Learning objectives
The main objective of the course is to provide students with the best
practices to record scientific data in an orderly fashion,
efficiently calculate the main descriptive parameters and
prepare summary graphs.
Students will learn to use a simple but powerful programming language,
its constituent elements and various expansion and customization capabilities.
Prerequisites
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Course unit content
# Introduction to R
* Advantages over other statistical packages
* Variables (vectors, matrices, arrays, data frame, list)
* Functions
* Control structures
* Graphics
Full programme
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Bibliography
Online lecture notes written by the teacher are available.
Teaching methods
training session in the computer lab
Assessment methods and criteria
The learning will be assessed through a practical exam at the end
of the course. Students will be asked to analyze
real data and prepare summary graphs.
It will thus be verified both the ability to learn and the ability to learn application ("applied knowledge and understanding") and also the ability to present and communicate scientific data
Other information
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2030 agenda goals for sustainable development
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