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Fiches de cours 2017-2018
Design of experiments (c) - Spring semester
ENG-606(c)
Lecturer(s) :
Fuerbringer Jean-MarieLanguage:
English
Frequency
Every yearRemarque
Block course: February 21, 22, 23; March 7, 8, 9, 2018; from 10:15 to 12:00 and from 13:15 to 15:00Summary
The course teaches the acquisition of a methodology of designing experiments for optimal quality of the results and of the number of experiments.Content
Experiment analysis and planning
Treatment of qualitative factors
- Inference of constant and random coefficient models
- Graeco-latin squares design
- Balanced bloc design
- Analysis of variance (Anova)
Treatment of quantitative factors
- Empirical models
- Matricial treatment of the multilinear regression
- Analysis of non-orthogonal estimators
- Analysis of variance
Standard designs for first and second degree models
- Hadamard, factorial, fractional factorial designs
- Normal and half normal
- Composite, Doehlert and Box Behnken design
- Canonical analysis
Note
Specifically the objectives are:
- To transfer to the student the conceptual basis for designing, performing and analyzing statistical design of experiments
- To let the student understand the methodology of response surface, with the mathematical concepts that allow the evaluation and the optimization of a matrix of experiments
- To develop a principle of know-how to evaluate, optimize and analyze design of experiments
- To develop conceptual understanding of the design of experiments that allows the PhD student to collaborate with statisticians
Given during spring semester; block course (2x3 days)
The course requires to be familiar with Excel or Matlab
Keywords
Experimental methodology, optimization of experimental plan, applied statistics, empirical models, sensitivity analysis
Learning Prerequisites
Recommended courses
Basic statistics, Matrix algebra, Matlab and/or Excel
In the programs
- Semester
- Exam form
Project report - Credits
4 - Subject examined
Design of experiments (c) - Spring semester - Lecture
20 Hour(s) - Practical work
36 Hour(s)
- Semester
- Semester
- Exam form
Project report - Credits
4 - Subject examined
Design of experiments (c) - Spring semester - Lecture
20 Hour(s) - Practical work
36 Hour(s)
- Semester
- Semester
- Exam form
Project report - Credits
4 - Subject examined
Design of experiments (c) - Spring semester - Lecture
20 Hour(s) - Practical work
36 Hour(s)
- Semester
- Semester
- Exam form
Project report - Credits
4 - Subject examined
Design of experiments (c) - Spring semester - Lecture
20 Hour(s) - Practical work
36 Hour(s)
- Semester
- Semester
- Exam form
Project report - Credits
4 - Subject examined
Design of experiments (c) - Spring semester - Lecture
20 Hour(s) - Practical work
36 Hour(s)
- Semester
Reference week
Lecture
Exercise, TP
Project, other
legend
- Autumn semester
- Winter sessions
- Spring semester
- Summer sessions
- Lecture in French
- Lecture in English
- Lecture in German