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Sport Informatics and Analytics by Mind Map: Sport Informatics and Analytics
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Sport Informatics and Analytics

Welcome to this open online resource. We have structured the resource with four themes. We encourage you to explore this resource in whatever way interests you. The Introductions theme provides a context for the course and we recommend that you start with this theme. Thank you for finding us.

Pattern Recognition

This theme has three components: systematic observation; supervised learning; and making sense of data (big pictures, small pieces). We have a data set for you to use in a supervised learning task. We have links to other data sets too if you would like to explore these. We hope that this theme encourages careful consideration of patterns of performance that are the essence of Informatics and Analytics approaches.

Systematic Observation

Machine Learning

Big Pictures, Small Pieces

Audiences and Messages

This theme has three topics: augmented information; visualisation; and personal learning environments. Each of them requires sensitivity to audiences and messages. Each enables us to reflect on the people, perspectives, products and processes discussed in the course.

Augmented Information


Personal Learning Environments

Performance Monitoring

This theme has three components: a background to performance monitoring; wearable technologies and video tracking. Developments in wearable technologies have transformed our understanding of performance. This theme discusses some of the technological platforms available and shares examples of their use.


Wearable Technologies

Video and Motion Tracking


This theme explores our approach to open sharing in and through this course. We present an overview of people, perspectives, products and processes. We draw attention to the Informatik tradition and its links with Informatics. We introduce the emerging field of Sport Analytics.

Informatik, Informatics

Sport Analytics

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