- Docente: Vincenzo Iannuzzi
- Crediti formativi: 6
- SSD: SECS-S/01
- Lingua di insegnamento: Inglese
- Modalità didattica: Convenzionale - Lezioni in presenza
- Campus: Bologna
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Corso:
Laurea Magistrale in
Scienze e gestione della natura (cod. 6774)
Valido anche per Campus di Ravenna
Laurea Magistrale in International Cooperation on Human Rights and Intercultural Heritage (cod. 9237)
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dal 02/10/2025 al 15/01/2026
Conoscenze e abilità da conseguire
By the end of the course, the student will learn the main statistical methods to deal with ecological, economical and social data, both using univariate and multivariate approaches. The student will have the capacity to deal with the practical applications of several statistical methods to real world cases and data.
Contenuti
Theory: Introduction to statistics, probability and distributions, univariate statistics and related tests, bivariate statistics, multivariate statistics
Practice: statistical analysis with R
Testi/Bibliografia
´P. Daalgard. “Introductory statistics with R”. Springer, 2008.
´G. Cicchitelli, P. D'Urso, M. Minozzo (2021) "Statistics - Principles and Methods", first edition. Pearson, 2021.
Metodi didattici
Theory lessons and use of the R software
Modalità di verifica e valutazione dell'apprendimento
The final exam is composed by two parts:
- Written test aimed at verifying the general theory behind the studied statistical methods: 1-hour, multiple choice and open questions test.
- Practical project aimed at verifying R knowledge. The practical project will be provided by the students as a PDF file presenting a discussion of the procedures and results. Students will have one week from the time the assignment is given to complete it and send it to me by email.
The written test and the practical project will each account for 50% of the final grade.
Strumenti a supporto della didattica
Slides and R software.
Slides covering the topics discussed will be provided at the end of each lesson.
Orario di ricevimento
Consulta il sito web di Vincenzo Iannuzzi