Applied Computational Modelling (MOD300)

The course will give a practical introduction to modeling. We will develop models for supporting decision making in complex and uncertainty contexts, physical phenomenon and processes, and others relevant to different engineering disciplines. The mathematical models are, for example, models for decision analysis, statistical models, models of physical systems, machine learning models, and hybrid models where machine learning methods are combined with physical models. The numerical methods of solving the models will be introduced. We will focus on practical applications in the form of constructing models and implementing specific algorithms to solve practical problems with the purpose of supporting and improving decision making. Coding/programming will be an important part of the course, and we will use Python as the primary programming language for the course.

Course description for study year 2022-2023