<?xml version="1.0" encoding="ISO-8859-1" standalone="yes" ?>
<document>
<title>Design of Experiments</title>
<cid>MST.DOE</cid>
<sapsubmodule>P231-0110</sapsubmodule>
<bkey>ystm</bkey>
<ctypes>
<hours>2</hours>
<type>PA</type>
</ctypes>
<cp>3</cp>
<semester>8</semester>
<mandatory>nein</mandatory>
<language>Englisch</language>
<exam>Projektarbeit</exam>
<curriculum>
<curriculum_entry>
<cid>MTM.DOE</cid>
<branch>Mechatronik</branch>
<semester>8</semester>
<mandatory_tag>Wahlpflichtfach</mandatory_tag>
</curriculum_entry>
<curriculum_entry>
<cid>MAM.2.1.1.9</cid>
<branch>Engineering und Management</branch>
<semester>8</semester>
<mandatory_tag>Wahlpflichtfach</mandatory_tag>
</curriculum_entry>
<curriculum_entry>
<cid>MST.DOE</cid>
<branch>Mechatronik/Sensortechnik</branch>
<semester>8</semester>
<mandatory_tag>Wahlpflichtfach</mandatory_tag>
</curriculum_entry>
<curriculum_entry>
<cid>MST.DOE</cid>
<branch>Mechatronik/Sensortechnik</branch>
<semester>8</semester>
<mandatory_tag>Wahlpflichtfach</mandatory_tag>
</curriculum_entry>
</curriculum>
<workload>
Die Präsenzzeit dieses Moduls umfasst bei 15 Semesterwochen 30 Veranstaltungsstunden (= 22.5 Zeitstunden). Der Gesamtaufwand des Moduls beträgt bei 3 Creditpoints 90 Stunden (30 Stunden/ECTS Punkt). Daher stehen für die Vor- und Nachbereitung der Veranstaltung zusammen mit der Prüfungsvorbereitung 67.5 Stunden zur Verfügung.
</workload>
<prerequisites>
</prerequisites>
<prerequisitesfor>
</prerequisitesfor>
<convenor>Prof. Dr. Gerald Kroisandt</convenor>
<convenor-person-key>gkr</convenor-person-key>
<lecturers>
<lecturer>Ruud Sniekers</lecturer>
<lecturer-person-key>rsn</lecturer-person-key>
</lecturers>
<objectives>After passing  this course  the student is able to:
•	Articulate or explain the assumptions DOE is based on 
•	Set up a designed experiment
•	Evaluate a design of an experiment
•	Analyze the results of an designed experiment
•	Participate in a discussion about design of experiments
</objectives>
<content>•	Measurement accuracy
•	Gage Repeatability and reproducibility
•	Sum of Squares and Degrees of Freedom
•	Analysis of variance (ANOVA)
•	Factorial design (full and fractional)
•	Main factors and interaction between factors
•	Randomization
•	Model-fitting
•	Residual analysis
</content>
<media>•	Group of 4 or 5 students
•	Weekly 1 hour college about theory
•	Weekly moment for contact between projectteam and supervisor
•	Lab journal
•	Demonstration of results
•	Group presentation (power point) (max 15  minutes per group)
</media>
<literature>Applied Statistics and Probability for Engineers, 
fifth edition chapters 13 and 14
Montgomery and Runger 
isbn 978-0470-50578-6
</literature>
<offered>
</offered>
<moduldb-query>Sun Aug  9 16:02:56 CEST 2026, CKEY=ydoex, BKEY=ystm, CID=[?], LANGUAGE=de, DATE=09.08.2026</moduldb-query>
</document>
