DATA SCIENCE AND STATISTICS FOR SPORT

SPE2DSS

2021

Credit points: 15

Subject outline

In this subject, you will explore research methods, statistical analysis and data science techniques specific to sport and exercise science. You will be taught various research designs and statistical approaches that will allow you to interpret data to apply results in a practical environment. The subject will teach you how to perform various data handling techniques, develop statistical models and data visualisation techniques to interpret data in sport and exercise context.

SchoolAllied Heath, Human Services & Sport

Credit points15

Subject Co-ordinatorMinh Huynh

Available to Study Abroad/Exchange StudentsYes

Subject year levelYear Level 2 - UG

Available as ElectiveNo

Learning ActivitiesN/A

Capstone subjectNo

Subject particulars

Subject rules

Prerequisites Students must be admitted in HBSES, HBESB or HZESPB and must have passed HLT1RAE All other enrolments require subject coordinator's approval

Co-requisitesN/A

Incompatible subjectsHLT2IEP

Equivalent subjectsN/A

Quota Management StrategyN/A

Quota-conditions or rulesN/A

Special conditionsN/A

Minimum credit point requirementN/A

Assumed knowledgeN/A

Readings

Statistics for sports and exercise science: a practical approach

Resource TypePrescribed

Resource RequirementN/A

AuthorNewell, J., Aitchison, T., & Grant, S.

Year2014

Edition/VolumeN/A

PublisherRoutledge

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Jamovi

Resource TypePrescribed

Resource RequirementN/A

AuthorJamovi Project (Version 0.9)

YearN/A

Edition/VolumeN/A

PublisherJamovi

ISBNN/A

Chapter/article titleN/A

Chapter/issueN/A

URLN/A

Other descriptionN/A

Source locationN/A

Career Ready

Career-focusedNo

Work-based learningNo

Self sourced or Uni sourcedN/A

Entire subject or partial subjectN/A

Total hours/days requiredN/A

Location of WBL activity (region)N/A

WBL addtional requirementsN/A

Graduate capabilities & intended learning outcomes

Graduate Capabilities

Intended Learning Outcomes

01. Explain the difference between data types and research designs that are applicable to sport and exercise science.
02. Apply data handling techniques to correctly treat and process data to provide a range of descriptive statistical outcomes.
03. Select, apply and interpret various statistical tests to provide evidence-based recommendations.
04. Appraise statistical designs and research literature within sport and exercise science.
05. Apply a range of data visualisation techniques to demonstrate meaningful outcomes.

Subject options

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Start date between: and    Key dates

Bendigo, 2021, Semester 1, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorEmma Zadow

Class requirements

LectureWeek: 10 - 22
One 2.00 h lecture per week on weekdays during the day from week 10 to week 22 and delivered via blended.

WorkShopWeek: 10 - 22
One 2.00 h workshop per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*
Two 30 minute online tests (1,000 words equivalent) Two 30 min online short answer and multiple choice testsN/AN/AN/ANo20 SILO1, SILO2
Two written workshop data analysis activities (1,500 words equivalent)N/AN/AN/ANo40 SILO1, SILO2, SILO3, SILO5
One written data analysis inquiry project (1,500 words equivalent)N/AN/AN/ANo40 SILO1, SILO2, SILO3, SILO4, SILO5

Melbourne (Bundoora), 2021, Semester 1, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Subject Instance Co-ordinatorMinh Huynh

Class requirements

LectureWeek: 10 - 22
One 2.00 h lecture per week on weekdays during the day from week 10 to week 22 and delivered via blended.

WorkShopWeek: 10 - 22
One 2.00 h workshop per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementCommentsCategoryContributionHurdle% ILO*
Two 30 minute online tests (1,000 words equivalent) Two 30 min online short answer and multiple choice testsN/AN/AN/ANo20 SILO1, SILO2
Two written workshop data analysis activities (1,500 words equivalent)N/AN/AN/ANo40 SILO1, SILO2, SILO3, SILO5
One written data analysis inquiry project (1,500 words equivalent)N/AN/AN/ANo40 SILO1, SILO2, SILO3, SILO4, SILO5