This course focuses on experimental design and applied statistical methods for data analysis. Students will learn how to design and interpret experiments considering multiple variables, avoiding ...

Design of experiments (DoE) is an efficient method for planning experiments. DoE involves intentionally changing one or more input-process factors – also known as independent variables – to observe ...

This machine learning-based experimental design method, which can successfully predict the peak performance of organic thermoelectric devices while minimizing repeated experiments, is expected to ...

Design of experiments enables engineers to demonstrate or understand a process while providing information required for achieving regulatory compliance. A valuable method for predicting process ...

There is growing concern about the reliability of biomedical research results. Poor experimental design, inappropriate analysis methods and incomplete reporting have all contributed to inconsistent ...

Anyone who has washed dishes can tell you that a lot of stuff clings to dirty plates, glasses, and silverware after a meal. And anyone who has developed an automatic dishwasher detergent to clean the ...

For metallic alloys in aerospace, machine learning can make the development of additive manufacturing (AM) processes both faster and cheaper. In collaboration with the University of Sheffield Advanced ...