Kursplan
Introduktion till Design of Experiments (DoE)
Förstå typerna av experimentell design
Designa faktoriella experiment
Analysera en replikerad och en oreplicerad fullständig faktor
Screeningexperiment
Fraktionella faktoriella mönster
Anpassade screeningdesigner
Översikt över Response Surface Designs
Analysera responsytexperiment
Skapa anpassade responsytor
Utföra ett sekventiellt experiment
Förstå DoE-riktlinjerna
Definiera problemet och målen
Förbereder för att utföra experimentet
Bästa metoder
Sammanfattning och nästa steg
Krav
- Kunskap och erfarenhet av att genomföra experiment
Publik
- Forskare
- Ingenjörer
Vittnesmål (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
Genomtänkt och högklassigt planeringsmaterial.
Andrew - Office of Projects Victoria - Department of Treasury & Finance
Kurs - Forecasting with R
Machine Translated
Var inte tråkigt, tränaren kunde behålla uppmärksamheten, ämnena behandlades på djupet.
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.