Data Research and Visualisation
Duration
- One Semester or equivalent
Contact hours
- 24 hours face to face + Blended
On-campus unit delivery combines face-to-face and digital learning.
2023 teaching periods
| Hawthorn Higher Ed. Semester 1 |
||
|---|---|---|
Dates: Results: Last self enrolment: Census: Last withdraw without fail: |
Aims and objectives
The unit introduces students to the understanding and application of data for research and story telling. Graduates will be able to find and utilise different sources and forms of data to provide evidence in different forms of media content creation, including creating data visualisations as a source of information.
1. Critically analyse, evaluate and utilise key sources of primary data for evidence in media content creation;
2. Utilise basic statistical knowledge to analyse primary source data sets and its significance;
3. Create visualisations of primary data using research and technical tools to illustrate evidence in data storytelling and visualisation;
4. Apply data centered research and analysis to varied media content creation projects.
Unit Learning Outcomes (ULO)
On successful completion of this unit students will be able to:
1. Critically analyse, evaluate and utilise key sources of primary data for evidence in media content creation;
2. Utilise basic statistical knowledge to analyse primary source data sets and its significance;
3. Create visualisations of primary data using research and technical tools to illustrate evidence in data storytelling and visualisation;
4. Apply data centered research and analysis to varied media content creation projects.
Unit information in detail
- Teaching methods, assessment and content.
Teaching methods
Hawthorn
Type | Hours per week | Number of Weeks | Total |
On-Campus Lecture | 1 | 8 | 8 |
On-Campus Tutorial | 2 | 8 | 16 |
Online Directed Online Learning and Independent Learning | 3 | 4 | 12 |
Online Various | 4 | 12 | 48 |
Unspecified Activities Individual Study | 5 | 12 | 60 |
TOTAL | 150 hours |
Assessment
| Types | Individual or Group task | Weighting | Assesses attainment of these ULOs |
| Data Analytics and visualisation project | Group | 45% | 1, 2, 3, 4 |
| Project pitch Presentation (6) | Group | 15% | 1, 2 |
| Two class tests (20% each) | Individual | 40% | 1, 2 |
Content
- Introduction to Data and Visualisation – context for learning
- What is data – use of primary sources media content creation
- Understanding numbers – use and significance of statistics, numbers and other data
- Introduction to best practice data storytelling in an online age – some case studies
- Visualising data – tools to make meaningful stories with data
- Algorithms and data sets – how numbers can be manipulated
- Storytelling, curation and news reporting with data – how to integrate numbers into stories.
Study resources
- Reading materials.
Reading materials
A list of reading materials and/or required texts will be made available in the Unit Outline.