This unit applies advanced knowledge of the methods used to holistically monitor the dose-response relationship of athletes. Students will gain critical insight into the theory and application of athlete monitoring systems including weable and optical tracking systems, athlete self-report systems, and performance testing. Students will use a programming environment to interact with and analyse real-world athlete monitoring data, and interpret the information gathered from these data to inform decisions about athlete management.

Learning outcomes

On successful completion of this unit, students will be able to:
1. Critically evaluate different methods and systems used to monitor the dose-response relationship in athletes;
2. Apply advanced knowledge of evidence-based principles of athlete monitoring;
3. Manage and analyse athlete monitoring data using a programming environment; and
4. Interpret and effectively communicate information gathered from athlete monitoring data.

Graduate attributes

1. UC graduates are professional - communicate effectively
1. UC graduates are professional - display initiative and drive, and use their organisation skills to plan and manage their workload
1. UC graduates are professional - employ up-to-date and relevant knowledge and skills
1. UC graduates are professional - take pride in their professional and personal integrity
1. UC graduates are professional - use creativity, critical thinking, analysis and research skills to solve theoretical and real-world problems
1. UC graduates are professional - work collaboratively as part of a team, negotiate, and resolve conflict
2. UC graduates are global citizens - adopt an informed and balanced approach across professional and international boundaries
2. UC graduates are global citizens - behave ethically and sustainably in their professional and personal lives
2. UC graduates are global citizens - communicate effectively in diverse cultural and social settings
2. UC graduates are global citizens - make creative use of technology in their learning and professional lives
2. UC graduates are global citizens - think globally about issues in their profession
2. UC graduates are global citizens - understand issues in their profession from the perspective of other cultures
3. UC graduates are lifelong learners - adapt to complexity, ambiguity and change by being flexible and keen to engage with new ideas
3. UC graduates are lifelong learners - be self-aware
3. UC graduates are lifelong learners - evaluate and adopt new technology
3. UC graduates are lifelong learners - reflect on their own practice, updating and adapting their knowledge and skills for continual professional and academic development

Prerequisites

None.

Corequisites

None.

Incompatible units

None.

Equivalent units

None.

Assumed knowledge

It is assumed that students will have a functional knowledge of computer systems, allowing them to download and install software, browse the internet and access the course website. It assumed that students will have some experience using programming languages (such as R or Python) for data science. Some introductory programming material and resources will be provided.