Manzi Giancarlo
Associate Professor
SSD
SECS-S/01 - STATISTICS
Competition sector
13/D1 - STATISTICS
Research fields and competencies
Contacts
Workplace
Office phone number
Additional phone numbers
University email address
Office hours
Wednesday 2.30PM-5.30PM (appointment suggested, via Teams). Office hours on Wednesday Sept 29, 2021 will start at 2PM and end at 3.15PM. From Wednesday October 5, 2021, they will resume the normal time 2.30PM-5.30PM.
Office
Room 37, 3rd Floor (due to sanitary emergency office hours in person are suspended - Office hours will be held via Teams)
Teaching - Programme courses
Bachelors and masters
A.Y. 2021/2022
A.Y. 2020/2021
A.Y. 2019/2020
A.Y. 2017/2018
A.Y. 2016/2017
Postgraduate programmes
A.Y. 2021/2022
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. 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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Modeling provincial Covid-19 epidemic data using an adjusted time-dependent sird model / L. Ferrari, G. Gerardi, G. Manzi, A. Micheletti, F. Nicolussi, E. Biganzoli, S. Salini. - In: INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH. - ISSN 1661-7827. - 18:12(2021 Jun 18). [10.3390/ijerph18126563]
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CoViD-19, learning from the past : A wavelet and cross-correlation analysis of the epidemic dynamics looking to emergency calls and Twitter trends in Italian Lombardy region / B.A. Rivieccio, A. Micheletti, M. Maffeo, M. Zignani, A. Comunian, F. Nicolussi, S. Salini, G. Manzi, F. Auxilia, M. Giudici, G. Naldi, S. Gaito, S. Castaldi, E. Biganzoli. - In: PLOS ONE. - ISSN 1932-6203. - 16:2(2021 Feb 25), pp. e0247854.1-e0247854.20.
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Smart Visualization of Mixed Data / A. Grané, G. Manzi, S. Salini. - In: STATS. - ISSN 2571-905X. - 4:2(2021), pp. 472-485.
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Are Epidemiological Estimates Able to Describe the Ability of Health Systems to Cope with COVID-19 Epidemic? / S. Castaldi, E. Luconi, B. Alessandro Rivieccio, P. Boracchi, G. Marano, E. Pariani, L. Romano', F. Auxilia, F. Nicolussi, A. Micheletti, G. Manzi, S. Salini, M. Galli, E. Biganzoli. - In: RISK MANAGEMENT AND HEALTHCARE POLICY. - ISSN 1179-1594. - 14(2021), pp. 2221-2229.
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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.