Browse courses to find something that interests you.
This is a free, self-paced online course.
Everyday we make decisions – big and small. But there are lots of ways in which we could make better, more informed decisions. Our biases and preconceptions can lead us to make poor assumptions about the world and data is often presented in a misleading way.
This course will take you through a case study about bushfire – how do you assess risk in such an uncertain situation? You’ll start to think about how data can be manipulated, but also how it can be unpacked to make realistic assumptions. You will explore basic probability and tools such as decision trees to help you make better decisions in your own context.
Finally, you will get the chance to apply and share your own decisions about data.
This course is for those who want to become an expert in making data driven decisions, such as:
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. She received an ARC Postdoctoral Fellowship for a Discovery Project investigating this problem.
Kirsty 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.
Evidence and argumentation are increasingly under the spotlight. Simon’s broad background in educational research has led him to focus on how people think about knowledge and evidence and take action in regard to that knowledge. In particular, he has investigated how teachers think about and use data in their practice and how we can support students to navigate complex evidence through technologies.
Simon’s teaching now focuses particularly on quantitative literacy and teaching students to spot where statistical information has been used well, poorly, or omitted where it should not have been. He is the Director of the UTS Centre for Research on Learning in a Technological Society, and lead of the Faculty of Transdisciplinary Innovation research team on Transformative Learning.
Explore new interdisciplinary research and collaborations around emerging technologies and human rights.
An Interdisciplinary Approach to Considering Human Rights within Emerging Technologies.
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.