Performance Analysis in Sport G (10155.3)
Please note these are the 2023 details for this unit
Available teaching periods | Delivery mode | Location |
---|---|---|
View teaching periods | Online |
UC - Canberra, Bruce |
EFTSL | Credit points | Faculty |
0.125 | 3 | Faculty Of Health |
Discipline | Study level | HECS Bands |
Discipline Of Sport And Exercise Science | Graduate Level | Band 2 2021 (Commenced Before 1 Jan 2021) Band 4 2021 (Commenced After 1 Jan 2021) Band 4 2021 (Commenced After 1 Jan Social Work_Exclude 0905) |
In this unit, students will apply advanced knowledge of the methods and analytic techniques used to capture and assess sporting performance during competition. Students will learn to identify performance variables and create key performance indicators, capture data using video analysis and athlete tracking systems, and assess the technical and tactical performance of athletes and teams during competition. Students will collect, analyse and interact with real-world data, and interpret the information gathered from these data to inform decisions about competition performance and strategy.
1. Apply advanced knowledge of the different methods and systems used to capture and assess sporting performance;
2. Collect data using notational and video analysis systems in a valid and reliable way;
3. Critically evaluate the tactical and technical components of sporting performance using competition data and video analysis techniques;
4. Manage and analyse sports competition data using a programming environment; and
5. Interpret and effectively communicate information gathered from sports competition data.
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
Learning outcomes
On successful completion of this unit, students will be able to:1. Apply advanced knowledge of the different methods and systems used to capture and assess sporting performance;
2. Collect data using notational and video analysis systems in a valid and reliable way;
3. Critically evaluate the tactical and technical components of sporting performance using competition data and video analysis techniques;
4. Manage and analyse sports competition data using a programming environment; and
5. Interpret and effectively communicate information gathered from sports competition data.
Graduate attributes
1. UC graduates are professional - communicate effectively1. 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
Prerequisites
None.Corequisites
Enrolment in 363JA Graduate Certificate in Sports Analytics, ITM001 Master of Data Science OR permission required from the unit convener.Incompatible units
11578 Performance Analysis in SportEquivalent 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.
Availability for enrolment in 2023 is subject to change and may not be confirmed until closer to the teaching start date.
Year | Location | Teaching period | Teaching start date | Delivery mode | Unit convener |
---|---|---|---|---|---|
2022 | UC - Canberra, Bruce | Semester 2 | 01 August 2022 | Online | Dr Jocelyn Mara |
2023 | UC - Canberra, Bruce | Semester 2 | 31 July 2023 | Online | Dr Jocelyn Mara |
The information provided should be used as a guide only. Timetables may not be finalised until week 2 of the teaching period and are subject to change. Search for the unit
timetable.