Course ObjectiveThe open-source programming language and environment R is quickly
becoming the working language for data analysis and visualization in the
social and other sciences. In this course, the student will learn how to
use this freely available software.
Course ContentThe course provides a general introduction into data handling, data
visualization, statistical analysis, and programming in R. This
introduction is supported by lectures, practicals and self-study
assignments. In addition, application showcases will be provided in the
form of self-study assignments. These showcases illustrate how to apply
R during all phases of a research project and in a context relevant to
the students. In particular, the student will learn how to apply R for
imaging tissue classification, and for genome-wide association studies.
Teaching MethodsInteractive lectures and practicals.
Method of AssessmentThe grade will be based on a written exam which contains both open ended
and multiple choice questions, and an presentation based on analysis in
|Language of Tuition||English|
|Faculty||Fac. of Behavioural and Movement Science|
|Course Coordinator||M.G. Nivard|
dr. B.M.L. Baselmans
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