In the last decade, technical and technological progress has given way to a real revolution in science, thanks to the increased ability to obtain huge amounts of data at a speed and resolution previously unthinkable. This 'big-data revolution' makes the knowledge of adequate IT and analytical tools capable of using this amount of information essential. In this context, knowledge of programming languages is a must in any researcher's portfolio.

In this course we will explore the basics of one of the most used languages for data management and analysis in the biological and ecological fields, R. The course will be divided into theoretical/practical lessons, combining the study of R with references to basic statistics and basics of statistics advanced.
The course aims to provide basic concepts of computer science and programming in R language useful for: • dealing with and managing the innovation introduced by ICT technologies; • support study and research in the field of science with particular attention to biological and ecological sciences; • understand the principles of programming;

Expected learning outcomes
At the end of the training activity the student will have: understood the functioning of computers, learned to use tools for the manipulation of large amounts of biological, ecological and environmental data, known the fundamentals of programming and developed programs in R.
The acquired knowledge will be useful to be able to use computers to develop programs in R for the processing of biological, ecological and environmental data.
The knowledge acquired will allow students to independently explore the concepts and technologies illustrated during the course and to use the programs of interest for data analysis with greater awareness.
Communication skills The student will acquire an appropriate technical language and will be able to transmit electronic documents.
Learning skills The student will be able to understand the technological innovations and their potential in "big-data analysis" in the biological, ecological and environmental fields.