Design of experiments (a) - Fall semester
ENG-606(a) / 4 credits
Teacher: Fuerbringer Jean-Marie
Language: English
Remark: Next time : Fall 2024
Summary
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
Learning Prerequisites
Recommended courses
Basic statistics, Matrix algebra, Matlab
In the programs
- Number of places: 60
- Exam form: Project report (session free)
- Subject examined: Design of experiments (a) - Fall semester
- Lecture: 20 Hour(s)
- Practical work: 36 Hour(s)
- Type: optional
- Number of places: 60
- Exam form: Project report (session free)
- Subject examined: Design of experiments (a) - Fall semester
- Lecture: 20 Hour(s)
- Practical work: 36 Hour(s)
- Type: optional
- Number of places: 60
- Exam form: Project report (session free)
- Subject examined: Design of experiments (a) - Fall semester
- Lecture: 20 Hour(s)
- Practical work: 36 Hour(s)
- Type: optional
- Number of places: 60
- Exam form: Project report (session free)
- Subject examined: Design of experiments (a) - Fall semester
- Lecture: 20 Hour(s)
- Practical work: 36 Hour(s)
- Type: optional