Program Overview

CUSTOMS DATA ANALYTICS LAB

Course Description

The CUSTOMS DATA ANALYTICS LAB course aims to provide students with the technical skills required to support research in economics, particularly in the management, processing, and reporting of analyses on large-size administrative statistical sources. The course focuses on the economic interpretation of results, with an application context concerning the analysis of data on import/export flows of goods handled by Italian Customs Offices, emphasizing the maritime mode of transport.

Learning Outcomes

At the end of the course, students will be able to:

• Set up research in the economic field
• Select the data needed for research purposes
• Manage and analyze large datasets
• Report on the analysis carried out, understanding the economic meaning of the results obtained

Teaching Methods

The laboratory involves a participatory learning activity focused on designing an exploratory and predictive analysis of customs data, carried out in small groups. Students will:

• Formulate original analytical hypotheses based on real data
• Identify relevant variables and design customized indicators
• Develop a descriptive or predictive analysis project using software tools such as R and Excel
• Collaborate within the group to carry out the project
• Present and discuss the results, receiving feedback from the instructor and peers

Syllabus/Content

The course will cover the analysis of data on import/export flows of goods handled by Italian Customs Offices, with a focus on the maritime mode of transport. This includes studying one of the most relevant components of the Italian balance of trade, defining maritime trade flows of each Port Authority, identifying commodity chains that insist on a geographical area, and studying the maritime hinterland of a port.

Recommended Reading/Bibliography

All materials are provided by the teacher.

Teachers and Exam Board

• Teacher: Luca Persico
• Exam Board:
  • Luca Persico (President)
  • Claudio Ferrari
  • Alessio Tei

Lessons

Lessons Start

Second semester

Class Schedule

The timetable for this course is available on the Portale EasyAcademy.

Exams

Exam Description

The exam will take place in oral form through the discussion of a previously assigned written paper.

Assessment Methods

The assessment of the knowledge acquired will take place through a practical test on the computer and the discussion of a paper (thesis) assigned.

Exam Schedule

Agenda 2030 - Sustainable Development Goals

• Quality education
• Decent work and economic growth
• Industry, innovation and infrastructure

OpenBadge

• SOFT SKILLS - Creazione progettuale avanzato 1 - A
• SOFT SKILLS - Creazione progettuale base 1 - A