Big Data

COS80023 12.5 Credit Points Hawthorn Available to incoming Study Abroad and Exchange students

Duration

  • One Semester or equivalent

Contact hours

  • 30 Hours

On-campus unit delivery combines face-to-face and digital learning.

2022 teaching periods

Hawthorn

Higher Ed. Semester 2

Dates:
1 Aug 22 - 30 Oct 22

Results:
6 Dec 22

Last self enrolment:
14 Aug 22

Census:
31 Aug 22

Last withdraw without fail:
16 Sep 22

Prerequisites

Postgraduate:
 
Entry to MA-ITPC1 Master of Information Technology (Professional Computing)
 
or 
 
and
 
 
Undergraduate:
and

Aims and objectives

This unit enables students to understand the nature of Big Data, and to evaluate and apply solutions to the problems of storing, integrating and analysing heterogeneous data sets with varying degrees of structure from diverse sources using the appropriate tools in order to extract meaningful information.
 
 
Unit Learning Outcomes
On successful completion of this unit students will be able to:
#Unit Learning Outcome Description
ULO1Discuss the challenges and opportunities of Big Data in the context of its potential for organisations.
ULO2Propose efficient solutions for the storage and management of large data sets
ULO3Use efficient tools to query diverse forms of data storage, such as NoSQL data sources
ULO4Compare and apply technologies and algorithms to extract and integrate information from data sets with varying degrees of structure
ULO5Appraise the quality and fitness for purpose of the information extracted, using suitable statistical methods