SPORT ANALYTICS PROJECT A

EXS5APA

2020

Credit points: 15

Subject outline

In this subject, you will build on prior learning in computer science, business analytics and sport analytics subjects to work collaboratively with a small group of peers to design, implement, test and document an industry-relevant sport analytics project. The project focuses on developing collaborative teamwork skills, project design, implementation, testing, documentation, oral communication, and time management skills. The subject also integrates previously learned skills and knowledge relating to data science and analytics in sport. This subject will prepare you for designing and conducting independent and team-based sport analytics projects in the workplace.

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

Credit points: 15

Subject Co-ordinator: Paul Gastin

Available to Study Abroad/Exchange Students: No

Subject year level: Year Level 5 - Masters

Available as Elective: No

Learning Activities: N/A

Capstone subject: No

Subject particulars

Subject rules

Prerequisites: Must be admitted in HMSA; AND Must have passed all of the following subjects: CSE4DBF, CSE5DSS, CSE400F, EXS5PSA, EXS5SDC, EXS5SAP, BUS5PA and BUS5VA

Co-requisites: N/A

Incompatible subjects: EXS5RTA OR EXS5RTB

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. Communicate the design and evaluation plan of a team project in sport analytics to project stakeholders
02. Develop methodologies to solve problems in sport analytics
03. Apply cognitive and creative skills to plan a team project to solve problems in sport analytics
04. Apply cognitive and technical skills to investigate approaches to analysing sport analytics problems
05. Critically reflect on project management and group processes to plan projects that generate solutions to problems in sports analytics

Melbourne (Bundoora), 2020, Semester 1, Blended

Overview

Online enrolment: Yes

Maximum enrolment size: N/A

Subject Instance Co-ordinator: Paul Gastin

Class requirements

Industry Based Learning-Off SiteWeek: 10 - 22
Two 1.00 day industry based learning-off site per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.
Students will spend two days per week with stakeholder

SeminarWeek: 10 - 22
One 2.00 hours seminar per week on weekdays during the day from week 10 to week 22 and delivered via face-to-face.

Unscheduled Online ClassWeek: 10 - 22
Twelve 1.00 day unscheduled online class per study period on weekdays during the day from week 10 to week 22 and delivered via blended.
Student project teams will be expected to meet regularly to monitor progress against agreed milestones and project deliverables. This may be face-to-face or virtual.

Assessments

Assessment elementCommentsCategoryContributionHurdle%ILO*

Development of project management group document site (1000 words equiv per student)Each Project Team is required to keep project management documents including weekly meeting agenda and actions, project plan, project documents

N/AN/AN/ANo10SILO1

40-minute project design plan group seminar presentation (10mins/member, 1000 words equiv each)Groups of 3-4 studentsIndividual component: 15%Group component: 5%

N/AN/AN/ANo20SILO2, SILO3

40-minute project technical report group seminar presentation (10mins/member, 1000 words equiv)Groups of 3-4 studentsIndividual component: 15%Group component: 5%

N/AN/AN/ANo20SILO2, SILO4

6000 word group project progress report incorporating individual component (2000 words equiv each)Groups of 3-4 students Individual component: 40%Group component: 10%

N/AN/AN/ANo50SILO1, SILO2, SILO3, SILO4, SILO5