- Docente: Marco Bittelli
- Credits: 5
- SSD: AGR/02
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Bologna
- Corso: Second cycle degree programme (LM) in Planning and Management of Forest Territory, Landscape and Environment (cod. 6068)
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from Sep 16, 2025 to Dec 16, 2025
Learning outcomes
At the end of the course, the student will be able to correctly plan an agro-environmental experiment and to analyze the collected data. The studenti will also hve the tools to statistically interpret the relationships between the measured parameters.
Course contents
Section 1. R programming language, Install R and RStudio, Set up a work session, Create basic objects and functions on R. Recognize and create basic structures, objects and functions, Create vectors, matrices, arrays, lists, dataframes, Convert objects in R, Use logical operators, Use conditional statements or control structures, Create functions, Load files on R, Manipulate vectors, matrices, datasets. Manage missing values, Manage duplicate data, Manipulate dates, Use some functions for basic statistics, Create simple graphs with basic functions, Create graphs with ggplot2.
Section 2. Statistical applications. Basic statistics, probability, probability distributions, descriptive statistics, linear and nonlinear models, inferential statistics, hypothesis testing, analysis of variance.
Readings/Bibliography
Notes written and provided by the teacher.
Teaching methods
The course will be integrated with the programs of the course Sensitivity and Vulnerability of the Water-Soil System (66105) through the statistical analysis of data collected during the practical exercises of the course. The student will be provided with real data of case studies on which to develop the necessary analytical and statistical skills for a complete development of environmental and territorial studies.
Assessment methods
Written exam in class and oral after passing the written one.
Teaching tools
During the course, for each topic presented, real data obtained from different case studies will be provided. The data will be analyzed with R codes written and provided by the teacher. The course is strongly oriented to provide students with the computer tools in R for statistical analysis.
Office hours
See the website of Marco Bittelli