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Intelligent Measuring in Industry (3 cr)

Code: TT00BB68-3008

General information


Enrollment
02.07.2025 - 31.07.2025
Registration for introductions has not started yet.
Timing
01.08.2025 - 31.12.2025
The implementation has not yet started.
Number of ECTS credits allocated
3 cr
Local portion
3 cr
Mode of delivery
Contact learning
Unit
Teknologia
Teaching languages
Finnish
Degree programmes
Bachelor’s Degree in Information and Communication Technology
Teachers
Mika Keränen
Groups
TTV22SA
TTV22SA
Course
TT00BB68

Realization has 8 reservations. Total duration of reservations is 26 h 0 min.

Time Topic Location
Tue 26.08.2025 time 12:45 - 16:00
(3 h 15 min)
Teollisuuden älykkäät mittaukset TT00BB68-3008
TA12L152 tiet.2 TA12L152 tiet.2
Mon 01.09.2025 time 12:45 - 16:00
(3 h 15 min)
Teollisuuden älykkäät mittaukset TT00BB68-3008
TA12L152 tiet.2 TA12L152 tiet.2
Mon 08.09.2025 time 12:45 - 16:00
(3 h 15 min)
Teollisuuden älykkäät mittaukset TT00BB68-3008
TA12L152 tiet.2 TA12L152 tiet.2
Mon 15.09.2025 time 12:45 - 16:00
(3 h 15 min)
Teollisuuden älykkäät mittaukset TT00BB68-3008
TA12L152 tiet.2 TA12L152 tiet.2
Mon 22.09.2025 time 12:45 - 16:00
(3 h 15 min)
Teollisuuden älykkäät mittaukset TT00BB68-3008
TA12L152 tiet.2 TA12L152 tiet.2
Mon 29.09.2025 time 12:45 - 16:00
(3 h 15 min)
Teollisuuden älykkäät mittaukset TT00BB68-3008
TA12L152 tiet.2 TA12L152 tiet.2
Mon 06.10.2025 time 12:45 - 16:00
(3 h 15 min)
Teollisuuden älykkäät mittaukset TT00BB68-3008
TA12L152 tiet.2 TA12L152 tiet.2
Mon 20.10.2025 time 12:45 - 16:00
(3 h 15 min)
Teollisuuden älykkäät mittaukset TT00BB68-3008
TA12L152 tiet.2 TA12L152 tiet.2
Changes to reservations may be possible.

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

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

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