ID:
149017-ENG
Dettaglio:
SSD: #NULL#
Duration: 24
CFU: 3
Located in:
BERGAMO
Url:
ECONOMICS AND DATA ANALYSIS - 149-R-EN/PERCORSO COMUNE Year: 1
Year:
2025
This course aims to strengthen the transversal skills required in advanced economic study and in professional environments where the ability to analyze data, synthesize information, and communicate results is essential. Students will develop a methodical approach to economic problems by learning how to interpret heterogeneous datasets, use generative artificial intelligence in an informed and responsible manner, and apply basic GIS tools to produce spatial variables and thematic maps relevant for empirical research. They will also acquire the ability to organize and manage bibliographic references through academic databases and LaTeX tools, ensuring rigor and reproducibility in scholarly writing. In addition, the course trains students to structure and deliver clear and effective oral presentations, adapting language, content, and visual support to different types of economic communication. Overall, the course supports the growth of problem-solving skills, analytical autonomy, and the capacity to integrate digital tools, including AI systems, GIS software, and bibliographic managers, into a coherent workflow for research and professional practice.
No prerequisites
Mainly lectures
Students are required to demonstrate adequate knowledge of the topics covered in the course through the completion of a group assignment.
To meet the intended learning objectives, the course offers an overview of:
· Historical and scientific origins of generative artificial intelligence, with focus on Large Language Models (LLMs) and related chatbots; informed use of LLMs as tools to support individual learning and data analysis also in disciplinary domains that are initially unfamiliar to the students.
· Basics of GIS and its use in economic research; vector and raster data; coordinate systems and map creation principles. Practical QGIS lab: linking spatial and tabular data, producing thematic maps, and constructing spatial indicators for empirical analysis.
· Introduction to bibliographic research in economics and to proper citation practices; main databases and citation styles. Practical LaTeX lab: using BibTeX/biblatex to organize bibliographic entries, insert citations in the text, and automatically generate reference lists.
· Organization of slide contents to support oral presentations; appropriate language choices for different types of economic presentations.
We recommend to enroll in the e-learning page of the course.