Big Data

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

Duration

  • One Semester or equivalent

Contact hours

  • 48 hours face to face + blended

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

2023 teaching periods

Hawthorn

Higher Ed. Semester 2

Dates:
31 Jul 23 - 29 Oct 23

Results:
5 Dec 23

Last self enrolment:
13 Aug 23

Census:
31 Aug 23

Last withdraw without fail:
15 Sep 23

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 (ULO)
On successful completion of this unit students will be able to:
 
1 Discuss the challenges and opportunities of Big Data in the context of its potential for organisations
2 Propose efficient solutions for the storage and management of large data sets
3 Use efficient tools to query diverse forms of data storage, such as NoSQL data sources
4 Compare and apply technologies and algorithms to extract and integrate information from data sets with varying degrees of structure
5 Appraise the quality and fitness for purpose of the information extracted, using suitable statistical methods