Contributed Paper C253
In session C7G (Wednesday 11th, 9:30-10:30, Level 2 - AV Study Room)You R, so you are !
Presenter
Koo Rijpkema (the Netherlands)Abstract
Until recently, commercially available software packages for statistical analysis were the norm. However, a real revolution is taking place nowadays: software R, freely available and supported by an active community is becoming increasingly important. This cannot remain without consequences for our way of teaching, as other skills will be needed and other techniques come within reach. To prepare our engineering students for this we have integrated the use of R and R Commander in our service courses Statistics and Design of Experiments for several years now. From the experiences gained we have developed best practices for deploying community-supported open source software and have developed a course "Data Analysis 2.0", incorporating principles of blended learning. They will be discussed during this presentation.