HSE727 - Time and Motion Analysis of Sport Performance
Unit details
| Year | 2027 unit information |
|---|---|
| Enrolment modes | Trimester 3: Online |
| Credit point(s) | 1 |
| EFTSL value | 0.125 |
| Unit chair | Trimester 3: Kris Veugelers and Dan Dwyer |
| Prerequisite | Nil |
| Corequisite | Nil |
| Incompatible with | Nil |
| Educator-facilitated (scheduled) learning activities - online unit enrolment | Online independent and collaborative learning activities including 5 scheduled online seminars. |
| Typical study commitment | Students will on average spend 150 hours over the teaching period undertaking the teaching, learning and assessment activities for this unit. |
Content
This unit builds on the knowledge and skills taught in the introductory unit, HSE726 Sport Performance Analysis, by developing a deeper understanding of the Performance Analysis process. Students will learn how to interrogate databases of performance data, using data visualisation and statistical analysis methods. This unit also explores the technology and methods used for time-motion analysis and explores advances in Performance Analysis technology. Finally, students are provided with the opportunity to integrate all of their Performance Analysis knowledge in a capstone assessment, by designing a comprehensive plan for the implementation of a Performance Analysis service.
Learning outcomes
| ULO | These are the Unit Learning Outcomes (ULOs) for this unit. At the completion of this unit, successful students can: | Alignment to Deakin Graduate Learning Outcomes (GLOs) |
|---|---|---|
| ULO1 | Describe the Performance Analysis process and use it as a design and self-assessment tool. | GLO1: Discipline-specific knowledge and capabilities |
| ULO2 | Define and explain the current methods of Time-Motion analysis that can be used to measure and evaluate the activity and performance of athletes. | GLO1: Discipline-specific knowledge and capabilities |
| ULO3 | Design a comprehensive performance analysis system and create a plan for its implementation. | GLO1: Discipline-specific knowledge and capabilities |
| ULO4 | Complete a time-motion analysis and provide an interpretation of the results. | GLO1: Discipline-specific knowledge and capabilities |
| ULO5 | Critically evaluate the most common limitations of Performance Analysis systems, their implications and potential mitigation strategies. | GLO1: Discipline-specific knowledge and capabilities |
| ULO6 | Use data visualisation software to interrogate a database in order to answer questions and discover information that is relevant to performance. | GLO1: Discipline-specific knowledge and capabilities |
Note – From 2026, Deakin commenced introducing Graduate Attributes (GAs), which define the distinctive characteristics of a Deakin graduate. You may notice some units still refer to Graduate Learning Outcomes (GLOs) during this transition period.
Assessment
| Assessment description | Student output | Grading and weighting (% total mark for unit) | Indicative due week |
|---|---|---|---|
| Assessment 1: Time-Motion Analysis Design | Written assignment 2000 words | 40% |
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| Assessment 2: Interpretation of Time-Motion Analysis Data | Written assignment 1500 words | 30% |
|
| Assessment 3: Data Visualisation | Written assignment 1500 words | 30% |
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The assessment due weeks provided may change. The Unit Chair will clarify the exact assessment requirements, including the due date, at the start of the teaching period.
Learning resource
There is no prescribed text. Unit materials are provided via the unit site. This includes unit topic readings and references to further information.
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Unit fee information
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