MDA20026 · Swinburne University of Technology
Media Analytics and Visualisation
- Credit points
- 12.5
- Level
- 2
- Workload
- ≈ 13 h / week
- Faculty
- Design
What it covers
In information-saturated communication environments, data analysis and visualisation techniques are crucial to understand social, cultural and economic patterns of media production and use. Data is also crucial to many forms of storytelling - including professional communication and journalism. Students will learn about using data to tell stories, including data analytics and visualisation, and tools and techniques required to collect, clean, analyse and visualise qualitative, quantitative and social network data.
Assessment
| Task | Type | Weight |
|---|---|---|
| Feature Article Research and Writing | Individual | 30% |
| Project | Group | 40% |
| Test | Individual | 30% |
When and where
| Teaching period | Campus | Mode |
|---|---|---|
| Semester 1 | Hawthorn | On campus |
| Teaching Period 1 | Online | Online |
| Teaching Period 3 | Online | Online |