This short course i intended to introduce students to techniques for Design of Experiments (DOE). DOE techniques are useful for planning studies in which inputs to a system/process can be varied and the outputs are observed. This course begins with DOE fundamentals and moves to advanced concepts, principles and requirements.
Students will explore efficient planning and analysis methods for determining which inputs have statistically significant effect on outputs. This inludes analysis of variance, full and fractional factorial experiments, etc. The skills from this course can be used to improve products and processes. Upon completion of the course, students will appreciate DOE as a useful tool for the process of understanding a system.
Basic knowledge of algebra and calculus is required
An introduction to VisualDOC would be beneficial
Some experience in programming would be beneficial
Working knowledge of probability and statistics would be beneficial
Principles fundamental to Design of Experiments (DOE)
Types of DOE
Regression and Response Surface Models for DOE
Analysis of Variance (ANOVA) and Residual Analysis
VisualDOC Implementation of DOE
The instructor will present teaching material and solve examples
Hands-on exercises will be solved by the students assisted by instructor
1 day
One student per computer
The class will be taught by experts in DOE and optimization
Novi, Michigan
On site
Class begins at 8:30am
To register online for a scheduled class, go to our online store.
For questions about this course, contact training@vrand.com or call training support at 1-719-473-4611 x101.
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