- 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)
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
R for Data Science, Garrett Grolemund and Hadley Wickham https://r4ds.had.co.nz/
Metodi Statistici per la Sperimentazione Biologica, A. Camussi, F. Möller, E. Ottaviano, M. Sari Gorla, Zanichelli, II edizione, 1995.
Lecture notes-
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.
Office hours
See the website of Assimo Maris