Analyses Toolbox

2018-2019

Course Objective

The 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 Content

The 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
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 ended
and multiple choice questions, and an presentation based on analysis in
R.

General Information

Course Code P_BANATB
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
B.M.L. Baselmans

Practical Information

You need to register for this course yourself

Teaching Methods Practical