SPORT ANALYTICS IN PRACTICE
Credit points: 15
In this subject, you will apply theoretical understanding of analytics processes and methodologies to authentic sport-related data sets, such as seasonal AFL data to model and predict ladder positions and match outcomes.
You will develop an analysis plan and implement this plan to formulate specific outcomes arising from the data analysis. You will use appropriate visual analytics tools to present your data to communicate formulated outcomes and findings.
SchoolAllied Health, Human Services & Sport
Subject Co-ordinatorMinh Huynh
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 5 - Masters
Available as ElectiveYes
Learning ActivitiesStudents will undertake online lectures, workshops, computer laboratory work, and self-directed study. Students will undertake written pieces of assessment associated with a project, to demonstrate their achievement of the subject’s intended learning outcomes
PrerequisitesEXS5PSA OR SPE5PSA
Quota Management StrategyN/A
Quota-conditions or rulesN/A
Minimum credit point requirementN/A
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
Intended Learning Outcomes
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Melbourne (Bundoora), 2021, Semester 2, Blended
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorDavid Carey
Lecture/SeminarWeek: 30 - 42
One 1.00 hour lecture/seminar per week on weekdays during the day from week 30 to week 42 and delivered via blended.
WorkShopWeek: 30 - 42
One 2.00 hours workshop per week on weekdays during the day from week 30 to week 42 and delivered via blended.
1 x 1500-word project proposal
1 x 2500-word project report
20-minute oral presentation (1000-word equivalent)
|Oral presentation||Individual||No||25||SILO2, SILO3, SILO4|