create functional systems by combining mechanical, electronic, and digital components
- Troubleshooting and system analysis – Identify and correct errors in both hardware and software through systematic troubleshooting
Contents
The course builds on knowledge from control engineering, mechatronics, and statistics, and provides a practical introduction to measurement techniques, instrumentation, control, actuation, and data processing. Students will work with both analog and digital signals, implement control algorithms, and develop real-time systems.
Projects are carried out using programmable control units and various technical systems, giving students hands-on experience in the development, configuration, and implementation of control solutions. A selection of sensors, actuators, and development boards is used, along with software for modeling, simulation, and analysis of system behavior.
Through the project work, mechanical and electronic systems are combined with real-time control, and students learn to develop, test, and improve control systems in practice.
Teaching and learning methods
Practical work in the laboratory and in the workshop. The course uses updated digital tools in connection with report writing, calculations, drawing and simulations.
Expected workload for the average student is 27 hours per credits.