Kursplan
Introduksjon til Design of Experiments (DoE)
Forstå typene eksperimentelle design
Utforme faktorielle eksperimenter
Analysere en replikert og en ikke-replikert fullstendig faktor
Screeningeksperimenter
Fraksjonelle faktorielle design
Tilpasset screeningdesign
Oversikt over responsoverflatedesign
Analyse av responsoverflateeksperimenter
Opprette tilpassede responsoverflatedesign
Utføre et sekvensielt eksperiment
Forstå DoE-retningslinjene
Definere problemet og målene
Forbereder til å utføre eksperimentet
Beste praksis
Sammendrag og neste trinn
Krav
- Kunnskap og erfaring med å gjennomføre eksperimenter
Publikum
- Forskere
- Ingeniører
Testimonials (8)
The pace was just right and the relaxed atmosphere made candidates feel at ease to ask questions.
Rhian Hughes - Public Health Wales NHS Trust
Kurs - Introduction to Data Visualization with Tidyverse and R
We were using road accident data for practicals
Maphahamiso Ralienyane - Road Safety Department
Kurs - Statistical Analysis using SPSS
Godt gjennomtenkt og høyverdig planleggingsmateriell.
Andrew - Office of Projects Victoria - Department of Treasury & Finance
Kurs - Forecasting with R
Machine Translated
Var ikke kjedelig, treneren kunne beholde oppmerksomheten, temaene ble dekket i dybden.
Marta - Ministerstwo Zdrowia
Kurs - Advanced R Programming
Machine Translated
very tailored to needs
Yashan Wang
Kurs - Data Mining with R
The subject matter and the pace were perfect.
Tim - Ottawa Research and Development Center, Science Technology Branch, Agriculture and Agri-Food Canada
Kurs - Programming with Big Data in R
At the end of the class, we had a great overview of the language, we were provided tools to continue learning and were provided suggestions on how to continue learning. We covered AI/ML information.
Victor Prado - Global Knowledge Network Training Ltd
Kurs - R
That Haytham started with the basics and gave us enough time to do the examples and ensure that we were at the same page before we moved on to the next topic.