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Sensor TechnologyLaajuus (3 cr)

Code: AE00CM51

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

Qualifications

No previous studies are required.

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.

Enrollment

22.04.2024 - 04.09.2024

Timing

26.08.2024 - 13.10.2024

Credits

3 op

Teaching languages
  • English
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Sami Rinta-Valkama
Student groups
  • AE23
    Bachelor of Engineering, Automation Engineering

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

Lecture material, demonstrations during lectures, assignments, product and programming manuals

Teaching methods

Contact teaching. Lectures, demonstrations, exercises, seminar work and group work in the lab.

Student workload

Total work load 81 h. 28 h of classroom training which includes lab exercises. 53 h of self-study.

Evaluation scale

1-5

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.

Assessment methods and criteria

Exercises, lab work+reports, seminar and an exam.

Assessment criteria, good (3)

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, excellent (5)

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, approved/failed

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.

Enrollment

17.04.2023 - 06.09.2023

Timing

28.08.2023 - 15.10.2023

Credits

3 op

Teaching languages
  • English
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Sami Rinta-Valkama
Student groups
  • AE22
    Bachelor of Engineering, Automation Engineering

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

Lecture material, demonstrations during lectures, assignments, product and programming manuals

Teaching methods

Contact teaching. Lectures, demonstrations, exercises, seminar work and group work in the lab.

Student workload

Total work load 81 h. 26 h of classroom training which includes lab exercises. 55 h of self-study.

Evaluation scale

1-5

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.

Assessment methods and criteria

Exercises, lab work+reports, seminar and an exam.

Qualifications

No previous studies are required.

Enrollment

16.04.2022 - 12.10.2022

Timing

24.10.2022 - 18.12.2022

Credits

3 op

Teaching languages
  • English
Degree programmes
  • Bachelor of Engineering, Automation Engineering
Teachers
  • Matti Panula
Student groups
  • AE21
    Bachelor of Engineering, Automation Engineering

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

Lecture material, demonstrations during lectures, assignments, product and programming manuals

Teaching methods

Lectures, demonstrations, exercises, seminar work and group work in the lab

Student workload

A total of 60 h. 32 h of classroom training which includes lab exercises. 28 h of self-study.

Evaluation scale

1-5

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.

Assessment methods and criteria

Exercises, lab work and written exams.

Assessment criteria, good (3)

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, excellent (5)

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, approved/failed

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.