DATA SCIENCE AND STATISTICS FOR SPORT

SPE2DSS

2020

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.

SchoolSchool Allied Health,Human Serv & Sport

Credit points15

Subject Co-ordinatorMinh Huynh

Available to Study Abroad StudentsYes

Subject year levelYear Level 2 - UG

Exchange StudentsYes

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 subjects HLT2IEP

Equivalent subjectsN/A

Special conditionsN/A

Readings

Resource TypeTitleResource RequirementAuthor and YearPublisher
ReadingsStatistics for sports and exercise science: a practical approachPrescribedNewell, J., Aitchison, T., & Grant, S. (2014)Routledge
TechnologiesJamoviPrescribedJamovi Project (Version 0.9)Jamovi

Graduate capabilities & intended learning outcomes

01. Explain the difference between data types and research designs that are applicable to sport and exercise science.

Activities:
Workshops, Online learning modules, Lectures
Related graduate capabilities and elements:
Literacies and Communication Skills (Quantitative Literacy)
Inquiry and Analytical Skills (Inquiry/Research)

02. Apply data handling techniques to correctly treat and process data to provide a range of descriptive statistical outcomes.

Activities:
Workshops, Online learning modules, Lectures
Related graduate capabilities and elements:
Literacies and Communication Skills (Quantitative Literacy)
Inquiry and Analytical Skills (Inquiry/Research)

03. Select, apply and interpret various statistical tests to provide evidence-based recommendations.

Activities:
Workshops, Online learning modules, Lectures
Related graduate capabilities and elements:
Literacies and Communication Skills (Quantitative Literacy)
Inquiry and Analytical Skills (Inquiry/Research)

04. Appraise statistical designs and research literature within sport and exercise science.

Activities:
Workshops, Online learning modules, Lectures
Related graduate capabilities and elements:
Literacies and Communication Skills (Quantitative Literacy)
Inquiry and Analytical Skills (Inquiry/Research)

05. Apply a range of data visualisation techniques to demonstrate meaningful outcomes.

Activities:
Workshops, Online learning modules, Lectures
Related graduate capabilities and elements:
Literacies and Communication Skills (Quantitative Literacy)
Inquiry and Analytical Skills (Inquiry/Research)

Subject options

Select to view your study options…

Start date between: and    Key dates

Bendigo, 2020, Semester 1, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorEmma Zadow

Class requirements

Lecture Week: 10 - 22
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via blended.

WorkShop Week: 10 - 22
One 2.0 hours workshop per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementComments% ILO*
Two 30 minute online tests (1,000 words equivalent)Two 30 min online short answer and multiple choice tests20 01, 02
Two written workshop data analysis activities (1,500 words equivalent)40 01, 02, 03, 05
One written data analysis inquiry project (1,500 words equivalent)40 01, 02, 03, 04, 05

Melbourne, 2020, Semester 1, Blended

Overview

Online enrolmentYes

Maximum enrolment sizeN/A

Enrolment information

Subject Instance Co-ordinatorMinh Huynh

Class requirements

Lecture Week: 10 - 22
One 2.0 hours lecture per week on weekdays during the day from week 10 to week 22 and delivered via blended.

WorkShop Week: 10 - 22
One 2.0 hours workshop per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Assessments

Assessment elementComments% ILO*
Two 30 minute online tests (1,000 words equivalent)Two 30 min online short answer and multiple choice tests20 01, 02
Two written workshop data analysis activities (1,500 words equivalent)40 01, 02, 03, 05
One written data analysis inquiry project (1,500 words equivalent)40 01, 02, 03, 04, 05