Intelligent Measuring in Industry (3 cr)
Code: TT00BB68-3007
General information
- Enrollment
-
19.08.2024 - 22.09.2024
Registration for the implementation has ended.
- Timing
-
01.08.2024 - 31.12.2024
Implementation has ended.
- 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
Realization has 8 reservations. Total duration of reservations is 28 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Wed 30.10.2024 time 12:30 - 16:00 (3 h 30 min) |
Teollisuuden älykkäät mittaukset TT00BB68-3007 |
TA11L145 fys
TA11L145 fys
|
|
Wed 06.11.2024 time 12:30 - 16:00 (3 h 30 min) |
Teollisuuden älykkäät mittaukset TT00BB68-3007 |
TA11L145 fys
TA11L145 fys
|
|
Wed 13.11.2024 time 12:30 - 16:00 (3 h 30 min) |
Teollisuuden älykkäät mittaukset TT00BB68-3007 |
TA11L145 fys
TA11L145 fys
|
|
Wed 20.11.2024 time 12:30 - 16:00 (3 h 30 min) |
Teollisuuden älykkäät mittaukset TT00BB68-3007 |
TA11L145 fys
TA11L145 fys
|
|
Wed 27.11.2024 time 12:30 - 16:00 (3 h 30 min) |
Teollisuuden älykkäät mittaukset TT00BB68-3007 |
TA11L145 fys
TA11L145 fys
|
|
Wed 04.12.2024 time 12:30 - 16:00 (3 h 30 min) |
Teollisuuden älykkäät mittaukset TT00BB68-3007 |
TA12L152 tiet.2
TA12L152 tiet.2
|
|
Wed 11.12.2024 time 12:30 - 16:00 (3 h 30 min) |
Teollisuuden älykkäät mittaukset TT00BB68-3007 |
TA12L152 tiet.2
TA12L152 tiet.2
|
|
Mon 16.12.2024 time 12:30 - 16:00 (3 h 30 min) |
Teollisuuden älykkäät mittaukset TT00BB68-3007 |
TA11L145 fys
TA11L145 fys
|
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