Sport Informatics and Analytics/Course outline

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Sport Informatics and Analytics

The topics included this course are:

• Introduction
  • Course description.
  • Course themes.
  • Course aim and learning outcomes.
  • Course assessment (ePortfolio).
  • Course assessment questions.
  • Web resources.

• Course content
  • Introductions (Theme 1).
  • Pattern recognition (Theme 2).
  • Performance monitoring (Theme 3).
  • Audiences and messages (Theme 4).
  • Compile and submit Introductory ePortfolio.
  • Ethical issues (Theme 1).
  • The quantified self (Theme 3).
  • Using R (Theme 2).
  • Python (Theme 2).
  • Structured Query Language (SQL) (Theme 2)
  • Visualising data (Theme 4).
  • Compile and submit Developmental ePortfolio.
  • Feedforward (Theme 4).
  • Communities of practice (Theme 1).
  • Knowledge discovery (Theme 2).
  • Informatics and analytics (Themes 1, 2, 3, and 4).
  • Refine, complete and submit Final ePortfolio.