Manzi Giancarlo
Associate Professor
SSD
SECS-S/01 - STATISTICS
Competition sector
13/D1 - STATISTICS
Research fields and competencies
Vocational Master Coordinator
Contacts
Workplace
Office phone number
Additional phone numbers
University email address
Office hours
Wednesday 2.30PM-5.30PM (appointment suggested, via Teams)
Office
Room 37, 3rd Floor (due to sanitary emergency office hours in person are suspended)
Teaching - Programme courses
Bachelors and masters
A.Y. 2020/2021
A.Y. 2019/2020
A.Y. 2017/2018
A.Y. 2016/2017
A.Y. 2015/2016
Postgraduate programmes
A.Y. 2020/2021
Doctoral programme (PhD)
1st level vocational master
- Computational statistics and machine learning (Data Science for Economics, businesses and finance)
2nd level vocational master
- Data mining and statistical learning (Master Cybersecurity)
A.Y. 2019/2020
Doctoral programme (PhD)
2nd level vocational master
- Data mining and statistical learning (Master Cybersecurity)
A.Y. 2018/2019
2nd level vocational master
- Elements of computational statistics and statistical learning (Master Data Science for Economics Business and Finance)
Research
Publications
Publications
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Monitoring emergency calls and social networks for covid-19 surveillance. To learn for the future: The outbreak experience of the lombardia region in Italy / S. Castaldi, M. Maffeo, B.A. Rivieccio, M. Zignani, G. Manzi, F. Nicolussi, S. Salini, A. Micheletti, S. Gaito, E. Biganzoli. - In: ACTA BIO-MEDICA DE L'ATENEO PARMENSE. - ISSN 0392-4203. - 91:9-S(2020 Jul), pp. 29-33.
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Are health indicators able to describe the ability to cope of Health Systems with COVID-19 epidemic? / S. Castaldi, E. Luconi, B.A. Rivieccio, P. Boracchi, G. Marano, E. Pariani, L. Romano', F. Auxilia, F. Nicolussi, A. Micheletti, G. Manzi, S. Salini, M. Galli, E.M. Biganzoli. - (2020 Jun 16).
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Modeling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model / L. Ferrari, G. Gerardi, G. Manzi, A. Micheletti, F. Nicolussi, E. Biganzoli, S. Salini. - (2020 Jun 02).
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Analysis of Sustainability Propensity of Bike-Sharing Customers Using Partially Ordered Sets Methodology / P. Maranzano, R. Ascari, P.M. Chiodini, G. Manzi. - In: SOCIAL INDICATORS RESEARCH. - ISSN 0303-8300. - (2020 Apr 15). [Epub ahead of print]
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Analyzing the waiting time of academic publications: a survival model = Un modello di sopravvivenza per i tempi di accettazione delle pubblicazioni accademiche / F. De Battisti, G. Gerardi, G. Manzi, F. Porro - In: 50th Scientific Meeting of the Italian Statistical Society / [a cura di] A. Pollice, N. Salvati, F. Schirripa Spagnolo. - [s.l] : Pearson, 2020. - ISBN 9788891910776. - pp. 1430-1435 (( Intervento presentato al 50. convegno Scientific Meeting of the Italian Statistical Society tenutosi a Pisa nel 2020.