Learn how to plan, execute and analyse efficient experiments
Modern analytical methods and production processes used in research and manufacturing are complex, with many different factors affecting the outcome. In order to be competitive, companies need to minimise resources expended on development and maximise process performance. Design of Experiments (DoE) enables these complex situations to be understood, reducing the cost of gaining an in-depth knowledge of the process which can be translated into competitive advantage. It is also a tool required by most of the regulatory agencies worldwide (including, for example, the US Food and Drug Administration). DoE provides a well-structured method for determining the relationships between factors affecting the process under study.
Who should attend?
The course is aimed at analytical scientists and laboratory managers who need to plan experimental studies for analytical method development, or for product or process improvement, and who wish to develop an understanding of the main types of experiment used in industrial experimental design. The course is suitable for those who have a basic knowledge of statistics, including a basic understanding of significance testing, linear regression and analysis of variance.
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