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INFT13-327: Advanced Big Data Projects and Case Study

Description

This subject requires students to apply the concepts, theories and frameworks from their entire program to a big data research project. Working under the supervision of an academic staff member, students will learn the research process, develop a research question that is relevant to both industry and the academic community, synthesise the relevant literature, use appropriate big data techniques and interpret the results and evaluate their implications. Students may work in teams or as individuals dependant on the size of the project. Projects may be created internally or be sourced from industry.

Subject details

TypeUndergraduate
CodeINFT13-327
EFTSL0.125
FacultyBond Business School
Semesters offered
  • September 2019 [Standard Offering]
  • January 2020 [Standard Offering]
Credit10
Study areas
  • Business and Commerce
Subject fees
  • Commencing in 2019: $4,290
  • Commencing in 2020: $4,340

Learning outcomes

1. Apply knowledge from previous subjects in the discipline to a real big data project.
2. Critically analyse and synthesise the relevant literature on an approved big data research topic.
3. Design and undertake appropriate data collection and analyses to investigate a research question.
4. Articulate the rationale, theory, methods, findings and implications of a research project in a professional written report.
5. Deliver a clear, concise well-organised research presentation appropriate to specialist and non-specialist audiences using suitable visual aids.

Enrolment requirements

Requisites: ?

Pre-requisites: ?

Co-requisites: ?

There are no co-requisites.

Restrictions: ?

This subject is not available as a general elective. To be eligible for enrolment, the subject must be specified in the students’ program structure.

Subject outlines

Subject dates

Standard Offering
Enrolment opens14/07/2019
Semester start09/09/2019
Subject start09/09/2019
Cancellation 1?23/09/2019
Cancellation 2?30/09/2019
Last enrolment22/09/2019
Withdraw – Financial?05/10/2019
Withdraw – Academic?26/10/2019
Teaching census?04/10/2019