Overview

This unit explores contemporary data analytic and technology-based approaches to assess and monitor the health, well-being and performance data of individuals and teams. With an applied, practical focus, students will develop skills across industry-standard technology and digital-based solutions to collect, analyse and visualise data to inform evidence-based decision making across sport and exercise contexts.

Requisites

Prerequisites
SPH20010 Fundamental Principles of Biomechanics
SPH10011 Introduction to Research in Exercise Science

Pre-requisite rules
SPH20010 Fundamental Principles of Biomechanics

and

SPH10011 Introduction to Research in Exercise Science

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 1
Location
Hawthorn
Start and end dates
02-March-2026
31-May-2026
Last self-enrolment date
15-March-2026
Census date
31-March-2026
Last withdraw without fail date
21-April-2026
Results released date
07-July-2026

Unit learning outcomes

Students who successfully complete this unit will be able to:
 

  1. Appraise the efficacy and appropriateness of technology and digital-based solutions to subjectively and objectively monitor health, wellbeing and performance.
  2. Critically evaluate contemporary measures and their supporting evidence to tailor the design of effective solutions to monitor the health, wellbeing and performance of individuals and teams across a range of sport and exercise contexts.
  3. Apply technology and digital-based approaches in an ethical and appropriate manner to collect and interpret data to optimise performance and well-being.
  4. Formulate effective communication strategies to synthesise and visualise complex datasets, including the selection and application of appropriate software to support decision-making to address user needs.

Teaching methods

Hawthorn

Type Activity Total Hours Number of Weeks Hours Per Week Venue Type and Activity Detail
Online Lecture 12 12 weeks 1 Asynchronous lecture
On-campus Lab 36 12 weeks 3  
Specified Activities Various 48 12 weeks 4 A combination of online activities, including: (a) assignment preparation tasks, (b) specified readings to support knowledge development, (c) preparation of data; (d). data analysis; (e) online discussion and related online learning tasks.
Unspecified Activities Independent Learning 54 12 weeks 4.5  
Total Hours: 150 Total Hours (per week): 12.5  

Assessment

Type Task Weighting ULO's
e-Portfolio Individual  30%  1,2,4
Assignment 1 Group  30%  2,3,4
Applied Project Individual/Group  40%  1,2,3,4 

Content

  • Video analysis for sports performance
  • Athlete monitoring systems and other frameworks applied to monitor health, well-being and performance
  • Application of foundational exercise and sports science knowledge to inform evidence-based selection of performance metrics
  • Data analytics, interpretation and visualisation of health and performance data tailored to user needs
  • Responsible and appropriate use of technology for monitoring and assessing performance and well-being of individuals and/or teams
  • Validity, reliability and ethical use of technology and digital-solutions used to monitor health and performance
  • Critically evaluate different software packages and technologies
  • Graduate Attribute 1 (Communication Skills: Verbal communication)
  • Graduate Attribute 2 (Communication Skills: Communicating using different media)
  • Graduate Attribute 3 (Teamwork Skills: Collaboration and negotiation)
  • Graduate Attribute 4 (Teamwork Skills: Teamwork roles and processes)
  • Graduate Attribute 5 (Digital Literacies: Information literacy)
  • Graduate Attribute 6 (Digital Literacies: Technical literacy)

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.