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Intelligent Measuring in IndustryLaajuus (3 cr)

Code: TT00BB68

Credits

3 op

Teaching language

  • Finnish

Objective

Having successfully completed the course, the students will know the most important industrial measurement applications based on intelligent sensors and methods as well as the technologies developed to support such applications and the basic concepts and technologies associated with intelligent manufacturing environments.

Content

MEMS technology in sensor applications
Nanotechnology in sensor applications
Condition monitoring and fault diagnosis of smart machinery and devices
The intelligent factory
IoT technology

Assessment criteria, excellent (5)

The students are able to:
- seek information and apply it independently in practice
- The students have excellent competence regarding the subject of the course
- The students have completed all the learning assignments on time

Assessment criteria, good (3)

The students are able to:
- seek information independently and apply it under supervision
- The students have a good level of competence regarding the subject of the course
- The students have completed at least half of the given learning assignments on time

Assessment criteria, satisfactory (1)

The students are able to:
- seek information and apply it under supervision
- The students have a basic level of competence regarding the subject of the course
- The students have completed at least one third of the given learning assignments on time

Further information

2 RDI credits

en
Enrollment

02.07.2025 - 31.07.2025

Timing

01.08.2025 - 31.12.2025

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Teknologia

Teaching languages
  • Finnish
Degree programmes
  • Bachelor’s Degree in Information and Communication Technology
Teachers
  • Mika Keränen
Groups
  • TTV22SA
    TTV22SA

Objective

Having successfully completed the course, the students will know the most important industrial measurement applications based on intelligent sensors and methods as well as the technologies developed to support such applications and the basic concepts and technologies associated with intelligent manufacturing environments.

Content

MEMS technology in sensor applications
Nanotechnology in sensor applications
Condition monitoring and fault diagnosis of smart machinery and devices
The intelligent factory
IoT technology

Evaluation scale

0 - 5

Assessment criteria, excellent (5)

The students are able to:
- seek information and apply it independently in practice
- The students have excellent competence regarding the subject of the course
- The students have completed all the learning assignments on time

Assessment criteria, good (3)

The students are able to:
- seek information independently and apply it under supervision
- The students have a good level of competence regarding the subject of the course
- The students have completed at least half of the given learning assignments on time

Assessment criteria, satisfactory (1)

The students are able to:
- seek information and apply it under supervision
- The students have a basic level of competence regarding the subject of the course
- The students have completed at least one third of the given learning assignments on time

Further information

2 RDI credits

en
Enrollment

19.08.2024 - 22.09.2024

Timing

01.08.2024 - 31.12.2024

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Teknologia

Teaching languages
  • Finnish
Degree programmes
  • Bachelor’s Degree in Information and Communication Technology
Teachers
  • Mika Keränen
Groups
  • TTV21SA
    TTV21SA

Objective

Having successfully completed the course, the students will know the most important industrial measurement applications based on intelligent sensors and methods as well as the technologies developed to support such applications and the basic concepts and technologies associated with intelligent manufacturing environments.

Content

MEMS technology in sensor applications
Nanotechnology in sensor applications
Condition monitoring and fault diagnosis of smart machinery and devices
The intelligent factory
IoT technology

Evaluation scale

0 - 5

Assessment criteria, excellent (5)

The students are able to:
- seek information and apply it independently in practice
- The students have excellent competence regarding the subject of the course
- The students have completed all the learning assignments on time

Assessment criteria, good (3)

The students are able to:
- seek information independently and apply it under supervision
- The students have a good level of competence regarding the subject of the course
- The students have completed at least half of the given learning assignments on time

Assessment criteria, satisfactory (1)

The students are able to:
- seek information and apply it under supervision
- The students have a basic level of competence regarding the subject of the course
- The students have completed at least one third of the given learning assignments on time

Further information

2 RDI credits

en
Enrollment

01.08.2023 - 30.09.2023

Timing

01.08.2023 - 31.12.2023

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Teknologia

Teaching languages
  • Finnish
Degree programmes
  • Bachelor’s Degree in Information and Communication Technology
Teachers
  • Asko Kinnunen
Groups
  • TTV20SA
    TTV20SA

Objective

Having successfully completed the course, the students will know the most important industrial measurement applications based on intelligent sensors and methods as well as the technologies developed to support such applications and the basic concepts and technologies associated with intelligent manufacturing environments.

Content

MEMS technology in sensor applications
Nanotechnology in sensor applications
Condition monitoring and fault diagnosis of smart machinery and devices
The intelligent factory
IoT technology

Evaluation scale

0 - 5

Assessment criteria, excellent (5)

The students are able to:
- seek information and apply it independently in practice
- The students have excellent competence regarding the subject of the course
- The students have completed all the learning assignments on time

Assessment criteria, good (3)

The students are able to:
- seek information independently and apply it under supervision
- The students have a good level of competence regarding the subject of the course
- The students have completed at least half of the given learning assignments on time

Assessment criteria, satisfactory (1)

The students are able to:
- seek information and apply it under supervision
- The students have a basic level of competence regarding the subject of the course
- The students have completed at least one third of the given learning assignments on time

Further information

2 RDI credits

en
Enrollment

01.08.2022 - 30.09.2022

Timing

01.08.2022 - 31.12.2022

Number of ECTS credits allocated

3 op

Mode of delivery

Contact teaching

Unit

Teknologia

Teaching languages
  • Finnish
Degree programmes
  • Bachelor’s Degree in Information and Communication Technology
Teachers
  • Asko Kinnunen
Groups
  • TTV19SA
    TTV19SA

Objective

Having successfully completed the course, the students will know the most important industrial measurement applications based on intelligent sensors and methods as well as the technologies developed to support such applications and the basic concepts and technologies associated with intelligent manufacturing environments.

Content

MEMS technology in sensor applications
Nanotechnology in sensor applications
Condition monitoring and fault diagnosis of smart machinery and devices
The intelligent factory
IoT technology

Evaluation scale

0 - 5

Assessment criteria, excellent (5)

The students are able to:
- seek information and apply it independently in practice
- The students have excellent competence regarding the subject of the course
- The students have completed all the learning assignments on time

Assessment criteria, good (3)

The students are able to:
- seek information independently and apply it under supervision
- The students have a good level of competence regarding the subject of the course
- The students have completed at least half of the given learning assignments on time

Assessment criteria, satisfactory (1)

The students are able to:
- seek information and apply it under supervision
- The students have a basic level of competence regarding the subject of the course
- The students have completed at least one third of the given learning assignments on time

Further information

2 RDI credits