AIMS AND CONTENT

LEARNING OUTCOMES

The course aims at providing the main statistical tools for transportation data analysis. The main topics are primary data collection (survey methodologies), sampling, analysis of variance and regression. Part of the course will be dedicated to the use of statistical software.

AIMS AND LEARNING OUTCOMES

The course aims to provide students with an overview of the main tools for market analysis, demand forecasting and the construction of statistical models. The application context will cover real cases of analysis in support of business decisions in the field of maritime passenger transport. The course will be carried out entirely in the computer lab to provide students with specific skills in the management and analysis of datasets, including large ones. The exercises will be carried out using the most common software for data management and statistical analysis (Excel, R and STATA).

At the end of the course the student will be able to:

planning and analysing the results of a sample survey aimed at measuring the satisfaction of a transport service;
managing and analysing company data for market segmentation;
build statistical models.
The course also aims to provide students with the basic knowledge necessary to make them autonomous in the study and subsequent use of the most advanced statistical methodologies.

RECOMMENDED READING/BIBLIOGRAPHY

Notes from the lessons and materials made available on Aulaweb

Biggeri L., Bini M., Coli A., Grassini L., Maltagliati M. (2012) Statistica per le decisioni aziendali, Pearson.

Washington S.P., Karlaftis M.G., Mannering F.L. (2011) Statistical and econometric methods for transportation data analysis. Chapman&Hall.

Mazzocchi M., Statistics for marketing and consumer research, Sage.

TEACHERS AND EXAM BOARD

Exam Board

LUCA PERSICO (President)

ENRICO DI BELLA

CORRADO LAGAZIO

EXAMS

Exam schedule