The syllabus will not be set rigorously. A subset of the following issues will be covered:
Mathematical modelling of real problems, forward and inverse problems, ODE problem, PDE problems, discrete problems, optimisation methods, numerical solutions, stability and robustness of solutions, software implementation of solutions, interpretation of numerical and analytical investigations.
Actual current and recent problems from industry will be used to motivate and demonstrate the methods covered. Examples will be chosen according to the expertise and experience of the person or persons teaching the topic.
This topic aims to provide the student with insight and experience in addressing industrial problems from conception to solution. This includes identifying a proper mathematical setting of the problem, choosing a strategy for solution, implementing analytical and numerical aspects of solutions and interpreting results.
Timetable details for 2021 are no longer published.