Basics of Measures ja Automation (5 cr)
Code: TERP0141-3002
General information
- Enrollment
-
04.01.2021 - 10.01.2021
Registration for the implementation has ended.
- Timing
-
01.01.2021 - 31.07.2021
Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 1 cr
- Virtual portion
- 4 cr
- Mode of delivery
- Blended learning
- Unit
- School of Technology
- Teaching languages
- Finnish
- Seats
- 0 - 40
- Degree programmes
- Bachelor's Degree Programme in Energy and Environmental Technology
- Teachers
- Markku Ström
- Ari Latvala
- Teacher in charge
- Markku Ström
- Groups
-
TER20SMEnergia- ja ympäristötekniikka (AMK)
-
ZJA20STPMENAvoin AMK, tekn, AMK-polut (monimuoto), Energia- ja ympäristötekniikka
- Course
- TERP0141
Evaluation scale
0-5
Objective
You will get to know the devices used in automation and their operation. Studying in this course requires basic knowledge in the field of technology. The course enables more in-depth study of the topic in other courses.
EA-KW Knowledge and understanding
You are familiar with basic automation hardware solutions and programming environments in different application areas.
EA-EC Application of technology in practice
You can apply the basics of measurement and automation technology to energy technology processes.
Content
Pneumatics
Relay control
Programmable logics and their programming
Fundamentals of digital technology, analog signals and standard messages, basic measurements such as flow, pressure, temperature and surface height measurements.
Measurement errors, logic programming.
Materials
Opintomoniste (Pdf), opetusvideoita, Asko K. Kippo, Aimo Tikka: Automaatiotekniikan perusteet
Teaching methods
-lectures
-distance learning
-small group learning
-exercises
-learning tasks
Employer connections
-Excursions
-Virtual excursions
Exam schedules
The possible date and method of the exam will be announced in the course opening information.
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
One credit corresponds to an average of 27 hours of work, which means that the load of five credits is approximately 135 hours. The load is distributed in different ways depending on the course implementation.
Assessment criteria, satisfactory (1)
Adequate (1): You recognize the basics and terminology, but you have shortcomings in understanding the key issues.
Satisfactory (2): You know the basics and terminology, but you have shortcomings in the application of key issues.
Assessment criteria, good (3)
Good (3): You recognize the components of automation, you know different structures and applications.
Commendable (4): You master the key things and know how to apply them in a variety of ways in different implementations.
Assessment criteria, excellent (5)
Excellent (5): You master key things and know how to apply them creatively.
Qualifications
Basic knowledge in the field of technology
Further information
Open UAS part-time studies 4 places