99107 - SCIENZA DEI DATI PER L'AMBIENTE

Academic Year 2022/2023

  • 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: 

https://www.unibo.it/en/services-and-opportunities/health-and-assistance/health-and-safety/online-course-on-health-and-safety-in-study-and-internship-areas

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