Smart Industry (10 cr)
Code: TX00DT01-3006
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
- Local portion
- 10 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) Team Smart
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Degree programmes
- Electrical and Automation Engineering
- Teacher in charge
- Raisa Kallio
- Groups
-
SA21SAutomaatiotekniikan pääaine, syksyllä 2021 aloittaneet päiväopiskelijat
- Course
- TX00DT01
Implementation has 51 reservations. Total duration of reservations is 161 h 30 min.
Time | Topic | Location |
---|---|---|
Tue 22.08.2023 time 10:00 - 13:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMA101
A-auditorio
|
Tue 22.08.2023 time 13:00 - 17:00 (4 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMA111a
Oppimistila
|
Tue 29.08.2023 time 13:00 - 17:00 (4 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMA111a
Oppimistila
|
Wed 30.08.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB249
IT-Tila
|
Thu 31.08.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB324
EXAM
|
Thu 31.08.2023 time 11:00 - 14:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB349
IT-Tila
|
Mon 04.09.2023 time 11:00 - 14:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB301
Auditorio 3 krs.
|
Tue 05.09.2023 time 10:00 - 13:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB101
Auditorio 1 krs.
|
Tue 12.09.2023 time 09:00 - 13:00 (4 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC310
Oppimistila
|
Thu 14.09.2023 time 11:00 - 14:00 (3 h 0 min) |
Ope sairas - Älykäs teollisuus TX00DT01-3006 |
|
Mon 18.09.2023 time 11:00 - 14:00 (3 h 0 min) |
Ope sairas - Älykäs teollisuus TX00DT01-3006 |
|
Tue 19.09.2023 time 09:00 - 13:00 (4 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC310
Oppimistila
|
Wed 20.09.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
|
Thu 21.09.2023 time 14:30 - 18:00 (3 h 30 min) |
Älykäs teollisuus TX00DT01-3006 |
MMA215
Oppimistila
|
Fri 22.09.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
|
Fri 22.09.2023 time 11:00 - 14:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
|
Tue 26.09.2023 time 10:00 - 13:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB101
Auditorio 1 krs.
|
Thu 28.09.2023 time 13:00 - 17:00 (4 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMA123
Oppimistila
|
Mon 02.10.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
|
Mon 02.10.2023 time 11:00 - 14:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB301
Auditorio 3 krs.
|
Wed 04.10.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
|
Thu 05.10.2023 time 08:00 - 12:00 (4 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMA216
Oppimistila
|
Thu 05.10.2023 time 09:00 - 12:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
|
Tue 10.10.2023 time 10:00 - 13:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
PERUTTU
|
Tue 10.10.2023 time 13:30 - 17:00 (3 h 30 min) |
Älykäs teollisuus TX00DT01-3006 |
MMA111a
Oppimistila
|
Thu 12.10.2023 time 11:00 - 14:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB235
Fysiikan Demolaboratorio
|
Thu 12.10.2023 time 14:30 - 18:00 (3 h 30 min) |
Älykäs teollisuus TX00DT01-3006 |
Zoom class
|
Fri 13.10.2023 time 12:00 - 16:00 (4 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
Zoom
|
Mon 23.10.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
|
Wed 25.10.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
|
Wed 25.10.2023 time 11:00 - 14:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB301
Auditorio 3 krs.
|
Thu 26.10.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
|
Tue 31.10.2023 time 10:00 - 13:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC345
Oppimistila
|
Wed 01.11.2023 time 11:00 - 14:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB301
Auditorio 3 krs.
|
Mon 06.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
|
Wed 08.11.2023 time 08:00 - 11:00 (3 h 0 min) |
PERUTTU: Älykäs teollisuus TX00DT01-3006 |
|
Wed 08.11.2023 time 11:00 - 14:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB301
Auditorio 3 krs.
|
Thu 09.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC376.1
Automaatiolaboratorio 1, Ryhmätyötila
|
Tue 14.11.2023 time 10:00 - 13:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC345
Oppimistila
|
Wed 15.11.2023 time 11:00 - 14:00 (3 h 0 min) |
Ryhmätöiden tekoa! Älykäs teollisuus TX00DT01-3006 |
Ei luokkaa
|
Mon 20.11.2023 time 08:00 - 11:00 (3 h 0 min) |
PERUTTU: Älykäs teollisuus TX00DT01-3006 |
PERUTTU
|
Wed 22.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB349
IT-Tila
|
Wed 22.11.2023 time 11:00 - 14:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB301
Auditorio 3 krs.
|
Thu 23.11.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB249
IT-Tila
|
Tue 28.11.2023 time 10:00 - 13:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
PERUTTU
|
Mon 04.12.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB349
IT-Tila
|
Mon 04.12.2023 time 12:00 - 15:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMA101
A-auditorio
|
Tue 05.12.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB348
IT-Tila
|
Thu 07.12.2023 time 08:00 - 11:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC314
IT-Tila
|
Tue 12.12.2023 time 10:00 - 13:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMC345
Oppimistila
|
Wed 13.12.2023 time 11:00 - 14:00 (3 h 0 min) |
Älykäs teollisuus TX00DT01-3006 |
MMB301
Auditorio 3 krs.
|
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