Audience
Target audience
- Researchers in computer science/mathematics/signal processing.
- Researcher in motion science/sport, professional in sport.
Prerequisites
Knowledge of automated data analysis (data mining, machine learning) will facilitate the understanding of the methods introduced, but is not essential. Each thematic session will introduce the concepts necessary to understand the rest of the course. A good sports culture is essential.
Expected results
- Transfer of methods and techniques: participants will encounter the state of the art in large-scale sports data analysis.
- Community building: the school will give participants the opportunity to meet other researchers with similar interests, but different perspectives.
- Research development support: to allow analysts to open up to sports data and athletes to move towards automating the analysis of their data.
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