General Information
Course Code | P_BANATB |
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Credits | 6 EC |
Period | P1 |
Course Level | 300 |
Language of Tuition | English |
Faculty | Fac. of Behavioural and Movement Science |
Course Coordinator | M.G. Nivard |
Examiner | M.G. Nivard |
Teaching Staff |
M.G. Nivard dr. B.M.L. Baselmans |
Practical Information
You need to register for this course yourself
Teaching Methods | Practical |
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Course Objective
The open-source programming language and environment R is quicklybecoming 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 Content
The course provides a general introduction into data handling, datavisualization, 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
magnetic resonance
imaging tissue classification, and for genome-wide association studies.
Teaching Methods
Interactive lectures and practicals.Method of Assessment
The grade will be based on a written exam which contains both open endedand multiple choice questions, and an presentation based on analysis in
R.