Course Outline
Design of Experiments (DoE) 소개
실험 설계 유형 이해
요인 실험 설계
복제된 전체 요인 분석 및 복제되지 않은 완전 요인 분석
스크리닝 실험
부분 요인 설계
맞춤형 스크리닝 디자인
반응 표면 설계 개요
반응 표면 실험 분석
맞춤형 반응 표면 디자인 만들기
순차적 실험 수행
DoE 지침 이해
문제와 목표 정의
실험 수행 준비
모범 사례
요약 및 다음 단계
Requirements
- 실험 수행에 대한 지식과 경험
청중
- 과학자
- 엔지니어
회원 평가 (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
Course - Introduction to Data Visualization with Tidyverse and R
We were using road accident data for practicals
Maphahamiso Ralienyane - Road Safety Department
Course - Statistical Analysis using SPSS
잘 생각되고 고급 기획 자료.
Andrew - Office of Projects Victoria - Department of Treasury & Finance
Course - Forecasting with R
Machine Translated
지루하지 않았고, 트레이너가 집중을 유지할 수 있었고, 주제가 깊이 있게 다루어졌습니다.
Marta - Ministerstwo Zdrowia
Course - Advanced R Programming
Machine Translated
very tailored to needs
Yashan Wang
Course - 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
Course - 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
Course - 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.