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Intelligent Measuring in Industry (3 cr)

Code: TT00BB68-3006

General information


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
  • 01.09.2023 09:00 - 11:45, Teollisuuden älykkäät mittaukset TT00BB68-3006
  • 08.09.2023 09:00 - 11:45, Teollisuuden älykkäät mittaukset TT00BB68-3006
  • 15.09.2023 09:00 - 11:45, Teollisuuden älykkäät mittaukset TT00BB68-3006
  • 22.09.2023 09:00 - 11:45, Teollisuuden älykkäät mittaukset TT00BB68-3006
  • 29.09.2023 09:00 - 11:45, Teollisuuden älykkäät mittaukset TT00BB68-3006
  • 06.10.2023 09:00 - 11:45, Teollisuuden älykkäät mittaukset TT00BB68-3006
  • 13.10.2023 09:00 - 11:45, Teollisuuden älykkäät mittaukset TT00BB68-3006
  • 27.10.2023 09:00 - 11:45, Teollisuuden älykkäät mittaukset TT00BB68-3006
  • 30.10.2023 09:00 - 11:45, Teollisuuden älykkäät mittaukset TT00BB68-3006
  • 10.11.2023 09:00 - 11:45, Teollisuuden älykkäät mittaukset TT00BB68-3006
  • 17.11.2023 09:00 - 11:45, Teollisuuden älykkäät mittaukset TT00BB68-3006
  • 24.11.2023 09:00 - 11:45, Teollisuuden älykkäät mittaukset TT00BB68-3006
  • 01.12.2023 09:00 - 11:45, Teollisuuden älykkäät mittaukset TT00BB68-3006
  • 07.12.2023 12:30 - 15:15, Teollisuuden älykkäät mittaukset TT00BB68-3006
  • 14.12.2023 12:30 - 15:15, Teollisuuden älykkäät mittaukset TT00BB68-3006

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

Arviointikriteerit, kiitettävä (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

Arviointikriteerit, tyydyttävä (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