L'offerta formativa si svolge prevalentemente al primo anno da novembre a maggio.
Consiste in corsi obbligatori e opzionali organizzati su base annuale o biennale, laboratori e cicli di seminari, in alcuni casi comuni ai due curriculum. Tutti i corsi sono in inglese.
Giorni, orari e aule sono nel calendario al link CALENDARIO CORSI nella colonna destra.
I syllabus dei corsi sono nella colonna destra.
In caso di informazioni mancanti si prega di contattare i docenti.
Corsi al I TERM
CURRICULUM DI GEOGRAFIA ECONOMICA E STATISTICA TERRITORIALE |
CORSI OBBLIGATORI
Statistical Modelling| Teacher: Geraci
Number of hours: 16 | Period: 2026, 7-27 Jan | Type: Ex-cathedra
The aim of this course is to examine the theory and applications of conditional
modelling. The first half of the course covers the main inferential principles and
methods, including likelihood, computation, and key asymptotic results, as well as the
widely used family of generalized linear models. The second half addresses non-
standard situations that require alternative approaches. Real data examples will be
illustrated using the R language
Applied Econometrics | Teacher: Di Stefano-Mattera
Number of hours: 14 | Period: 13 Jan-4 Feb| Type: Ex-cathedra
The course aims to provide a solid introductory foundation in econometrics theory both considering cross-sectional data and time series analyses. It will present conceptual and practical tools, instrumental in the field of regional and territorial analysis on one hand and economic and financial forecasting on the other hand. During the classes, we will use the R software.
CURRICULUM DI GEOGRAFIA ECONOMICA E STATISTICA TERRITORIALE | CORSI OPZIONALI
Programming with Python| Teacher: Arcagni
Number of hours: 18 | Period: 2025, 17-27 Nov | Type: Ex-cathedra
Basics: Python basics, imperative and procedural programming, data structures, object oriented programming. Main packages: numpy: mathematics, scipy: numerical computation et al., pandas: data analysis. sqlite3: databases and data manipulation, declarative programming, matplotlib: basic graphical representation, seaborn: beautiful graphics. Algorithms:simulations, optimization, solving equations, numerical integration.
Public Policy Analysis (PhD DiSSE) | I Term | Teachers: d’Albergo, Moini, et al. | Number of hours: 10 | Period: January 2026 | Type: Ex-cathedra.
Publication Strategies & Academic Writing | I Term | Teachers: Celata, Salvati, Bianchi, Filippetti, Di Feliciantonio, Incelli | Number of hours: 8 | Period: Jan-Feb 2026 | Type:Seminars
CURRICULUM DI MODELLI E METODI MATEMATICI E STATISTICI PER L’ECONOMIA E LA FINANZA | CORSI OBBLIGATORI
Programming with Python| Teacher: Arcagni
Number of hours: 18 | Period: 2025, 17-27 Nov | Type: Ex-cathedra
Basics: Python basics, imperative and procedural programming, data structures, object oriented programming
Main packages: numpy: mathematics, scipy: numerical computation et al., pandas: data analysis
sqlite3: databases and data manipulation, declarative programming, matplotlib: basic graphical representation, seaborn: beautiful graphics
Algorithms:simulations, optimization, solving equations, numerical integration
Mathematical Finance | Teacher: Ceci
Number of hours: 18 | Period: 2026, 14-27 Jan | Type: Ex-cathedra
The course aims to provide the tools of probability and continuous-time stochastic processes necessary to deal with the most used mathematical models in finance. It will focus on stochastic calculus for diffusion and jump-diffusion processes and their applications in finance. In particular, hedging and pricing of derivatives will be discussed.
Statistical Modelling| Teacher: Geraci
Number of hours: 16 | Period: 2026, 7-27 Jan | Type: Ex-cathedra
The aim of this course is to examine the theory and applications of conditional
modelling. The first half of the course covers the main inferential principles and
methods, including likelihood, computation, and key asymptotic results, as well as the
widely used family of generalized linear models. The second half addresses non-
standard situations that require alternative approaches. Real data examples will be
illustrated using the R language
Publication Strategies & Academic Writing | I Term | Teachers: Celata, Salvati, Bianchi, Filippetti, Di Feliciantonio, Incelli | Number of hours: 8 | Period: Jan-Feb 2026 | Type:Seminars
CURRICULUM DI MODELLI E METODI MATEMATICI E STATISTICI PER L’ECONOMIA E LA FINANZA |CORSI OPZIONALI
Mathematics | Teacher: Palestini
Number of hours: 14 | Period: 5 Nov-10 Dec | Type: Ex-cathedra
Functions of several variables: Domain of the functions of 2 real variables, level curves, first order partial derivatives, stationary point and their nature, optimization problems with applications in Microeconomics. Differential equations: Ordinary differential equations, basic methods of integration, qualitative analysis on the plane. Dynamical systems: Stationary points, time elimination method, solution curves.
Applied Econometrics | Teacher: Di Stefano-Mattera
Number of hours: 14 | Period: 13 Jan-4 Feb| Type: Ex-cathedra
The course aims to provide a solid introductory foundation in econometrics theory both considering cross-sectional data and time series analyses. It will present conceptual and practical tools, instrumental in the field of regional and territorial analysis on one hand and economic and financial forecasting on the other hand. During the classes, we will use the R software.