Afterwards the student is able to:
- Interpret a real life problem, and extract from it a sensible mathematical research question.
- Devise an action plan for the modelling project with the above research question.
- Execute the modelling assignment, with emphasis on the mathematical analysis, in particular relating to the other courses in this module (Signals and Transforms & Probability Theory)
- Present written and verbally the results of the modelling project.
- Cooperate in a team and give constructive feedback.
- Program in Python.
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The prime objective of the project is to predict water levels using lots of measurements that have been collected in the past. This is directly related to signals and transforms but if you want to characterise the quality of your prediction you also want to model and quantify the uncertainty which is connected to probability theory. The course includes an introduction to Python, and you have to analyse the data of the water levels in Python. In the project you work in a team of about four persons. There are two workshops on team cooperation and peer review. The project is completed with a report and a final presentation.
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