Sport Informatics and Analytics/ Outline

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Sport Informatics and Analytics

The course includes the following subtopics.

• Introduction
  • Start here
  • Course themes
  • Course aim and learning outcomes
  • Course assessment (ePortfolio)
  • Course assessment questions (ePortfolio)
  • Web resources
• Course content
  • Introductions
    • Overview
    • Informatik and informatics
    • Sport Analytics
    • Video signpost
    • Resources
    • Introductory activities
    • ePortfolio questions
    • References
  • Pattern recognition
    • Overview
    • Video signpost
    • Resources
    • Theme activities
      • Reading about pattern recognition, machine learning and artificial neural networks
      • Data science, machine learning, artificial intelligence and intelligence augmentation
      • Examples from sport contexts
    • Data discussions
    • ePortfolio questions
    • References
  • Performance monitoring
    • Overview
    • Video signpost
    • Resources
    • An introduction to performance monitoring
    • Case studies
    • Athlete management systems
    • Resources
    • ePortfolio questions
    • ePortfolio task
    • References
  • Audiences and messages
    • Overview
    • Augmented information
    • Sharing insights
    • Video signpost
    • Resources
    • ePortfolio questions
    • References
  • Ethical issues
    • Introduction
    • Epistemic culture
    • Reading about ethical issues
    • ePortfolio activity
    • References
  • The Quantified Self
    • Introduction
    • Quantifying performance
    • Meta reviews
    • The quantified self
    • Resources
    • Global positioning system
    • Case studies
    • Transparency
    • Reflections
    • References
  • Using R
    • Introduction
    • Learning about R
    • Using R in sport contexts
    • Visualising data with R
    • R as an ePortfolio resource
    • References
  • Python
    • Introduction
    • Learning Python
    • Using Python in sport contexts
    • References
  • Visualising data
    • Introduction
    • Visualisation
    • Graphical perception
    • Examples
    • Exploring visualisations
    • References
  • Feedforward
    • Introduction
    • Feedforward
    • Mental time travel
    • Activity
    • References
  • Communities of practice
    • Introduction
    • Communities of practice in sport
    • Thriving communities
    • References
  • Knowledge Discovery
    • Introduction
    • Sport examples
    • References
  • Informatics and Analytics
    • Introduction
    • Connecting learners with open resources
    • Pattern recognition
    • Monitoring performance
    • Audiences and messages
    • Twenty-four questions
      • Theme 1: Introduction
      • Theme 2: Pattern recognition
      • Theme 3: Performance monitoring
      • Theme 4: Audiences and messages
    • Thank you
    • References