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Course Description
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Course Name
Analyses Toolbox
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Host University
Vrije Universiteit Amsterdam
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Location
Amsterdam, The Netherlands
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Area of Study
Computer Science, Information Studies
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Language Level
Taught In English
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Course Level Recommendations
Upper
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.
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ECTS Credits
6 -
Recommended U.S. Semester Credits3
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Recommended U.S. Quarter Units4
Hours & Credits
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Overview
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.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.
Course Disclaimer
Courses and course hours of instruction are subject to change.
Some courses may require additional fees.