Overview

This unit challenges participants to critically explore modern database design and application in contemporary society. After delivering the fundamental principles and techniques required for modern database management, the unit challenges participant's to develop innovative database solutions to practical problems, through novel application of data modelling techniques, and commercial and open-source database tools. The opportunities, challenges, and implications of big data, social media, data analytics, and unstructured data on conventional database systems are explored in parallel.

Requisites

Teaching periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 2
Location
Hawthorn
Start and end dates
29-July-2024
27-October-2024
Last self-enrolment date
11-August-2024
Census date
31-August-2024
Last withdraw without fail date
13-September-2024
Results released date
03-December-2024

Learning outcomes

Students who successfully complete this unit will be able to:

  • Critically evaluate data and database definitions and concepts
  • Develop novel solutions to practical data management challenges using modern database tools and data modelling techniques
  • Critically explore the organisational, societal, and technical impact of big data, unstructured data, and modern data analytics tools on database system design and management

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
On Campus
Class (computer labs)
1.00  12 weeks  12

Online

Lecture (asynchronous)

2.00  12 weeks  24
Unspecified  Activities 
Independent Learning
9.50  12 weeks  114
TOTAL     150

OUA

Type Hours per week Number of weeks Total (number of hours)
Online
Directed Online Learning and Independent Learning
12.50 12 weeks 150
TOTAL150

Assessment

Type Task Weighting ULO's
PortfolioIndividual 100% 1,2,3 

Content

  • Data and database fundamentals and conventions
  • Data management including SQL
  • Data modelling including ERD
  • Data warehousing, big data, and data normalisation
  • Business intelligence and data analytics
  • Semi-structured and unstructured data storage
  • Critical design and application of databases in organisations

Study resources

Reading materials

A list of reading materials and/or required textbooks will be available in the Unit Outline on Canvas.