Postgraduate Course: The Principles of Analytical Chemistry: Sampling, Statistics, and Data Handling (CHEM10068)
|School||School of Chemistry
||College||College of Science and Engineering
|Credit level (Normal year taken)||SCQF Level 10 (Postgraduate)
||Availability||Not available to visiting students
|Summary||This course will provide training in the foundational principles of analytical chemistry. The considerations required for developing a successful unbiased sampling strategy will be discussed; as well as statistical methods for the processing of a range of data. The course forms a part of the curriculum for any student enrolled on the PGT MSc degree course in Analytical Chemistry.
The course consists of a blend of lectures, tutorials and workshops, which deal with the key concepts of analytical chemistry and data sampling and statistics. Students will be assessed on their performance in problem-based coursework. The course topics include:
An introduction to Analytical Chemistry -
- Importance of and areas of applications of qualitative/quantitative analyses
- The Analytical Process
- Sampling and sampling strategies: random, systematic, judgmental. Temporal factors in sampling.
- Principles of Quality Assurance, Quality Assessment and Quality Control; use of standards, calibration, blanks, controls, certified reference material and traceability, spikes and duplicates.
- Multifactorial Experimental Design. Design of Experiments (DoE)
Statistical Methods -
- Parametric versus non-parametric methods.
- Precision, accuracy, and random and systematic error; propagation of errors.
- Data Distributions. The normal and log-normal distributions; mean, median, range and standard deviation; confidence limits of the mean; use of significant figures.
- Analysis of non-normal data.
- Significance testing and null hypotheses; one and two tailed tests; type I and type II errors; parametric tests on means (paired and unpaired t-tests); parametric test on spreads (F-test).
- Non-parametric tests on medians (sign test, Wilcoxon rank sum test, Mann-Whitney U-test). Non-parametric test on spreads (Siegel-Tukey test).
- Linear and non-linear regression.
- One-way and two-way analysis of variance (ANOVA); correlation (Pearson and Spearman rank correlation coefficients); significance of the correlation coefficient.
- An introduction to multivariate analysis. Principle component Analysis, Hierarchical Cluster Analysis
- Data visualisation. Assessing the best way to represent complex data. Charts, plots, histograms, scatter plots, heat maps.
The formal lectures will be supplemented by -
- Workshops which will include the discussion and analysis of several case studies¿ (i) data analysis/ statistics (ii) data visualisation.
- Practical laboratory sessions
- Non-assessed data visualisation competition
Entry Requirements (not applicable to Visiting Students)
||Other requirements|| None
Course Delivery Information
|Academic year 2022/23, Not available to visiting students (SS1)
|Learning and Teaching activities (Further Info)
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
|Assessment (Further Info)
|Additional Information (Assessment)
||Hours & Minutes
|Main Exam Diet S2 (April/May)||3:00|
On completion of this course, the student will be able to:
- discuss the relative merits of different sampling strategies
- identify how to quantify and reduce sampling and overall method variance
- apply the principles of experimental design
- establish and evaluate quality assurance procedures in support of an analytical measurement.
- define accuracy and precision and calculate combinations of errors and confidence limits
|Graduate Attributes and Skills
||Develop solid foundational skill in the principles of analytical chemistry.
Understand how to plan unbiased and efficient sampling strategies.
Learn which types of statistical methods are most suitable for a wide range of data formats.
Develop the ability display complex data in a clear manner.
|Course organiser||Dr Annamaria Lilienkampf
Tel: (0131 6)50 4812
|Course secretary||Ms Zoe Burger
Tel: (0131 6)50 7546