Vrije Universiteit Amsterdam
Amsterdam, The Netherlands
Area of Study
Computer Info Systems, Information Sciences
Taught In English
Course Level Recommendations
ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.
Recommended U.S. Semester Credits3
Recommended U.S. Quarter Units4
Hours & Credits
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.
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.
Interactive lectures and practicals.
TYPE 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.
Courses and course hours of instruction are subject to change.
Some courses may require additional fees.