Upon completion of the course you can
- Design, set-up and perform an experiment in a way that facilitates later data processing, analysis and interpretation.
- Estimate, present and reflect on uncertainties in the collected data and justify the choice of analysis/estimation technique(s) used.
- Apply basic data processing and analysis techniques to extract useful information from raw data.
- Present the data in a way that is representative of the findings and highlights essential/interesting features.
This course introduces you to ‘best practices’ in setting up an experiment to investigate a natural phenomenon. In a hands-on setting, you are stimulated to think about the two-way interaction between experimental design and available measurement and processing techniques, and about how to deal with uncertainties in your data (collection). Several standard data processing and analysis techniques are covered. You are encouraged to bring in your own topics (in the natural sciences) for experimental study.|
External students who are interested with this elective please contact email@example.com