- Docente: Stefano Gandolfi
- Credits: 4
- Language: Italian
- Moduli: Stefano Gandolfi (Modulo 1) Gigliola Spadoni (Modulo 2)
- Teaching Mode: In-person learning (entirely or partially) (Modulo 1); In-person learning (entirely or partially) (Modulo 2)
- Campus: Bologna
- Corso: First cycle degree programme (L) in Environmental Engineering (cod. 0928)
Course contents
First 20 Hours:
Classification of different types of uncertainty present in
the measurements
Description of the three types of uncertainty (systematic,
gross, random)
Densitiy probability function (Examples)
Centrality parameters (mean, mode, median)
Dispersion parameters (Variance, moments of different
orders)
Study of the uncertainties of random nature.
Normal Gaussian distribution, standard normal
distribution
Regression line estimation using Least square approach
Correlation coefficient definition
Second 20 Hours:
Introduction to issues of environmental data in the
applications of Environmental Engineering: - Elements related to
their acquisition and their use - extensive and intensive variables
for the characterization of emissions and state of the
environment.
Teaching methods
Frontal lessons and some numerical practice examples using
different data samples.
Teaching tools
Any basic textbook concerning statistical methods for data analysis
is sufficient.
The teacher give the lesson slides trought the AMS Campus
Unibo Web Page.
Office hours
See the website of Stefano Gandolfi
See the website of Gigliola Spadoni