Experimental Design

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
Onderwijsvorm	Hoorcollege (LC), Opdracht (ASM), Werkcollege (T) (32 LC, 32 T, 48 AST, self study 28)
Toetsvorm	Opdracht (AST), Verslag (R) (60% R, 20%AST, 20%AST)
Vaksoort	master
Coördinator	dr. W.P. Krijnen
Docent(en)	Guest lecturer ,dr. W.P. Krijnen
Verplichte literatuur	Titel Auteur ISBN Prijs Design and Analysis of Experiments. 9th 2017 Montgomery , D.C (2017) Wiley A primer on the Taguchi method. 2nd Ranjit K. Roy
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.
Opmerkingen	Assessment takes place through homework assignments and written exam according to Final = 0.2 x HW1 + 0.2 x HW2 + 0.6 x V Second examiner: prof. Marco M.A.Grzegorczyk This course was registered last year with course code WMME19002
Opgenomen in	Opleiding Jaar Periode Type MSc Mechanical Engineering: Advanced Instrumentation  (Compulsory Courses) 1 semester II b verplicht MSc Mechanical Engineering: Materials for Mechanical Engineering  (Compulsory Courses) 1 semester II b verplicht MSc Mechanical Engineering: Process Design for Energy Systems  (Compulsory Courses) 1 semester II b verplicht MSc Mechanical Engineering: Smart Factories  ( Compulsory courses) 1 semester II b verplicht