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 ...

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 ...

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 ...

A project suitable for use as a first and last assignment given in an introductory experimental design course is outlined, and its implementation discussed. Phase 1 of the project is designed to be ...

The Defense Information System Agency's Joint Interoperability Test Command, or JITC, here recently orchestrated two activities as part of the collaborative partnership known as "Team Huachuca." JITC ...

Educational Technology & Society, Vol. 16, No. 1, Innovative Technologies for the Seamless Integration of Formal and Informal Learning (January 2013), pp. 380-391 (12 pages) ABSTRACT The objective of ...

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 ...

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 ...

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 ...