bus5pr1 analytics project 1
ANALYTICS PROJECT 1
BUS5PR1
2020
Credit points: 15
Subject outline
This subject expatiates knowledge and skills acquired in the course hitherto, by focusing on a real-world, hands-on, industry-focused project that requires students to apply, experiment, create and evaluate an end-to-end analytics solution that addresses complex end-user requirements for data-driven decision-making. Students will learn an agile scrum-based approach that use Jupyter Notebooks, Google Collaboratory, and Python libraries for developing analytics techniques based on machine learning, deep learning and natural language processing algorithms. Professional and interpersonal communication skills required to present an analytics start-up pitch, data-driven insights, analytics teamwork practice and project management updates to an industry based audience will be discussed, demonstrated and assessed. Ethics of artificial intelligence and analytics, data and ICT governance, security management, and related human factors which are equally important to a successful analytics project with positive social impact will be formulated and evaluated in this subject.
SchoolLa Trobe Business School
Credit points15
Subject Co-ordinatorDaswin De Silva
Available to Study Abroad/Exchange StudentsNo
Subject year levelYear Level 5 - Masters
Available as ElectiveNo
Learning ActivitiesN/A
Capstone subjectYes
Subject particulars
Subject rules
PrerequisitesBUS5AP AND BUS5VA AND BUS5PA
Co-requisitesBUS5CA
Incompatible subjectsN/A
Equivalent subjectsN/A
Quota Management StrategyMerit based quota management
Quota-conditions or rulesBy order of application to the Subject Coordinator.
Special conditionsN/A
Minimum credit point requirementN/A
Assumed knowledgeN/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
Subject options
Select to view your study options…
City Campus, 2020, Semester 1, Night
Overview
Online enrolmentYes
Maximum enrolment size120
Subject Instance Co-ordinatorDaswin De Silva
Class requirements
Lecture/WorkshopWeek: 10 - 22
One 3.00 hours lecture/workshop per week on weekdays at night from week 10 to week 22 and delivered via face-to-face.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
Presentation of analytics project proposal1500 words equivalency task | N/A | N/A | No | 30 | SILO1 |
Critical evaluation of findings and insights2500 words equivalency task | N/A | N/A | No | 40 | SILO1, SILO2, SILO4 |
Final presentation and report of analytics project at analytics project competition1500 words equivalency task | N/A | N/A | No | 30 | SILO2, SILO3, SILO4 |
City Campus, 2020, Semester 2, Night
Overview
Online enrolmentYes
Maximum enrolment size120
Subject Instance Co-ordinatorDaswin De Silva
Class requirements
Lecture/WorkshopWeek: 31 - 43
One 3.00 hours lecture/workshop per week on weekdays at night from week 31 to week 43 and delivered via face-to-face.
Assessments
Assessment element | Category | Contribution | Hurdle | % | ILO* |
---|---|---|---|---|---|
Presentation of analytics project proposal1500 words equivalency task | N/A | N/A | No | 30 | SILO1 |
Critical evaluation of findings and insights2500 words equivalency task | N/A | N/A | No | 40 | SILO1, SILO2, SILO4 |
Final presentation and report of analytics project at analytics project competition1500 words equivalency task | N/A | N/A | No | 30 | SILO2, SILO3, SILO4 |