University of Brescia, Department of Economics and Management, Italy
The aim of the school is to provide an overview of statistical methods and models useful for the analysis of sports data. Topics will include a variety of methodological approaches and applications, in line with the research interests and expertise of the lecturers.
The school is intended for PhD students, young researchers, and practitioners with an interest in statistical methods applied to sports. The program will include both theoretical lectures and hands-on sessions, fostering interaction and discussion.
Scientific and Organizing Committee
Coordinators: Marica Manisera and Paola Zuccolotto, BDsports, University of Brescia, Italy
Eugenio Brentari, University of Brescia, Italy
Maurizio Carpita, University of Brescia, Italy
Leonardo Egidi, University of Trieste, Italy
Ambra Macis, University of Brescia, Italy
Lecturers
Andreas Groll, TU Dortmund University, Germany
Dimitris Karlis, Athens University of Economics and Business, Greece
Christophe Ley, University of Luxembourg, Luxembourg
Marica Manisera, University of Brescia, Italy
Ioannis Ntzoufras, Athens University of Economics and Business, Greece
Paola Zuccolotto, University of Brescia, Italy
University of Torino, Department of Economics and Statistics, Italy
18 November 2020
Organizers: Luca Malfatti and Gianluca Rosso
Teachers: Paola Zuccolotto and Marica Manisera (University of Brescia), Demis Cavina (Head Coach Basket Torino)
Contents: Basketball and data: applications and methodological issues.
Athens University of Economics and Business, Greece
25-28 November 2019
Organizers: Ioannis Ntzoufras and Dimitris Karlis
Teacher: Marica Manisera, University of Brescia
Contents (12 hours): the R package BasketballAnalyzeR to perform basic and advanced statistical analyses on basketball data, also with reference to recent scientific papers and research
Politecnico di Torino, 2nd Level Master in Sports Engineering
21-22 January 2019
Teachers: Paola Zuccolotto and Marica Manisera, University of Brescia
Contents (10 hours): Sport performance analysis, sports data, statistical methods and algorithms to measure performance in sports, focus on multivariate data analysis applied on basketball data
