Smart Industry (10 cr)
Code: TX00DT01-3005
General information
- Enrollment
-
01.05.2023 - 31.05.2023
Registration for the implementation has ended.
- Timing
-
21.08.2023 - 15.12.2023
Implementation has ended.
- Number of ECTS credits allocated
- 10 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Smart and Clean Solutions
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Seats
- 0 - 30
- Degree programmes
- Electrical and Automation Engineering
- Teacher in charge
- Raisa Kallio
- Course
- TX00DT01
Implementation has 18 reservations. Total duration of reservations is 58 h 30 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 21.08.2023 time 17:00 - 20:15 (3 h 15 min) |
Älykäs teollisuus TX00DT01-3005 ENGLISH |
https://metropolia.zoom.us/j/64113819720
|
|
Tue 22.08.2023 time 17:00 - 20:15 (3 h 15 min) |
Älykäs teollisuus TX00DT01-3005 |
MMC310
Oppimistila
|
|
Mon 28.08.2023 time 17:00 - 20:15 (3 h 15 min) |
ENGLISH Älykäs teollisuus TX00DT01-3005 |
Zoom
|
|
Tue 29.08.2023 time 17:00 - 20:15 (3 h 15 min) |
Älykäs teollisuus TX00DT01-3005 |
Online
|
|
Mon 04.09.2023 time 17:00 - 20:15 (3 h 15 min) |
Älykäs teollisuus TX00DT01-3005 |
Zoom
|
|
Tue 05.09.2023 time 17:00 - 20:15 (3 h 15 min) |
Älykäs teollisuus TX00DT01-3005 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
|
|
Mon 11.09.2023 time 17:00 - 20:15 (3 h 15 min) |
Älykäs teollisuus TX00DT01-3005 |
Zoom
|
|
Mon 25.09.2023 time 17:00 - 20:15 (3 h 15 min) |
Älykäs teollisuus TX00DT01-3005 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
|
|
Mon 09.10.2023 time 17:00 - 20:15 (3 h 15 min) |
PERUTTU: Älykäs teollisuus TX00DT01-3005 |
PERUTTU
|
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Mon 23.10.2023 time 17:00 - 20:15 (3 h 15 min) |
Älykäs teollisuus TX00DT01-3005 |
Online
|
|
Mon 30.10.2023 time 17:00 - 20:15 (3 h 15 min) |
Älykäs teollisuus TX00DT01-3005 |
Online
|
|
Mon 06.11.2023 time 17:00 - 20:15 (3 h 15 min) |
Älykäs teollisuus TX00DT01-3005 |
Online
|
|
Thu 09.11.2023 time 17:00 - 20:15 (3 h 15 min) |
Älykäs teollisuus TX00DT01-3005 |
Online
|
|
Mon 13.11.2023 time 17:00 - 20:15 (3 h 15 min) |
Älykäs teollisuus TX00DT01-3005 |
Online
|
|
Mon 20.11.2023 time 17:00 - 20:15 (3 h 15 min) |
Älykäs teollisuus TX00DT01-3005 |
Online
|
|
Mon 27.11.2023 time 17:00 - 20:15 (3 h 15 min) |
PERUTTU: Älykäs teollisuus TX00DT01-3005 |
PERUTTU
|
|
Mon 04.12.2023 time 17:00 - 20:15 (3 h 15 min) |
Älykäs teollisuus TX00DT01-3005 |
Online
|
|
Mon 11.12.2023 time 17:00 - 20:15 (3 h 15 min) |
HYBRIDI: Älykäs teollisuus TX00DT01-3005 |
MMC314
IT-Tila
|
Objective
After the course the student understands the possibilities of industrial internet in different kinds of automation applications.
Content
1. applications of the artificial intelligence
2. applications of the industrial internet
3. cyber security
4. applications of cloud computing in automation
5. English communication in Automation Engineering
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may complete the remaining studies in electrical engineering and automation technology and finally work in a suitable job position related to this field.
Assessment criteria, good (3)
The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of electrical engineering and automation technology and is able to analyze his/her own expertise.
Assessment criteria, excellent (5)
The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge study and work situations. Students are able to analyze the expertise in electrical engineering and automation technology and the evolvement of their own expertise.
Assessment criteria, approved/failed
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may complete the remaining studies in electrical engineering and automation technology and finally work in a suitable job position related to this field.
Further information
English communication in Automation Engineering content:
- Introduction to key concepts and terms used in Automation Engineering in texts appearing in the field
- The professional text conventions and text types in Automation Engineering
- Information acquisition, processing, application and dissemination and the reading of scientific information in a foreign language
- Advanced specialization to key concepts and terms used in Automation Engineering in texts appearing in the field
- Self-assessment of language and communication skills, and development of your own learning strategies