Sensory

Chapter 3: Everything you always wanted to know about JAR - a play in five acts

This part was co-written by Alexiane Luc and Sébastien Lê. Thanks for her invaluable help!

1Act 1 - introduction: the orange juice case study, understanding a market product space

2Act 2 - easy: the goji case study, an example of product formulation

3Act 3 - JAR: the Sennheiser case study, when JAR meet CATA

4Act 4 - difficult: the car seat case study, when JAR are free

5Act 5 - conclusion: teach me to do it myself!

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About this course

'Sensory Data Science' is an innovative course about data science applied to sensory data. In this course, we will try to find the right balance between statistics, computer science, mathematics, formalism, intuition, with a pinch of sensory, consumer, perception data. The spirit of the course is as follows: start with data, explore them and introduce the statistical and computer elements necessary to obtain knowledge. Data mining will be done using R software.

About us

The course was created by Sébastien Lê and implemented by Sébastien Lê, Guillaume Béguec, and Marion Moussay, from the statistics and computer science department, Institut Agro Rennes-Angers, CNRS, IRMAR - UMR 6625, F-35000 Rennes, France