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DTSTART:20180101T000000
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BEGIN:VEVENT
DTSTART;VALUE=DATE:20191125
DTEND;VALUE=DATE:20191129
DTSTAMP:20260423T184757
CREATED:20191018T122046Z
LAST-MODIFIED:20191018T122046Z
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SUMMARY:Short course on Basketball Data Science
DESCRIPTION:Short course on BASKETBALL DATA SCIENCE by Dr. Marica Manisera (University of Brescia) Saw20117 \nAUEB Sports Analytics Group announces a short course on \nBASKETBALL DATA SCIENCE\nby Dr. Marica Manisera (University of Brescia) \nDAY 1\n14.15-17.00 Monday 25/11/2019 (AUEB New Building\, Room T102\, 1st Floor)\nLecture 1\n***   Data science in basketball\n***   Basketball analytics: state of the art\n***   Basketball data\n***   Introduction to the R package BasketballAnalyzeR \nDAY 2\n14.15-17.00 Tuesday 26/11/2019 (AUEB New Building\, Room T102\, 1st Floor)\nLecture 2\n***   Basic statistical analyses using BasketballAnalyzeR (1/2)\n***   Pace\, Ratings\, Four Factors\n***   Graphical representations\n***   Variability analysis\n***   Inequality analysis \n​DAY 3\n15.15-18.00 Wednesday 27/11/2019 (AUEB Postgraduate Building\, Room 609\, 6th Floor)\nLecture 3\n***   Basic statistical analyses using BasketballAnalyzeR (2/2)\n***   Shot charts\n***   Discovering Patterns in data \nDAY 3\n15.15-18.00 Thursday 28/11/2019 (AUEB Postgraduate Building\, Room 901\, 9th Floor)\nLecture 4\n***   Finding groups in data\n***   Assignment of exercises to solve \nBibliography \nPaola Zuccolotto and Marica Manisera\, Basketball Data Science. With Applications in R. CRC Press\, forthcoming. \nMarco Sandri\, Paola Zuccolotto\, and Marica Manisera (2019). BasketballAnalyzeR: an R package for the analysis of basketball\ndata. https://github.com/sndmrc/BasketballAnalyzeR \nMarco Sandri\, The R package BasketballAnalyzeR\, in: Zuccolotto P. and Manisera M.\, Basketball Data Science\, forthcoming\,\nChapter 6. \nMarica Manisera\, Marco Sandri and Paola Zuccolotto (2019)\, BasketballAnalyzeR: the R package for basketball\nanalytics. Proceedings of the Conference Smart Statistics for Smart Applications (SIS 2019)\, Università Cattolica del Sacro Cuore\, Milan\, 19st-21st June 2019\, 395 – 402. \nCourse Details\nThe Course will be limited to 40 people. Register here: https://aueb-analytics.wixsite.com/saw2019/registration \n​All participants must bring their own laptops fully charged with R and  the R package BasketballAnalyzeR already installed. \nHow to install it: https://bdsports.unibs.it/basketballanalyzer/\nFor any problem\, please write to basketball.analyzer.help@gmail.com
URL:https://www.euro-online.org/websites/orinsports/event/short-course-on-basketball-data-science/
LOCATION:AUEB\, Athens\, Greece
CATEGORIES:Workshop
ATTACH;FMTTYPE=image/jpeg:https://www.euro-online.org/websites/orinsports/wp-content/uploads/sites/10/2016/12/Athens_Blog.jpg
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DTSTART;VALUE=DATE:20191125
DTEND;VALUE=DATE:20191127
DTSTAMP:20260423T184757
CREATED:20191018T121653Z
LAST-MODIFIED:20191018T121653Z
UID:647-1574640000-1574812799@www.euro-online.org
SUMMARY:4th AUEB Sports Analytics Workshop
DESCRIPTION:AUEB Sports Analytics Group announces the 4th AUEB Sports Analytics Workshop (AUEB SAW2019) \n​which will be hosted at Athens University of Economics and Business (Greece) and it is organized by AUEB Sports Analytics Group\, the Computational and Bayesian Statistics Lab and the\nthe Department of Statistics from Monday 25th of November to Tuesday 26th of November 2019. \nThe workshop is also accompanied by a short course on BASKETBALL DATA SCIENCE (25-28 November 2019). \nTopics include:\n***   Mathematical and physical models in sports\n***   Performance measures and models\n***   Optimisation of sports performance\n***   Statistics and probability models\n***   Match outcome models\n***   Competitive strategy\n***   Game theoretical models\n***   Optimal tournament design and scheduling\,\n***   Decision support systems\n***   Econometrics in sport\n***   Analysis of sporting technologies\n***   Computationally intensive methods\n***   Financial valuation in sport \nConfirmed Speakers\n***   Measuring spatial performance in basketball by CART  by Marica Manisera\, University of Brescia\n***   Comparing statistical models and machine learning algorithms in predicting football outcomes  by Leonardo Egidi\, University of Trieste\n***   Do football spectators like or hate dynasties?  by Stefan Kesenne\, Emeritus Professor\, University of Leuven\, Belgium\n***   Why is the market of professional football not a free-entry market?  by Stefan Kesenne\, Emeritus Professor\, University of Leuven\, Belgium\n***   A Unified Bayesian Model for Volleyball by Ioannis Ntzoufras\, AUEB\, Greece\n***   When the next goal will occur? A Bayesian Survival Analysis Approach in Football  by  Ilias Leriou\, AUEB\, Greece​​\n***   Dimitris Karlis\, AUEB\, Greece​​\n***   Panos Repoussis\, University of Athens\, Greece​​\n***   Walter Sebastian Gisler\, GotSoccer\, USA\n***   Christos Marmarinos\, University of Athens\, Greece​​\n***   Vasileios Armatas\, University of Athens\, Greece​​\n***   Sotiris Drikos\, AUEB Sports Analytics Group\, Greece​​\n***   Vasileios Manasis\, AUEB Sports Analytics Group\, Greece​​\n***   Maria Gkouma\, Next Mile Ltd\, Greece \nA very limited number of contributed talks will be accepted until 4 of November 2019. Please send email at ntzoufras@aueb.gr. \nDetails can be found in the AUEB SAW2019 webpage: https://aueb-analytics.wixsite.com/saw2019\, and the\nfacebook event page: https://www.facebook.com/events/401637693840002/ (Workshop) & https://www.facebook.com/events/547639902660364/(Short Course) \nEarly registration by 4 of November 2019 at https://aueb-analytics.wixsite.com/saw2019/registration
URL:https://www.euro-online.org/websites/orinsports/event/4th-aueb-sports-analytics-workshop/
LOCATION:AUEB\, Athens\, Greece
CATEGORIES:Conferences
ATTACH;FMTTYPE=image/jpeg:https://www.euro-online.org/websites/orinsports/wp-content/uploads/sites/10/2016/12/Athens_Blog.jpg
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