BEGIN:VCALENDAR VERSION:2.0 PRODID:-//CERN//INDICO//EN BEGIN:VEVENT SUMMARY:Blended Intensive Programme (BIP): Advanced Sports Analytics DTSTART;VALUE=DATE-TIME:20250907T220000Z DTEND;VALUE=DATE-TIME:20250913T215900Z DTSTAMP;VALUE=DATE-TIME:20260410T211413Z UID:indico-event-102@cern.ch DESCRIPTION:Composition Partnership\n\n1. Università degli Studi di Napol i Federico II\, Italy (Coordinator and Host Institution)\n2. Instituto Pol itécnico de Viana do Castelo\, Portugal  (Co-host Institution)\n3. IE Un iversity\, Spain (sending institution)\n4. International school for social and business studies\, Slovenia (sending institution)\n5. Technische Univ ersität Dortmund\, Germany (sending institution)\n6. Technische Universit ät München\, Germany(sending institution)\n7. Athens University of Econ omics and Business\, Greece (sending institution)\n\n \n\nTopic of the p rogram\n\nThis course offers an in-depth exploration of sports analytics\, focusing on the application of data science and machine learning techniqu es to sports data. The programme aims to provide analytical skills to crea te\, manage and interrogate large datasets applicable to or derived from t he sports industry. Participants will learn to analyse and interpret compl ex data structures\, develop predictive models and understand team and pla yer performance\, strategy and the business of sport. In addition a set of programming tools will facilitate the implementation of models and enable participants to analyse decision-making processes.\n\nThis course provide s the analytical requirements of a sports management programme. It is aime d at all students interested in data science as well as sports analysts an d stakeholders. \n\nAt the end of the BIP\, participants will be able to:  \n-Improve their ability to build empirical models and implement them th rough specification\, estimation and simulation using the R package.\n- Ga in an understanding of basic statistical concepts and their applications i n the world of sport.\n- Develop proficiency in data collection\, cleaning \, and analysis.\n- Obtain a broad overview of the methods used in the acq uisition\, processing\, analysis\, visualisation and implementation of spo rts data.\n- Understand the role of analytics in sports decision-making\n\ n \n\nSchedule description\n\na. Description of the physical component\n\ nThe course consists of one week in presence (8 September - 13 September 2025) organised as described below.\n\nFace-to-face: 6 days\n\n--------- --------------------------------------------------------------------\n\nSe ptember 8\, 2025\n\n\n Full day\n \n Lecture: Social Network Analysis: int roduction with sport example\n \n Main topics: Introduction to Network Ana lysis\, Graph Theory and Visualization\, Descriptive and Inferential Metho ds\, Software Tools: R Packages and Pajek\, Applications of Network Analys is in Sports. \n\n\n------------------------------------------------------ -----------------------\n\nSeptember 9\, 2025\n\n\n Morning\n \n Lecture: Modeling and Prediction of Match Outcomes \n \n Main topics: Modeling and Predicting Match Outcomes\, Generalized Linear Models (GLMs)\, Regression and Classification Trees (CARTs)\, Random Forests for Sports Analytics\, A pplications to Football\, Handball\, and Tennis.\n  \n Evening\n \n Labor atory lectures – supervised tutorial\n\n\n----------------------------- ------------------------------------------------\n\nSeptember 10\, 2025\n\ n\n Morning\n \n Lecture: Injury Analytics\n \n Main topic: Sports injury prevention\, Risk injury modelling.\n  \n Evening\n \n Summary\, feedback \, alternative methods\, wrap-up\n\n\n------------------------------------ -----------------------------------------\n\nSeptember 11\, 2025\n\n\n Mor ning\n \n Lecture: Latent variable models in sport surveys analytics\n \n Main topics: Latent variables\, Classical Test Theory\, Item Response Theo ry\, IRT models for polytomous items\n  \n Evening\n \n Lecture: Double P oisson Models\n \n Main topics: Game strategy and tactics analysis\, Playe r performance evaluation\, Team dynamics and performance metrics\, Interna l and external load quantification for Load Management\n\n\n-------------- ---------------------------------------------------------------\n\nSeptemb er 12\, 2025\n\n\n Morning\n \n Lecture: Methods for dimension reduction a nd clustering in Sport Analytics\n \n Main topics: Clustering mixed type n ominal/ordinal/interval data\, Joint dimension reduction and clustering. S upervised and unsupervised learning.\n  \n Evening\n \n Laboratory lectur es – supervised tutorial\, individual and team work\n\n\n--------------- --------------------------------------------------------------\n\nSeptembe r 13\, 2025\n\nGroup Workshop & Collaborative Activities\n\n\n Informal gr oup work and reflection sessions\; Peer exchange on project outcomes and l earning experiences\; Cross-cultural interaction and networking activities \; Social engagement and farewell gathering\n\n\nThese activities are desi gned to foster team collaboration\, consolidate the learning outcomes of t he in-person week\, and strengthen intercultural exchange among participan ts.\n\n------------------------------------------------------------------- ----------\n\nOctober 20\, 2025\n\n\n 9:30 - Welcome address by instituti onal representatives\n  \n 9:45 - Introduction: Maria Iannario\, BIP co ordinator\n  \n 9:50 - "Advanced regression to handle varying dispersio n when modeling anxiety in volleyball"\n Moritz Berger\, Group Leader\, Ce ntral Institute of Mental Health\, Mannheim\n  \n 10:30 - Presentation of results from BIP participants\n  \n 11:30 - "Introduction to Basketb all Analytics: How to Start with Data-Driven Decisions"\n Christos Marmari nos\, Basketball Coach / Sacramento Kings Int’l Scout\n  \n 12:40 - " Sports\, Data\, and Society: A Statistical Perspective"\n Michele Gallo an d Lucio Palazzo\, University of Naples L'Orientale\n  \n 13:10 - Conclu ding remarks: Maria Iannario\n\n\n\nb. Description of the virtual componen t \n\nThe course includes 4 virtual sessions (Live virtual sessions) orga nised as follows:\n\n----------------------------------------------------- ------------------------\n\nSeptember 3\, 2025\n \n\n\n 10:00 - Welcome and introductions by the academic partners to greet the students.\n  \n 1 0:20 - “Transforming Coaching: Data Science for Practical Applications to Sports Performance Analysis.” \n Sotirios Drikos\, Assistant Profess or\, Didactics and Theory of Training in Volleyball\, National and Kapodis trian University of Athens\, School of Physical Education and Sport Scienc e\n  \n 11:20 - “Performance analysis in sports: Physical assessment a nd monitoring.”\n Rui Miguel Silva\, Professor Adjunto Convidado\, Insti tuto Politécnico de Viana do Castelo\, Portugal\n\n\n-------------------- ---------------------------------------------------------\n\nSeptember 4\, 2025 - The Quarto authoring tool\n\n\n 10:00 - Main topics: Introducti on to the Quarto Authoring Tool. Multilingual Computation: R\, Python\, Ju lia\, Observable JavaScript (hints). Output Formats: HTML\, MS Word\, and PDF. Types of Quarto Reports: Embedded Code\, External Code\, Parametric R eports.\n\n\n------------------------------------------------------------- ----------------\n\nOctober 10\, 2025 - Quarto dashboards\n\n\n 10:00 - M ain topics: Introduction to Quarto for Reporting and Visualization. Buildi ng Interactive Dashboards with Quarto. Integrating R Code and Output into Dashboards. Customizing Layouts and Themes. Exporting and Sharing Dashboar ds for Sports Analytics.\n\n\n\n\n\n \n\nPractical information\n\n- Level of students: Master and PhD students\n\n- Number of ECTS: 3 \n\n- Main l anguage of instruction/training: English\n\n- Venue of Activities (City\, Institution): Naples\, Department of Political Sciences\, University of Na ples Federico II (Statistics Laboratory and G4 room)\n\nOpen Badge has bee n associated with our program\, providing a digital recognition of the ski lls and achievements gained through participation.\nFurther details at: ht tps://bestr.it/badge/show/4685?ln=en\nhttps://bestr.it/project/show/229?ln =en \n\nCourse information\, main materials used by BIP Faculty and profe ssionals will be available at: https://indico.unina.it/e/bip25\n\nIn addi tion\, a tutor will be available for each participant during the training period (weekly online mentorship from Sport Analytics experts) and a dedic ated programme manager provided by BIP Faculty will be available virtually . These figures will act as support in the learning and skills development phase.\n \n\nhttps://indico.unina.it/event/102/ LOCATION:Naples University of Naples Federico II URL:https://indico.unina.it/event/102/ END:VEVENT END:VCALENDAR