- Docente: Assimo Maris
- Credits: 6
- SSD: CHIM/02
- Language: Italian
- Teaching Mode: Traditional lectures
- Campus: Ravenna
- Corso: Second cycle degree programme (LM) in Environmental Assessment and Management (cod. 5900)
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from Oct 27, 2023 to Feb 02, 2024
Learning outcomes
Knowledge of the main topics of analysis and modelling of univariate, bivariate and multivariate data.
Course contents
Elements of data engineering
Descriptive statistics
Learning methods
Elements of inferential statistics
Fundamentals of programming in R
Readings/Bibliography
- Data Science e Machine Learning: dai Dati alla Conoscenza
Michele di Nuzzo - Data Science. Guida ai Principi e alle Tecniche Base della Scienza dei Dati
Sinan Ozdemir - Statistica per Data Science con R
Enrico Pegoraro - R for Data Science
Garrett Grolemund - Hadley Wickham - Metodi Statistici per la Sperimentazione Biologica
Alessandro Camussi, Frank Möller, Ercole Ottaviano, Mirella Sari Gorla
Zanichelli, II edizione, 1995
Teaching methods
Classroom lectures and practical computer sessions.
As concerns the teaching methods of this course unit, all students must attend Module 1, 2 on Health and Safety online:
Assessment methods
Computer-practical and oral examination.
Teaching tools
Blackboard (lectures and exercises) and video-projector.
Computational laboratory practicals
Lecture notes.
Students who need compensatory tools because of disabilities or specific learning disorders (SLD) can contact:
to agree on the adoption of the most appropriate measures.
Office hours
See the website of Assimo Maris
SDGs
This teaching activity contributes to the achievement of the Sustainable Development Goals of the UN 2030 Agenda.