Practice-oriented chemical analysis

Introduction to the analytical approach:

- Understanding analytical thinking: from problem definition to solution.

- The importance of critical thinking and the optimization of methods.

- Overview of the analytical process and its stages.

Sampling strategies and techniques:

- Principles of representative sampling and sample preparation.

- Case studies, challenges and considerations in real sampling scenarios.

Measurement procedures and instrumental analysis:

- The importance of integrating several techniques.

- Selected case studies in different areas of analytical chemistry.

Method optimization guidelines:

- Factors influencing the choice of method: selectivity, accuracy, economic considerations, etc.

- Evaluation of trade-offs and limitations of different methods.

- Exercises to evaluate the suitability of methods.

Measurement and instrumentation considerations:

- Quality assurance and control in measurements

- Instrument calibration and method validation

- Management of measurement uncertainties

Data management and interpretation using the industry standard statistical programming language R:

- Introduction to the R programming language for statistical computing.

- Practical examples for the analysis of analytical data.

- Statistical considerations in analytical chemistry with practical examples (linear and non-linear regression, noise analysis, principle component analysis (PCA), etc.).

Communication of analytical results:

- Effective presentation of analytical results.

- Visualization techniques for interpreting data.

Case studies for chemical analysis:

- Real analytical scenarios.

- Group project to solve complex analytical problems.