Overview

This unit will provide a solid foundation for the design, implementation and management of organisational databases. Organisational data and data modelling is introduced, focusing on structured and unstructured data, and entity-relationship (ER) modelling. The skills required to construct ER diagrams will be taught, with a focus on ensuring that the logic of the model reflects the real-world industry case it is representing. Relational databases will be introduced and the functionality they afford organisations will be explored through real world industry cases. The process of designing, building and retrieving information from a database using SQL will be a focus of this unit. The unit also introduces students to the role databases play in data analytics and helping organisations harness the power of and insights from their data.

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
Semester 1
Location
Hawthorn
Start and end dates
03-March-2025
01-June-2025
Last self-enrolment date
16-March-2025
Census date
31-March-2025
Last withdraw without fail date
24-April-2025
Results released date
08-July-2025
Semester 2
Location
Hawthorn
Start and end dates
04-August-2025
02-November-2025
Last self-enrolment date
17-August-2025
Census date
31-August-2025
Last withdraw without fail date
19-September-2025
Results released date
09-December-2025

Learning outcomes

Students who successfully complete this unit will be able to:

  • Define and explain fundamental data and database concepts including tables, relations, keys, queries, transactions, and structured, semi-structured, unstructured data
  • Create, store, retrieve, exploit, and visualise data using modern database tools, functions, and techniques
  • Understand and apply conventional data modelling techniques to solve practical database design problems
  • Explain the impact of big data and modern data analytics tools in the design, use, and management of database systems
  • Examine the application of database technologies and methods in Blockchain, Artificial Intelligence, and Chatbot technologies and social media

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
Face to Face Contact (Phasing out)
Tutorial Labs
2.00 12 weeks 24
Online
Directed Online Learning and Independent Learning
1.00 12 weeks 12
Unspecified Learning Activities (Phasing out)
Independent Learning
9.50 12 weeks 114
TOTAL150

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% 1,2,3,4,5 

Content

  • Structured and unstructured data
  • Database relations, tables, records, keys, filters, queries, parameters, forms, indexes
  • Data formats, manipulation, and exchange tools
  • Transactions and ACID
  • Entity-relationship diagrams and modelling
  • SQL
  • Data warehousing, big data, and data normalisation
  • Data analytics, business intelligence, data visualisation

Study resources

Reading materials

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