Intelligent Industrial Solutions (5 cr)
Code: TX00DP07-3006
General information
- Enrollment
-
01.05.2023 - 10.09.2023
Registration for the implementation has ended.
- Timing
-
04.09.2023 - 30.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Smart and Clean Solutions
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- English
- Seats
- 0 - 40
- Degree programmes
- Master's Degree Programme in Intelligent Industrial Solutions
- Teachers
- Erkki Räsänen
- Teacher in charge
- Erkki Räsänen
- Groups
-
T2123K6Älykkään teollisuuden tutkinto-ohjelma, yamk
-
T2122S6Älykäs teollisuus tutkinto-ohjelma, ylempi amk
- Course
- TX00DP07
Implementation has 10 reservations. Total duration of reservations is 37 h 30 min.
| Time | Topic | Location |
|---|---|---|
|
Thu 14.09.2023 time 17:00 - 20:45 (3 h 45 min) |
Älykkäät teolliset ratkaisut TX00DP07-3006 |
MMC310
Oppimistila
|
|
Thu 21.09.2023 time 17:00 - 20:45 (3 h 45 min) |
Älykkäät teolliset ratkaisut TX00DP07-3006 |
21.9. Etäopetusta, katso tiedote!
|
|
Thu 28.09.2023 time 17:00 - 20:45 (3 h 45 min) |
Älykkäät teolliset ratkaisut TX00DP07-3006 |
MMC310
Oppimistila
|
|
Thu 05.10.2023 time 17:00 - 20:45 (3 h 45 min) |
Älykkäät teolliset ratkaisut TX00DP07-3006 |
MMC310
Oppimistila
|
|
Thu 12.10.2023 time 17:00 - 20:45 (3 h 45 min) |
Älykkäät teolliset ratkaisut TX00DP07-3006 |
MMC310
Oppimistila
|
|
Thu 26.10.2023 time 17:00 - 20:45 (3 h 45 min) |
Älykkäät teolliset ratkaisut TX00DP07-3006 |
MMC310
Oppimistila
|
|
Thu 02.11.2023 time 17:00 - 20:45 (3 h 45 min) |
Älykkäät teolliset ratkaisut TX00DP07-3006 |
MMC310
Oppimistila
|
|
Thu 09.11.2023 time 17:00 - 20:45 (3 h 45 min) |
Älykkäät teolliset ratkaisut TX00DP07-3006 |
MMC310
Oppimistila
|
|
Thu 16.11.2023 time 17:00 - 20:45 (3 h 45 min) |
Älykkäät teolliset ratkaisut TX00DP07-3006 |
MMC310
Oppimistila
|
|
Thu 23.11.2023 time 17:00 - 20:45 (3 h 45 min) |
Älykkäät teolliset ratkaisut TX00DP07-3006 |
MMC310
Oppimistila
|
Objective
The student understands what is meant by intelligent solutions and factories where the embedded systems and intelligence of production combine. In addition to that, the student is able to evaluate business opportunities in a variety of combinations by knowledge, growth in computing power, connectivity, analytics, man/machine collaboration, added reality, advanced robotics, simulations and 3D technologies.
Content
- Intelligent industrial solutions
- Emerging technologies
- Applications
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
(Satisfactory) The student’s performance is sufficient and she/he is showing just enough understanding of the subject to merit a pass grade but requiring greater effort to achieve a more satisfactory result.
Assessment criteria, good (3)
(Good) The student’s performance is good and she/he is showing strong understanding of basic concepts and good grasp of techniques, but with certain minor problems still requiring further action
Assessment criteria, excellent (5)
(Outstanding) The student’s performance is excellent and is not only fulfils all standard requirements but demonstrates originality and imagination.
Assessment criteria, approved/failed
(Satisfactory) The student’s performance is sufficient and she/he is showing just enough understanding of the subject to merit a pass grade but requiring greater effort to achieve a more satisfactory result.