05027nam 22007215 450 991084249810332120250310143735.09783662683132366268313X10.1007/978-3-662-68313-2(CKB)30763929200041(MiAaPQ)EBC31200693(Au-PeEL)EBL31200693(MiAaPQ)EBC31203803(Au-PeEL)EBL31203803(DE-He213)978-3-662-68313-2(EXLCZ)993076392920004120240305d2024 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierComputer Science in Sport Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data /edited by Daniel Memmert1st ed. 2024.Berlin, Heidelberg :Springer Berlin Heidelberg :Imprint: Springer,2024.1 online resource (247 pages)9783662683125 3662683121 Includes bibliographical references and index.I HISTORY -- History -- II DATA -- Artificial data -- Text data -- Video data -- Event data -- Position data -- Online data -- III MODELING -- Modeling -- Predictive models -- Physiological modeling -- IV SIMULATION -- Simulation -- Metabolic simulation -- Simulation of physiological adaptation processes -- V PROGRAMMING LANGUAGES -- An introduction to the programming language R for beginners -- Phyton -- VI DATA ANALYSIS -- Logistic Regression -- Time Series Data Mining -- Process Mining -- Networks Centrality -- Artificial Neural Networks -- Deep Neural Networks -- Convolutional Neural Networks -- Transfer Learning -- Random Forest -- Statistical learning for the modeling of soccer matches -- Open-Set Recognition -- VII VISUALIZATION -- Visualization – Basics and Concepts -- VIII OUTLOOK -- Outlook. .In recent years, computer science in sport has grown extremely, mainly because more and more new data has become available. Computer science tools in sports, whether used for opponent preparation, competition, or scientific analysis, have become indispensable across various levels of expertise nowadays. A completely new market has emerged through the utilization of these tools in the four major fields of application: clubs and associations, business, science, and the media. This market is progressively gaining importance within university research and educational activities. This textbook aims to live up to the now broad diversity of computer science in sport by having more than 30 authors report from their special field and concisely summarise the latest findings. The book is divided into four main sections: data sets, modelling, simulation and data analysis. In addition to background information on programming languages and visualisation, the textbook is framed by history and an outlook. Students with a connection to sports science are given a comprehensive insight into computer science in sport, supported by a didactically sophisticated concept that makes it easy to convey the learning content. Numerous questions for self-testing underpin the learning effect and ensure optimal exam preparation. For advanced students, the in-depth discussion of time series data mining, artificial neural networks, convolution kernels, transfer learning and random forests offers additional value. The Editor Prof. Dr Daniel Memmert is the executive director and professor at the Institute of Exercise Training and Sport Informatics at the German Sport University Cologne. He is the editor and author of numerous textbooks with a focus on exercise science, sports psychology and informatics. His institute organises two certificate programmes (Game Analysis Team Cologne / Sports Director in Youth and Amateur Soccer) as well as the first international Master's degree programme "Match Analysis".Sports sciencesRecreationEquipment and suppliesArtificial intelligenceData processingMedical informaticsQuantitative researchSport ScienceSport AnalyticsSport TechnologyData ScienceHealth InformaticsData Analysis and Big DataSports sciences.RecreationEquipment and supplies.Artificial intelligenceData processing.Medical informatics.Quantitative research.Sport Science.Sport Analytics.Sport Technology.Data Science.Health Informatics.Data Analysis and Big Data.796.07Memmert DanielMiAaPQMiAaPQMiAaPQBOOK9910842498103321Computer Science in Sport4235856UNINA01225nam0 22002771i 450 UON0049621920231205105354.21320190702d1958 |0itac50 baspaES|||| |||||ˆLa ‰epica francesa y el tradicionalismoCatedra Mila y Fontanals, lecciones profesadas los dias 10, 11 y 12 de febrero de 1958Ramon Menendez PidalBarcelonaUniversidad de Barcelona, Facultad de Filosofía y Letras195890 p.20 cm.Dono Prof. Alberto Varvaro.IT-UONSI F. Varvaro2188EpicaStudiUONC063870FIESBarcelonaUONL003004840Letteratura francese22Menéndez PidalRamónUONV116015384516Universidad de BarcelonaUONV272765650ITSOL20250704RICASIBA - SISTEMA BIBLIOTECARIO DI ATENEOUONSIUON00496219SIBA - SISTEMA BIBLIOTECARIO DI ATENEOSI F. Varvaro2188 SI 30655 7 Dono Prof. Alberto Varvaro.Epica francesa y el tradicionalismo1557007UNIOR