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Experiment Design and Quality Control

Module name (EN):
Name of module in study programme. It should be precise and clear.
Experiment Design and Quality Control
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Automotive Engineering, Master, ASPO 01.04.2023
Module code: FTM-VUQ
SAP-Submodule-No.:
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
P241-0367, P610-0638
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.
2V (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:
German
Assessment:
Composition

[updated 04.11.2020]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

FTM-VUQ (P241-0367, P610-0638) Automotive Engineering, Master, ASPO 01.04.2021 , optional course, technical
FTM-VUQ (P241-0367, P610-0638) Automotive Engineering, Master, ASPO 01.04.2023 , optional course, technical
MAM.2.1.2.29 (P241-0367) Engineering and Management, Master, ASPO 01.10.2019 , optional course, technical
MAM.2.1.2.29 (P241-0367) Engineering and Management, Master, SO 01.10.2024 , optional course, technical
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. Gerald Kroisandt
Lecturer: Prof. Dr. Gerald Kroisandt

[updated 23.03.2020]
Learning outcomes:
After successfully completing this module and based on the statistical knowledge they acquired in MAM_19_A_1.01.MTS, students will be able to determine confidence intervals for a wide range of mean values and variances. They will also understand how process control charts work.
Students will understand tests, and in particular how to proceed when choosing a hypothesis and an alternative.
 
 
As with confidence intervals, they will be able to design appropriate tests for a wide range of situations.
If something depends on several factors, e.g. the load capacity of a component, students will be familiar with common methods for designing experiments and will be able to apply them.
 
The question as to which factor(s) produce differences in quality is examined by analysis of variance, which students will also be able to apply.
 
 
- Point estimator (ML estimator) and mean-squared error for quality assessment

[updated 04.11.2020]
Module content:
 
- Confidence intervals for diverse situtaions
- Basics of process control charts
- Hypothesis testing for different situations
- Designing experiments
- Analysis of variance

[updated 04.11.2020]
Recommended or required reading:


[still undocumented]
 
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