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Sensor technology (3 cr)

Code: KC00CC73-3003

General information


Enrollment

16.04.2022 - 07.09.2022

Timing

15.08.2022 - 16.10.2022

Credits

3 op

Teaching languages

  • Finnish

Degree programmes

  • Bachelor of Engineering, Mechanical Engineering

Teachers

  • Jyri Lehto
  • Jussi Mäkitalo

Student groups

  • MKONE19

Objective

Upon completion of the course, students will recognize basic sensors in automation systems and will explain how sensors work, their electrical, mechanical and performance properties. Students will be competent in selecting the right sensor to solve a problem in detection or measurement. Students will be able to design electrical connections of sensors and will be able to connect them to control devices. Furthermore, students will be able to connect a sensor to the field bus.

Content

- Basics in sensor and measurement
- Shield categories
- Bi-stable sensors
- Senors that detect presence
- Sensors that measure magnitude
- Detection systems
- Measuring movement
- Basics of computer vision
- Connecting sensors and measurement exercises in the laboratory

Materials

Lecturer's material, demonstrations during lectures, product and programming manuals.

Teaching methods

Lectures, exercises and laboratory work.

Student workload

Contact teaching 28 h. Self-learning and exercises about 50h.

Evaluation scale

1-5

Assessment criteria, satisfactory (1)

Satisfactory (1...2): The student knows and understands to a basic concepts and methods of sensor technology, and is able to choose right sensor type to defined system.

Assessment criteria, good (3)

Good (3...4): The student knows and understands to a basic concepts and methods of sensor technology, and is able to choose right sensor type to defined system. The student is able to combine the accumulated knowledge in basic laboratory exercises.

Assessment criteria, excellent (5)

Excellent (5): The student knows and understands to a basic concepts and methods of sensor technology, and is able to choose right sensor type to defined system. The student is able to combine the accumulated knowledge in basic and difficult laboratory exercises.

Assessment methods and criteria

Exam, exercises and laboratory assignment reports.

Qualifications

No previous studies are required.