Der Kurs ist leider schon ausgebucht.
In order to understand how nature works scientists and engineers need to perform experiments. These experiments generate data which represent quantitative evidence on how a specific phenomenon works. All modeling tasks are critically dependent on such experimental evidence.
This course reviews a longstanding methodology for the design of experiments (DoE) so that the maximum information is obtained with the minimum or fixed number of experiments. Very often experimenters are inclined to perform experiments by changing one operating variable, or factor, at a time. In the case of 6 factors this entails the execution of 64 to 69 experiments. The present course will enable the students to understand that this approach in highly inefficient and it will show that a small size Central Composite Design with 28 to 33 experiments provides a much more informative understanding of the relationship between the values of the operating variables and the experimental results than the above set of 64 to 69 experiments.