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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture introduces the concept of full factorial design, explaining the process of creating experimental designs to study the influence of multiple factors on a response variable. Starting with the basics of factors, levels, and treatment conditions, it progresses to coding the design, graphical outputs, and interpreting the results. The lecture covers the importance of main effects, interactions, and the conservation of degrees of freedom in experimental data analysis.