PRINCIPLES OF SPORT ANALYTICS
Credit points: 15
In this subject, you will explore the principles of analytics within the context of sporting environments. You will learn to apply the mathematical and statistical architecture and rationale that underpins a range of sport analytics methods. Practices in handling, cleaning and processing data generated from sport will be examined. You will learn to apply basic programming and coding skills to analyse sport-related data and answer complex questions.
SchoolAllied Health, Human Services & Sport
Subject Co-ordinatorDavid Carey
Available to Study Abroad/Exchange StudentsYes
Subject year levelYear Level 5 - Masters
Available as ElectiveYes
Learning ActivitiesStudents will undertake online lectures, workshops and self-directed study. Students will undertake written pieces of assessment to demonstrate their achievement of the subject’s intended learning outcomes.
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 1, Blended
Maximum enrolment sizeN/A
Subject Instance Co-ordinatorDavid Carey
Lecture/SeminarWeek: 10 - 22
One 1.00 hour lecture/seminar per week on weekdays during the day from week 10 to week 22 and delivered via blended.
WorkShopWeek: 10 - 22
One 2.00 hours workshop per week on weekdays during the day from week 10 to week 22 and delivered via blended.
2 x 15-minute online quizzes (1500-word equivalent total)
1 x 2500-word written report
1 x 90-minute examination (1500-word equivalent)
|Other written exam||Individual||No||40||SILO1, SILO2, SILO3|