## Mathematics for Research: a Refresher Course with R

The workshop “Mathematics for Research: a Refresher Course with R” is designed to repeat mathematical knowledge which is required for the understanding and the application of recent developments in statistical data reduction techniques. The course covers the fundamentals of Mathematics (functions, linear algebra, calculus and optimization), focusing on the understanding of the concepts. Instead of pursuing a formal approach this workshop will help the participants to familiarize themselves with ...

Show the whole text
The workshop “Mathematics for Research: a Refresher Course with R” is designed to repeat mathematical knowledge which is required for the understanding and the application of recent developments in statistical data reduction techniques. The course covers the fundamentals of Mathematics (functions, linear algebra, calculus and optimization), focusing on the understanding of the concepts. Instead of pursuing a formal approach this workshop will help the participants to familiarize themselves with what we consider as essential and useful mathematical knowledge. Thus, one aim of this workshop is to remove the commonly experienced uncertainty when researchers are dealing with mathematical concepts and expositions in their research.

An important part of this workshop is the active use of the open-source statistical programming language R. Since its introduction in the nineties, R has become a de-facto standard for statistical computing. As such, this workshop combines communicating mathematical concepts with an introduction and the active application of R, both of which are taught in an innovative parallel format.

The course sessions basically comprise two continuously alternating parts: the “theoretical part” covers the mathematical explanations while the “applied part” re-elaborates and reinforces the theoretical part by actively using R. In this way, the workshop lays the foundations for advanced empirical research methodology by covering the theoretical background as well as providing an insight into R.

###
**1** attendees
*(***None** invited)