Modern analytical methods and production processes (manufacturing and research) are complex, with many different factors affecting the outcome. In order to be competitive, companies need to minimize ...

The planning, conduct and analysis of scientific experiments, using examples from chemical, biological, genomic, and engineering sciences. Manipulation and visualisation of experimental data; ...

Learn modern experimental strategy, including factorial and fractional factorial experimental designs, designs for screening many factors, designs for optimization experiments, and designs for complex ...

The classical design (factorial design, response surface design, etc.) may fail to meet our requirements due to an irregular design space, involving categorical variables, a nonstandard model, or ...

This course educates participants in the Lean Six Sigma method of Design of Experiments (DOE), which identifies factors most important to the success of an improvement project. This analytical ...

Across all disciplines, data analysis is vital for discovery and validation of scientific hypotheses and theories. But no matter how sophisticated the analysis may be, poorly collected data will ...

This is a core course that provides essential grounding in statistical inference and modelling relating to science and food technology. Students will learn how to design, conduct, and analyse the ...

This course is compulsory on the MSc in Behavioural Science. This course is not available as an outside option to students on other programmes. Behavioural science is the scientific study of human ...

Design of Experiments (DOE) is a methodology misunderstood by many, understood by some, and actively used by even fewer than that. Wherever it does get used, though, it has the ability to completely ...