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Design of Experiments

Module name (EN):
Name of module in study programme. It should be precise and clear.
Design of Experiments
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Mechatronics, Master, ASPO 01.04.2020
Module code: MTM.DOE
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
2PA (2 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
3
Semester: according to optional course list
Mandatory course: no
Language of instruction:
English
Assessment:
Project work

[updated 01.10.2020]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

MTM.DOE Mechatronics, Master, ASPO 01.04.2020 , optional course
MAM.2.1.1.9 (P231-0110) Engineering and Management, Master, ASPO 01.10.2013 , semester 8, optional course
MST.DOE (P231-0110) Mechatronics and Sensor Technology, Master, ASPO 01.04.2016 , optional course
MST.DOE (P231-0110) Mechatronics and Sensor Technology, Master, ASPO 01.10.2011 , semester 8, optional course

Suitable for exchange students (learning agreement)
Workload:
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
30 class hours (= 22.5 clock hours) over a 15-week period.
The total student study time is 90 hours (equivalent to 3 ECTS credits).
There are therefore 67.5 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
None.
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Martin Löffler-Mang
Lecturer: Prof. Dr. Martin Löffler-Mang

[updated 30.01.2019]
Learning outcomes:
After successfully completing this course, students will be able to:
_        articulate or explain the assumptions DOE is based on
_        set up a designed experiment
_        evaluate an experiment design
_        analyze the results of a designed experiment
_        participate in a discussion about experiment design


[updated 01.10.2020]
Module content:
_        Measurement accuracy
_        Gage repeatability and reproducibility
_        Sum of squares and degrees of freedom
_        Analysis of varianc


[updated 01.10.2020]
Recommended or required reading:


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