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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
Teachers
Matti Välikylä
Jukka Karppinen
Helenika Hellevig
Teacher in charge
Raisa Kallio
Groups
SA21S
Automaatiotekniikan 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.
Changes to reservations may be possible.

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

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