Overview

In information-saturated communication environments, data analysis and visualisation techniques are crucial to understand social, cultural and economic patterns of media production and use. This unit focuses on the strategic and business value of media analytics and visualisation. Students will learn about evidence-based decision making, data analytics and visualisation, and tools and techniques required to collect, clean, analyse and visualise qualitative, quantitative and social network data, and will have the opportunity to apply their learning in real world settings.

Requisites

Teaching Periods
Location
Start and end dates
Last self-enrolment date
Census date
Last withdraw without fail date
Results released date
Semester 1
Location
Hawthorn
Start and end dates
26-February-2024
26-May-2024
Last self-enrolment date
10-March-2024
Census date
31-March-2024
Last withdraw without fail date
12-April-2024
Results released date
02-July-2024

Learning outcomes

Students who successfully complete this unit will be able to:

  • Use data analytics and visualisation techniques to interpret socio-cultural and economic patterns of social media and digital data use in real-world settings
  • Critically evaluate the concepts of data analytics and visualisation and apply the appropriate tools and techniques to implement data analytics and visualisation strategy
  • Apply critical thinking and problem-solving skills to resolve complex data and visualisation problems
  • Collect, analyse and visualise structured, unstructured and network data
  • Communicate effectively as a professional and function as an effective leader or member of a diverse team

Teaching methods

Hawthorn

Type Hours per week Number of weeks Total (number of hours)
On-campus
Lecture		1.00 12 weeks 12
On-campus
Class		2.00 12 weeks 24
Specified Activities
Various		3.00 12 weeks 36
Unspecified Activities
Independent Learning		6.50 12 weeks 78
TOTAL150

Sarawak

Type Hours per week Number of weeks Total (number of hours)
Online
Directed Online Learning and Independent Learning		12.50 12 weeks 150
On-campus
Lecture		1.00 12 weeks 12
On-campus
Class		2.00 12 weeks 24
Specified Activities
Various		3.00 12 weeks 36
Unspecified Activities
Independent Learning		6.50 12 weeks 78
TOTAL300

Assessment

Type Task Weighting ULO's
PresentationIndividual 20% 1,3,5 
ProjectGroup 40% 1,2,3,4,5 
TestIndividual 40% 2,3,4 

Content

  • Introduction to big data, fast data, structured and unstructured data
  • The evolutionary process of media analytics implementation
  • Strategic planning and evaluation of media analytics projects
  • Data visualisation, dashboard design, storyboarding with analytics
  • Data analytics lifecycle
  • Data analytics tools and techniques
  • Social media analytics
  • Social network analysis (SNA)
  • Data visualisation

Study resources

Reading materials

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