Calibration of Measurement Devices and Data Evaluation (3 ECTS)

Learning outcomes

After completion of this course the student will understand how to calibrate a computer aided measurement device. He will understand to separate systematic errors and random errors, correct systematic errors and describe random errors with fundamental statistical methods. He should be able to create a visualisation of rows of measurements. The student is able to calculate the average error of the mean and to calculate error propagations.

Content

1. Introduction
2. Systematic errors and random errors, separation of them
3. Movement and correction of a linear / non linear characteristic
4. Example for calibration of a device and determination of the random error
5. Range and Precision and error propagation
6. Evaluation of series of measurements

Prerequisites

1. Fundamentals of mathematics
2. Basics of technical science and physics

Location and time

14 - 18 October, Mon - Fri 13:00 - 17:00
Myyrmäki campus, Leiritie 1

Further information for students

Please, bring your own laptop with you.

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

- Student understands the principles of calibration
- Student has run the lab experiment with right results
- Student has more the 50% of the points of the written exam

Assessment criteria, good (3)

- Student understands the principles of calibration and pre calibration
- Has run the lab experiment with right results and can calculate the precision of the device.
- Student has more the 70% of the points of the written exam

Assessment criteria, excellent (5)

in addition to the previous,
- Student understands the principles of calibration and pre-calibration
- Has run the lab experiment with right results and can calculate the precision of the device.
- Student has more than 90% of the points of the written exam