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Modelling Uncertainty


Uncertainty appears everywhere in life, arising naturally in the fields of science, engineering, design, and humanities. Probability and statistics are two powerful and complementary ways to model uncertainty: probability uses knowledge of a system’s behaviour to predict its future outcomes, while statistics analyses data from past outcomes to model a system’s behaviour. Both probability and statistics are crucial in the study of other disciplines such as finance, big data, artificial intelligence, machine learning, and more. In this course we will learn the fundamentals of probability and statistics through real life applications, software and projects.