Overview

This unit examines the contemporary methods for understanding performance analysis for individual and team sports, monitoring athlete, healthy or clinical populationshealth, exercise and physical activity. This is a practically focussed unit where students will develop their skills using video analysis software, GPS, apps and other technology used in the exercise and sports science industry.

Requisites

Prerequisites
SPH30012 Performance Analysis

Rule

200 credit points in BA-ESS

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
26-February-2024
26-May-2024
Last self-enrolment date
10-March-2024
Census date
31-March-2024
Last withdraw without fail date
12-April-2024
Results released date
02-July-2024

Learning outcomes

Students who successfully complete this unit will be able to:

  • Develop skills in instrumentation, equipment and software used for monitoring and assessing athlete and population-level wellbeing, exercise and physical activity, including sub elite and high-performance athletes
  • Critically evaluate different instrumentation, equipment and software packages used for performance analysis
  • Demonstrate knowledge of a multi-disciplinary approach to working in sporting environments
  • Use data to communicate to individuals, athletes, coach or other members of a multi-disciplinary team

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
Online
Lecture
1.00 12 weeks 12
On-campus
Lab
3.00 12 weeks 36
Specified Activities
Various
4.00 12 weeks 48
Unspecified Activities
Independent Learning
4.50 12 weeks 54
TOTAL150

Assessment

Type Task Weighting ULO's
AnalysisIndividual 30% 2,3,4 
Assignment 1Group 35% 1,2,3,4 
Assignment 2Individual 35% 1,2,3,4 

Content

  • Video analysis for sports performance
  • Data analytics, interpretation of data for the writing of reports for coaches, athletes and individuals
  • Application of human physiology and anatomy, functional anatomy, exercise physiology, sport psychology, biomechanics, motor learning and control knowledge
  • Core instrumentation for monitoring and assessment of individuals or teams
  • Analyse data to inform decision making on exercise prescription, load monitoring, recovery and games
  • Validity and reliability of assessment tools
  • Critically evaluate different software packages
  • Graduate Attribute 2 (Communication 2 - Communicating using different media)
  • Graduate Attribute 3 (Teamwork 1 - Collaboration and negotiation)
  • Graduate Attribute 4 (Teamwork 2 - Teamwork roles and processes)
  • Graduate Attribute 5 (Digital Literacies 1 - Information literacy)
  • Graduate Attribute 6 (Digital Literacies 2 - Technical literacy)

Study resources

Reading materials

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