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Industrial Internet (5 cr)

Code: TX00DP06-3003

General information


Enrollment
28.11.2022 - 18.01.2023
Registration for the implementation has ended.
Timing
16.01.2023 - 12.05.2023
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
Seats
0 - 40
Degree programmes
Master's Degree Programme in Intelligent Industrial Solutions
Teachers
Erkki Räsänen
Teacher in charge
Jarno Varteva
Groups
T2123K6
Älykkään teollisuuden tutkinto-ohjelma, yamk
T2122S6
Älykäs teollisuus tutkinto-ohjelma, ylempi amk
T2122K6
Älykkään teollisuuden tutkinto-ohjelma, yamk
Course
TX00DP06

Implementation has 6 reservations. Total duration of reservations is 22 h 30 min.

Time Topic Location
Tue 07.03.2023 time 17:00 - 20:45
(3 h 45 min)
Teollinen internet TX00DP06-3003
MMA115 Oppimistila
Tue 14.03.2023 time 17:00 - 20:45
(3 h 45 min)
Teollinen internet TX00DP06-3003
MMA115 Oppimistila
Tue 28.03.2023 time 17:00 - 20:45
(3 h 45 min)
Teollinen internet TX00DP06-3003
MMA115 Oppimistila
Hybridiopetus
Tue 04.04.2023 time 17:00 - 20:45
(3 h 45 min)
Teollinen internet TX00DP06-3003
MMA115 Oppimistila
Tue 11.04.2023 time 17:00 - 20:45
(3 h 45 min)
Teollinen internet TX00DP06-3003
MMA115 Oppimistila
Hybridiopetus
Tue 09.05.2023 time 17:00 - 20:45
(3 h 45 min)
Teollinen internet TX00DP06-3003
MMA115 Oppimistila
Hybridiopetus
Changes to reservations may be possible.

Objective

The student understands the opportunities offered by the industrial internet as a platform for new types of knowledge-based services. In addition to that, the student is able to evaluate the applicability of electronics, software and architectural solutions for various industrial applications and to implement practical solutions.

Content

- Opportunities of industrial internet
- Connections, sensors and controllers
- Levels of industrial internet
- Principles of cloud computing
- Security of industrial internet
- The concept and principles of data mining
- Qualification of information
- Industrial 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)

(Average/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 attention.

Assessment criteria, excellent (5)

(Outstanding), the student's performance is excellent and it 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.

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