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 ...

Formulations are complex products with multiple components and phases. Also, we usually need to balance several performance properties to deliver the optimum product. No wonder that the traditional ...

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 ...

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

Sound experimental design is of vital importance when conducting any scientific experiment. Choices made at the design stage have the potential to drastically impact the results of any study. A strong ...

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 ...

Data collection is sometimes performed without considering the effect poorly collected data has in the strength of statistical conclusions. When researchers properly design an experiment, they are ...

How can you determine if a new process performs better than the original? How can you be confident that a new drug or vaccine will be safe and effective? How can you best determine which market(s) to ...

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 ...