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Measurement Technology (5 cr)

Code: TS00CC38-3001

General information


Enrollment
04.08.2025 - 21.08.2025
Registration for introductions has not started yet.
Timing
25.08.2025 - 19.12.2025
The implementation has not yet started.
Number of ECTS credits allocated
5 cr
Local portion
5 cr
Mode of delivery
Face-to-face
Unit
School of Technology
Campus
Lutakko Campus
Teaching languages
English
Seats
20 - 30
Degree programmes
Bachelor's Degree Programme in Automation and Robotics
Teachers
Antti Parantainen
Harri Varpanen
Groups
TSA25VS
Sähkö- ja automaatiotekniikka (AMK), vaihto-opiskelu/Exchange studies
TAR24S1
Bachelor's Degree Programme in Automation and Robotics
Course
TS00CC38
No reservations found for realization TS00CC38-3001!

Evaluation scale

0-5

Objective

You will get acquainted with industrial measurements and their technology. You will need a basic knowledge of physics and electrical engineering in the course. You will be able to use what you have learned in this course in many other courses during your studies and, of course, in working life.

EUR-ACE INFORMATION AND UNDERSTANDING
You are familiar with industrial measurement methods and understand their physical fundamentals. You know how to analyze measurement results and understand the measurement uncertainty associated with measurements. You can make choices between different measurement methods and you can implement simple PC-based measurement applications.

Content

In this course, you will learn industrial measurement techniques and their technology, building on your foundational knowledge of physics and electrical engineering. You will learn to analyze measurement results and understand the significance of measurement uncertainty. The course also teaches you to select appropriate measurement methods and implement simple PC-based measurement applications. This course provides you with valuable skills that you can apply in other courses and in your professional career.

Measurement uncertainty
Measurement methods
Physical foundations of measurements
Analysis of measurement data
PC-based measurement applications (Labview)

Assessment criteria, satisfactory (1)

Adequate (1): You recognize the basics and terminology, but interpreting them is challenging.

Satisfactory (2): You know the basics and terminology, but applying the key things is challenging.

Assessment criteria, good (3)

Good (3): You understand the physical and chemical principles of measurement methods, you can evaluate the reliability of measurement and you can design PC-based measurement methods. You understand the principles so deeply that you know how to locate the causes of inaction.

Commendable (4): You master the key issues and their application.

Assessment criteria, excellent (5)

Excellent (5): You master the key things and know how to apply them, outlining different solutions, showing creativity and innovation.

Further information

Exchange students 5

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