Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.
Beskrivning
In recent years, computer science in sport has grown extremely, mainly because more and more new data has become available. 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.
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".
Innehållsförteckning
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.