The course consists of a general discussion of the main concepts in economics and innovation management, equipping students with the minimum competence to comprehend how a firm is structured and managed and the basics of innovation strategy.
The course is intended to familiarize students with the use of code and softwares such as MS Excel in data analysis for economic and financial applications.
An applied course on Econometrics and Machine Learning, covering statistical learning, model validation, advanced algorithms, and hands-on implementation in R and Python.
A course exploring the economic and industrial transformations driven by new space infrastructures, with a focus on market trends, business models, and sectoral applications.