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Sensor technology (3cr)

Code: KL25AB90000-3016

General information


Enrollment
07.02.2022 - 17.04.2022
Registration for the implementation has ended.
Timing
07.03.2022 - 29.05.2022
Implementation has ended.
Number of ECTS credits allocated
3 cr
Local portion
3 cr
Mode of delivery
Contact learning
Campus
SeAMK Seinäjoki, Frami
Teaching languages
Finnish
Degree programmes
Bachelor of Engineering, Automation Engineering
Teachers
Matti Perälä
Course
KL25AB90000

Evaluation scale

1-5

Objective

Students will learn about the basic sensors used in machine automation. They will understand how sensors work, their electrical and mechanical properties and performance characteristics. They will be competent in selecting appropriate sensors for solving problems with detection and measuring. They will be able to make electrical connections for sensors and connect them to control units and fieldbuses.

Content

- Basics in sensor technology
- Protection classes
- On-off sensors
- Sensors that detect presence
- Sensors that measure magnitudes
- Detection techniques
- Measuring movement
- Computer vision
- Connecting sensors and practice making measurements in the lab

Materials

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

Teaching methods

Lectures, exercises and laboratory work.

Student workload

A total of 80 hours. Of the Rules of Procedure of the left teaching 20 hours which also includes laboratory exercises and self-study including reporting of laboratory assignments for 60 hours.

Assessment criteria, satisfactory (1)

The student knows and commands the basic operation of sensors and the concepts - in the one to be been satisfied with numbers. He is able to solve faults in the basic sensors and is able to replace with the similar sensor of the one which had been damaged.

Assessment criteria, good (3)

The student knows well the basic concepts which are related to the sensors and their operating principles. He is able to adapt his knowledge in the solving of problems of different types and either in place of the one which had been damaged or to a new target the sensor which is suitable for choosing. .

Assessment criteria, excellent (5)

The student knows the concepts and operating principles of different sensors well. In addition to the basic sensors, he is able to choose special sensors also to different applications and environments.

Qualifications

No previous studies are required.

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