Study Guide

Objective

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

Materials

All learning material is published online in course web-page.
• lecture as pdf or printed out

International connections

Course teachers are Prof. Dr. Jörg Hoffmann & Mr. Werner Trentmann from Osnabrück University of Applied Sciences, Germany.

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 the 70% of the points of the written exam

Assessment methods and criteria

The course assessment is based on
- active attendance
- active calculation of examples by the students during the lecture
- assessment of the lab experiment
- written examination over 60 minutes

Prerequisites

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