The overall aim of the course is to provide students with a comprehensive overview of how the energy industry in modern economies is organized and the way it is impacted by energy and climate policies, with particular reference to the case of the European Union and its Green Deal.
The course aims to offer not only theoretical classes, where the basics of energy economics and policy are presented by the instructor, but also insights from people working in the sector. To ensure this objective, a few seminars with external speakers will be organised in the final weeks of the course.
At the end of the course, students are expected to have a good understanding of how energy markets work and how the choices of policymakers and regulators influence their functioning and evolution. Students will be able to critically analyse the most relevant trends occurring in the energy industry and discuss the implications and challenges posed by technological development, changes in consumer preferences, and public policies and regulation, including the policy goal of achieving net-zero greenhouse gas emissions over the next few decades.
- Teacher: NICOLÒ ROSSETTO
- Teacher: ROBERTO FONTANA
- Teacher: MARCELLA GIOVANNA MARIA NICOLINI
Il corso fornisce agli studenti le competenze tecniche necessarie per condurre analisi statistiche ed econometriche avanzate utilizzando R, un software open-source potente e flessibile, e la sua interfaccia grafica RStudio.
Il programma del corso si articola attraverso i seguenti pilastri fondamentali:
-Introduzione a R e sintassi di base: Apprendimento dei fondamenti del linguaggio, dalla gestione degli oggetti (scalari, vettori, matrici e liste) alla struttura dei data frame.
- Manipolazione dei dati con il Tidyverse: Utilizzo della collezione di pacchetti `tidyverse` (come `dplyr`, `tidyr` e `stringr`) per pulire, trasformare e unire database complessi, inclusa l'estrazione di dati reali da fonti ufficiali come Eurostat
-Stima di modelli di regressione lineare (`lm`), gestione di errori standard robusti e a grappolo, stime con variabili strumentali (IV) e introduzione all'analisi delle serie storiche.
-Creazione di visualizzazioni professionali e di alta qualità tramite `ggplot2` e generazione di tabelle eleganti per report scientifici con il pacchetto `gt`.
-Introduzione ai modelli geografici vector e raster, utilizzando i pacchetti `sf` e `terra` per manipolare geometrie complesse (punti, linee e poligoni) e dati satellitari.
- Teacher: MICHELE MAURIZIO MALPEDE
Development Economics
- Teacher: MARIA ANNA LEONE
The course is an interdisciplinary introduction to the emerging science of complex networks and their applications. Topics to be covered include the mathematics of networks (graph theory), data analysis, and applications to economics, sociology, finance, and other fields. Students will learn about the ongoing research in the field, and ultimately apply their knowledge to conduct their own analysis of a real network data set of their choosing as part of the final project.
- Teacher: ALESSANDRO SPELTA