The course provides an overview of modern computational methods interfacing data with mathematical models, including inverse problems and Bayesian parameter inference, data assimilation and related optimisation and statistics techniques. These will be illustrated through a series of case studies and examples representative of industrial applications. Python computer programming will be taught.
By the end of the course, students should be able to do the following:
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SCQF Level: 11
Credits: 15