Delivered study plan 2023/2024

The PhD in 2023/2024 included two terms of intensive courses organized by the PhD in collaboration with the Doctoral School in Economics and with other PhD programs at Sapienza.

The FIRST TERM, November-January, includes the following basic courses, with indication of the curricula for which they are compulsory, the teacher and the number of hours:
- Statistics | Prof. Geraci | 16 hours | Cv: GeoStat, MatStat
- Applied Econometrics | Prof. Di Stefano-Mattera | 15 hours | Cv: GeoStat, MatStat
- Mathematics | Prof. Palestini | 10 hours | Cv: MatStat
- Mathematical Finance | Prof. Ceci | 18 hours | Cv: MatStat
Those PhD students that are already familiar with the contents of I term courses (see the syllabi) may ask, via their tutor, to be exempted.

The SECOND TERM, February-May, includes the following compulsory and optional courses:
- Key Texts & Thinkers in Economic Geography | Prof. Di Feliciantonio (coord.) | 15 hours | Cv: GeoStat (compulsory)
- Economic Geography Seminars | Prof. Celata (coord.) | 20 hours | Cv: GeoStat (compulsory)
- Qualitative Research Methods | Prof. Di Feliciantonio | 10 hours | Cv: GeoStat (compulsory)
- Spatial Data Visualization Analysis & Mapping | Prof. Celata-Corona-Martellozzo-Salvati | 20 hours | Cv: GeoStat (compulsory)
- Spatial Econometrics | Prof. Martini | 15 hours | Cv: GeoStat (compulsory)
- Data sources and indication theory | Prof. Salvati | 8 hours | Cv: GeoStat (compulsory), MatStat (optional)
- Multivariate Statistics with R | Prof. Deliu-Liseo | 20 hours | Cv: GeoStat (optional), MatStat (compulsory)
- Computational Tools for Statistics | Prof. Arcagni | 15 hours | Cv: GeoStat (optional), MatStat (compulsory)
- Missing Values in Data Mining | Prof. Vitale | 12 hours | Cv: GeoStat (optional), MatStat (optional)
- Computational Tools for Finance | Prof. Martire | 15 hours | Cv: MatStat (compulsory)
- Fractional Calclulus | Prof. Frezza | 10 hours | Cv: MatStat (compulsory)
- Financial Risk Modeling and Forecasting Using Quantile Regression | Prof. Merlo-Foroni | 12 hours | Cv: MatStat (compulsory)
- Publication Strategies & Academic Writing | Prof. Celata-Bianchi-Salvati-Filippetti-Di Feliciantonio-Incelli | hours | Cv: GeoStat (compulsory), MatStat (compulsory)

The SECOND TERM includes also the following compulsory and optional courses, organized by other PhD programme in Sapienza:
- Casual Inference with Spatial Data | Prof. Sciabolazza (PhD SESS) | 12 hours | Cv: GeoStat (compulsory)
- Public Policy Analisys | Prof. d'Albergo-Moini (PhD DiSSE) | 10 hours | Cv: GeoStat (optional)
- Methods of Evaluation and Microeconometrics | Prof. Cerqua-Natticchioni-Belloc (PhD DiSSE) | 20 hours | Cv: GeoStat (compulsory), MatStat (optional)
- Advanced Evaluation Methods | Prof. Cerqua (PhD DiSSE) | 10 hours | Cv: GeoStat (optional), MatStat (optional)
- Technological Change | Prof. Guarascio (PhD Economics) | 20 hours | Cv: GeoStat (optional)
- Poverty/Development economics | Prof. Montalbano et al | 15 hours | Cv: GeoStat (optional)
Students can also agree with their tutors to attend to any other advanced/PhD course organized in Sapienza or elsewhere.

All courses are in presence and attendance is compulsory.
The overall length of courses is approximately 200 hours.

The SYLLABUS for each course is available at the page 'study plan' in the right column in pdf format.

Participants are required to register to the courses they attend using the following form: https://forms.gle/MBypq4gLZxvVgXiB7

The CALENDAR for the courses is at this link: https://calendar.google.com/calendar/embed?src=c_ae114819945439554e3d5294d662b7b114f89199f0134ba62c619d456a2013e9%40group.calendar.google.com&ctz=Europe%2FRome

© Università degli Studi di Roma "La Sapienza" - Piazzale Aldo Moro 5, 00185 Roma