XNB370 Performance Analysis


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Unit Outline: Semester 2 2024, Kelvin Grove, Internal

Unit code:XNB370
Credit points:12
Pre-requisite:XNB271 and XNB272 and XNB273
Coordinator:Geoffrey Minett | geoffrey.minett@qut.edu.au
Disclaimer - Offer of some units is subject to viability, and information in these Unit Outlines is subject to change prior to commencement of the teaching period.

Overview

This unit is designed to integrate knowledge from the core areas of exercise science (exercise physiology, biomechanics, motor control and functional anatomy) and apply them to analysing sports performance. An ever-increasing range of quantitative information about human performance is available, including training and workload data, individual motion and kinematics, competition results. Extracting key information from this data to support decision-making is an increasingly important process, whether in optimising training, talent identification, or tracking performance in sport; informing clinical and rehabilitation decisions following injury, or in more specialised settings in exercise and movement science research. A key component will be utilising available technology to collect the data, analyse the data and make sense of the data to the athletes and coaches.

Learning Outcomes

On successful completion of this unit you will be able to:

  1. Identify key performance variables for a broad range of activities in sport;
  2. Demonstrate knowledge of the use of contemporary performance analysis tools and techniques to monitor sports performance;
  3. Collect, import, re-format and organise data using widely available, industry relevant technology and software of performance during training and competition and organise and manage the performance outputs in a way that can support coaches and athletes make informed decisions in both daily training and competition environments;
  4. Project management and teamwork skills to manage the collection of data and presentation of the data to coaches, athletes and relavant stakeholders.

Content

The following topics will be covered within the major thematic areas:

Module 1: Data Analysis

  • The role of a performance analyst in sport
  • Identifying relevant components of performance including an exploration of the types of performance data: observational, self-reported, equipment-based; size, structure and format of data-sets


Module 2: Technology

  • Contemporary performance analysis tools and techniques
  • Spreadsheet techniques: importing and organising data, data quality checks, commonly used algorithms for event detection and data summaries;
  • Presenting and reporting on performance: dynamic graphs and tables, micro-charts and dashboards


Module 3: Analysis of Performance

  • Analysis of performance through data collection, analysis and reporting

Learning Approaches

This unit is based around the discussion of key articles which introduce the major topics with some supplementary lecture material where required. This will require you to read articles that complement the online lectures. Use is made of assigned reading and digital recordings. You are encouraged to actively participate with questions and discussions during tutorials. You will also learn how to use technology to monitor training loads and aspects of performance and then use the technology to collect, analyse and present the data analysis in a way that is useful to athletes and coaches.

Feedback on Learning and Assessment

Formative assessment in this unit will involve feedback during student/staff discussions in workshops. You will learn to use the available technology and staff will be available to assist you with the analysis and conversion into a report that supports the work of athletes and coaches. This feedback is designed to assist with both items of assessment.

Assessment

Overview

General assessment information and feedback to students

This unit incorporates both formative and summative assessment items, to guide your progress in the unit and the course.

Unit Grading Scheme

7- point scale

Assessment Tasks

Assessment: Project (research)

You are to develop a performance analysis project using real-world tools and techniques to gather quantitative and qualitative performance data and records. Working in groups, you initially will pitch your project (Part 1).  You will then collect the performance data and deliver a report (Part 2) on the outcomes that would support coaches and athletes in both daily training and competition environments. 

This assignment is eligible for the 48-hour late submission period and assignment extensions.

Weight: 50
Length: 10 minutes and 2500 words
Individual/Group: Group
Due (indicative): Week 5 (Part 1) and Week 12 (Part 2)
Related Unit learning outcomes: 2, 3, 4

Assessment: Case Study

Collect records of performance during training and competition and organise and present the outputs in a format that is useful to athletes and coaches.

This assignment is eligible for the 48-hour late submission period and assignment extensions.

Weight: 50
Length: 2 hours
Individual/Group: Individual
Due (indicative): Weeks 12-13
Related Unit learning outcomes: 1, 2, 3

Academic Integrity

Students are expected to engage in learning and assessment at QUT with honesty, transparency and fairness. Maintaining academic integrity means upholding these principles and demonstrating valuable professional capabilities based on ethical foundations.

Failure to maintain academic integrity can take many forms. It includes cheating in examinations, plagiarism, self-plagiarism, collusion, and submitting an assessment item completed by another person (e.g. contract cheating). It can also include providing your assessment to another entity, such as to a person or website.

You are encouraged to make use of QUT’s learning support services, resources and tools to assure the academic integrity of your assessment. This includes the use of text matching software that may be available to assist with self-assessing your academic integrity as part of the assessment submission process.

Further details of QUT’s approach to academic integrity are outlined in the Academic integrity policy and the Student Code of Conduct. Breaching QUT’s Academic integrity policy is regarded as student misconduct and can lead to the imposition of penalties ranging from a grade reduction to exclusion from QUT.

Resources

There is no set text for this unit due to the multidisciplinary nature of the course.
Readings are provided via the course material database.

Risk Assessment Statement

You are required to read and abide by the Health and Safety Rules for School of Exercise and Nutrition Sciences Laboratories and Clinics prior to undertaking any of the laboratories for this unit. These Health and Safety Rules are provided in electronic form on the online teaching site for this unit and are prominently displayed in hardcopy within the laboratory/clinic.