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Information Technology in Automation 2 (5 cr)

Code: TX00DT10-3005

General information


Enrollment

27.11.2023 - 31.12.2023

Timing

15.01.2024 - 15.03.2024

Number of ECTS credits allocated

5 op

Mode of delivery

Contact teaching

Unit

School of Smart and Clean Solutions

Campus

Leiritie 1

Teaching languages

  • Finnish

Degree programmes

  • Electrical and Automation Engineering

Teachers

  • Reijo Leinonen
  • Tatu Suomi

Teacher in charge

Raisa Kallio

Groups

  • SA22K
    Automaatiotekniikan pääaine, keväällä 2022 aloittaneet päiväopiskelijat
  • SA21K
    Automaatiotekniikan pääaine, keväällä 2021 aloittaneet päiväopiskelijat
  • TXJ21S2A
    Automaatiotekniikan pääaine, syksyllä 2021 opintonsa aloittaneet monimuoto-opiskelijat

Objective

- Students are able to explain the significance of different information systems, make use of information systems and to determine the total solution for intelligent information system’s needs.
- The student can name the integration of different standards, to implement automation, as well as integrations to determine the right to choose and the right purpose of integration method.

Content

1. Industrial information systems and databases
2. Integration of standards and methods

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.