Sport Informatics and Analytics/ Outline

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