Provided by:
IMT
From:
Altro PhD (Institutions, Markets and Technologies)
Sede:
IMT
Lecturers:
Massimo RICCABONI
Semester:
2
Hours:
20
Exam:
Y
Educational Goals:
The aim of this course is to teach students how to produce a research paper in economics and management using hands-on supervised machine learning tools for different data structures. We will bridge the gap between applications of methods in published papers and practical lessons for producing your own research. After introductions to up-to-date illustrative contributions to literature, students will be asked to perform their own analyses and comment results after applications to microdata provided during the course. The objective is to develop a critical understanding of the iterative research process leading from real economic data to the choice of the best tools available from the analyst kit. Final scores will be based 50% on individual presentations of a selected supplemental reading and 50% on an individual homework.
