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This is a free, self-paced online course.
In this taster course, interdisciplinary researchers will guide you through some of the practical methods and tools you can use to investigate Facebook’s data on you – even if you don’t have an account with them!
The following content will be covered:
This course is suitable for those who want to gain a greater understanding of the data Facebook collects.
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START DATE |
Start anytime |
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MODE |
Online |
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DURATION |
Self paced |
Kirsty’s research models the many ways in which humans interact with information and how this can change as a result of context. She is working towards providing unified mathematical and computational models of contextuality, which often results in apparently complex and unpredictable human behaviour.
Kirsty received an ARC Postdoctoral Fellowship for a discovery project investigating this problem. She has collaborated on projects with people from a wide range of fields, including physics, experimental psychology, cognitive science, computer science, social psychology, education and computational linguistics.
Simon’s broad background in educational research has led him to focus on how people think about knowledge, and take action on that knowledge. In particular, he is engaged with the way people and policies implicate views on ‘knowledge’ in documents such as assessment policies. Simon's teaching now focuses particularly on quantitative literacy and teaching students to spot where statistical information has been used well, poorly, or omitted in error.
Explore the statistical essentials you need to tackle evidence-based arguments in the modern world.
Explore how data analytics enables improved NBN workforce planning.
Explore improvements in train network operation performance via machine learning techniques .
Explore a case study investigating the impacts of COVID-19 and Australian bushfires, on our health and wellbeing.
Explore tools to analyse and present data on NSW communities during the early to mid-stages of COVID-19.
Understand the global response to COVID-19 through a data-driven approach, to explain how nations have responded.
