Abstract: 

In this work we share our experience of teaching and applying Statistical Engineering. The initiative is led by the Federal University of Rio Grande do Norte (UFRN) in Brazil to undergraduate and graduate students in Statistics. Our efforts have been mentored by Geoff Vining, the primary initiator and founding Chair of ISEA. We provide an overview of the actions taken and the challenges we face, including subjects studied and partnerships we have established. We expect to spread the use of Statistical Engineering to solve problems and to contribute to the improvement of the training of students in the Statistics course at UFRN, as well as to serve as an example of how universities can implement Statistical Engineering as a discipline in their curriculum courses.

Bio Andressa

Andressa N Siroky is an assistant professor in the Statistics department at the Federal University of Rio Grande do Norte, Brazil. She is currently deputy coordinator of the Applied Statistics Laboratory, which provides statistical consultancy to students and researchers of various areas, serving both UFRN and other institutions. Coordinates the Statistical Engineering project: Seeking sustainable data-based solutions to complex problems, which aims to deal with complex organizational opportunities and problems efficiently and effectively through adequate data analysis.

Andressa received B.S. in Statistics and M.S. in Applied Mathematics and Statistics from the Federal University of Rio Grande do Norte, and Ph.D. in Statistics from the University of São Paulo (2019).

Bio Carla

Carla A Vivacqua is a full professor in the Statistics department at the Federal University of Rio Grande do Norte, Brazil. She is currently on sabbatical leave to work on the project “The Big Data and Climate FRONTIER: making sense of the explosive increase in climate data through smart designs and big data methods” at the Norwegian Research Centre (NORCE). Her main research areas are: design of experiments and statistical methods applied to various fields, including education, energy, petroleum engineering, industry, and health.

Carla received B.S. in Statistics from the National School of Statistical Sciences, M.S. in Statistics from the State University of Campinas, and M.S. and Ph.D. in Industrial Engineering  from the University of Wisconsin-Madison (2003).

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