Experimental Design

Dit is een conceptversie. De vakomschrijving kan nog wijzigen, bekijk deze pagina op een later moment nog eens.

Faculteit Science and Engineering
Jaar 2018/19
Vakcode WMMEDUM02
Vaknaam Experimental Design
Niveau(s) master
Voertaal Engels
Periode semester II b
Rooster rooster.rug.nl

Uitgebreide vaknaam Experimental Design
Leerdoelen The student is able
1. to define the key concepts of experimental design in particular that of the Taguchi method;
2. to explain the contribution of the Taguchi approach to quality and cost improvement;
3. to derive the statistical design objects associated with a selected design, starting from the basic analysis of variance;
4. to synthesize upon as well as apply the Taguchi method in an engineering setting and to evaluate the results obtained from Taguchi analysis.
Omschrijving Engineering problems are often investigated by conducting an experiment. This course gives a conceptual and mathematical background of testing engineering hypotheses by statistical modeling as well as the statistical analysis by the statistical programming language R. During the course statistical principles will be elaborated and applied to solving engineering type inference problems by the design of experiments, analysis of variance, factorial design and Taguchi design. Students will be challenged to apply the approach to data from empirical research. This course builds on Statistics and Stochastics for IEM in the first year.
Uren per week variabel
Onderwijsvorm Hoorcollege (LC), Opdracht (ASM), Practisch werk (PRC), Werkcollege (T)
Toetsvorm Opdracht (AST), Verslag (R)
Vaksoort master
Coördinator dr. W.P. Krijnen
Docent(en) prof. dr. E.C. Wit
Entreevoorwaarden Students have an introductory background from the course Statistics and Stochastics in the IEM curriculum in the first year of the B.Sc. or a similar course in their B.Sc. elsewhere.
Opgenomen in
Opleiding Jaar Periode Type
MSc Mechanical Engineering (in ontwikkeling)  (04. Process Design for Energy Systems) 1 semester II b verplicht
MSc Mechanical Engineering (in ontwikkeling)  (02. Smart Factories) 1 semester II b verplicht
MSc Mechanical Engineering (in ontwikkeling)  (01. Advanced Instrumentation) 1 semester II b verplicht
MSc Mechanical Engineering (in ontwikkeling)  (03. Materials for Mechanical Engineering) 1 semester II b verplicht