Automation engineering (5 cr)

Evaluation scale

0-5

Objective

The student recognizes the different sections of automation engineering project and understands the strong dependence between them. The student has a vision about available data in the different engineering sections and a vision about data produced in that section. The student knows the documents used in automation engineering and can use them noticing also the safety practices.

TSASO- Design competence
The student knows the methods and tools of hardware and software design in automation
The student is able to produce standardized documentation.

TSASL- Competence in electricity and equipment safety
The student knows the significance and basic terminology of safety automation.

EA-EE- Engineering design
The student has an understanding of design methods and an ability to use them.

Content

Preliminary, Basic and Implementation Engineering
Documents used in automation engineering
Automation Safety
Databased engineering

Materials

Oppimateriaali annetaan opintojakson e-oppimisympäristössä.

Teaching methods

Automaatiosuunnittelu on luonnostaan ongelmalähtöistä ja siksi sitä käytetään myös oppimismenetelmänä. Konkreettisesti se tapahtuu kontaktituntien ja suunnitteluprojektin kautta. Suunnittelutehtävä toteutetaan pääasiassa itsenäisesti, mutta ohjausta annetaan kontaktituntien aikana ja video-ohjeistusten välityksellä.

Exam schedules

Tentti pidetään opintojakson lopussa. Loppu syksystä järjestetään myös kaksi uusintatenttiä.

Completion alternatives

The admission procedures are described in the degree rule and the study guide. The teacher of the course will give you more information on possible specific course practices.

Student workload

Yksi opintopiste tarkoittaa laskennallisesti keskimäärin 27 tunnin työtä eli viiden opintopisteen opintojakson kuormitus on noin 135 h.
Opintojaksolla on lähiopetusta 8 h oppituntia viikossa 1. periodin ajan. Lähiopetus pitää sisällään luentoja ja ryhmätöitä. Loppu aika on opiskelijan itsenäistä työskentelyä.

Assessment criteria, satisfactory (1)

Excellent (5): The student masters the essential knowledge and can apply the knowledge acquired in a creative and innovative manner.

Very good (4): The student masters the essential knowledge and can apply the knowledge.

Good (3): The student recognizes the different sections of automation engineering project and understands the strong dependence between them. The student has a vision about available data in the different engineering sections and a vision about data produced in that section. The student knows the documents used in automation engineering and can use them noticing also the safety practices.

Satisfactory (2): The student is familiar with the basic knowledge and terminology but getting the overall picture of engineering is challenging.

Adequate (1): The student identifies the basic knowledge and terminology but in the interpreting of the essential concepts the skills are still inadequate.

Qualifications

CAD basics

Further information

Avoin AMK: no limits