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SPORTS DATA CAPTURE

EXS5SDC

2020

Credit points: 15

Subject outline

In this subject, students will be introduced to the available technology applications that generate data from sport. Students will systematically appraise data capture technology using accepted criteria in order to identify the limitations of available technology in sport data capture. Students will explore the factors that influence effective and accurate data capture in sport and its handling and treatment. Using their understanding of these factors and available technology applications, students will learn to identify appropriate applications and processes for a range of analysis scenarios.

School: Allied Health, Human Services & Sport (Pre 2022)

Credit points: 15

Subject Co-ordinator: David Carey

Available to Study Abroad/Exchange Students: Yes

Subject year level: Year Level 5 - Masters

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: EXS5PSA

Co-requisites: N/A

Incompatible subjects: N/A

Equivalent subjects: N/A

Quota Management Strategy: N/A

Quota-conditions or rules: N/A

Special conditions: N/A

Minimum credit point requirement: N/A

Assumed knowledge: N/A

Career Ready

Career-focused: No

Work-based learning: No

Self sourced or Uni sourced: N/A

Entire subject or partial subject: N/A

Total hours/days required: N/A

Location of WBL activity (region): N/A

WBL addtional requirements: N/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Critically appraise new and existing technology applications that can be employed to generate data from sport.
02. Apply theoretical knowledge and technical skills to implement and evaluate data capture in sport
03. Apply research and technical skills to justify selection and use of an appropriate range of technology applications in order to collect measurable data from sport.
04. Critically reflect on the limitations of technology used within sports analytics and their effect on the quality of data generated and collected from sport.

Melbourne (Bundoora), 2020, Semester 2, Blended

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: David Carey

Class requirements

Lecture/SeminarWeek: 31 - 43
One 1.00 hour lecture/seminar per week on weekdays during the day from week 31 to week 43 and delivered via blended.

WorkShopWeek: 31 - 43
One 2.00 hours workshop per week on weekdays during the day from week 31 to week 43 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle%ILO*

1,000 word critical appraisal of sport data capture technology.

N/AN/AN/ANo20SILO1

1,500 word data capture plan

N/AN/AN/ANo30SILO2, SILO3

2,000 word equivalent sport data capture project

N/AN/AN/ANo50SILO2, SILO3, SILO4