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  • Making Decisions in Uncertainty
FREE COURSE

Making Decisions in Uncertainty

Start learning
Free course

START DATE

 Start anytime

MODE

 Online

DURATION

 2 hrs
Start learning

Meet the Expert

Dr Kirsty Kitto

Dr Kirsty Kitto
Associate Professor, UTS Master of Data Science

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.

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Dr Simon Knight

Dr Simon Knight
Senior Lecturer, UTS Master of Data Science

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.

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How well do you make decisions? Assessing data and risk is key to how we understand the world and make decisions. You’ll explore making decisions and risk from an evidence-based approach.

About this course

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.

Course structure

  • Make decisions with uncertain information and dealing with ignorance
  • Navigate and evaluate types of evidence and their strengths/weaknesses
  • Understand the implications of cognitive bias in decision making.

Why you should do this course

  • Learn about the role of uncertainty in decision making, with hands-on exercises and tools
  • Find out how risk-literate you are
  • Gain practical insights through a case study of bushfire risk
  • Enjoy a taste of how we work in the UTS Master of Data and Science Innovation.

Who is this course for?

This course is for those who want to become an expert in making data driven decisions, such as:

  • Marketers
  • Business analysts 
  • Sales officers
  • Business development officers
  • Data scientists. 

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UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.

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