Goals:
Performing analyses is a multi-step process, from sampling to the final result. A random variability is added at each step and is evaluated to assess the quality of the final results. Analytical chemistry of complex systems including Environment produces lots of data in short periods to take into account the time evolution and the spatial heterogeneity of the systems. Understand the meaning of the data stream is a challenge but necessary to understand the fate and behaviour of the investigated system. Most of the useful information can be hidden in the data flow and the objective of this course is to learn how to extract the maximum information with the minimum of work. Computation tools are available and will be used at the user level.
Program:
1) Data analyses (8h, lectures):
- Review of statistical methods used for measurements and time series processing
- Accuracy. Errors and uncertainties. Error propagations.
- Analyses certification. Instrument stability check.
- Compositional data handling and analysis (CoDa).
2) Sampling strategy in a heterogeneous system: space and time heterogeneity (4h)
3) Computation training using R and spreadsheets (8 h Practical work)