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Experimental Design and Statistics for Chemists, 3 credits

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This course syllabus was confirmed by The Research Programmes Board at the Faculty of Science 12 June 2023. The course is in the third cycle and amounts to 3 credits.

Learning outcomes

The aim of the course is to supply the student with fundamental theoretical knowledge in experimental design, multivariate statistics and quality assurance, and skills in the use of associated statistical tools. The course also aims to prepare the participants for future needs of planning experiments and dealing with large quantities of data.
On completion of the course, participants shall be able to:

Knowledge and understanding

Account for principles of fundamental multivariate statistical methods and their application in various chemical disciplines
Describe tools for quality assurance of laboratory methods and techniques
Describe fundamental methods for planning and execution of experiments

Competens and skills

Designing multivariate experiments
Analyse multivariate data
Performing calibration of instruments, as well as evaluate these results from a validation perspective

Judgement and approach

Explain what type of experimental design and statistical evaluation that is required for a given research question
Compare results from different variants of experimental designs and multivariate statistical strategies
Summarize experimental designs, statistical results and validation parameters in a report

Course content

The course covers the basics, principles and limitations for the most common methods for multivariate statistics (analysis of variance, principal component analysis and partial least squares regression), experimental design (super-saturated and factorial designs) and method validation with a focus on practical use. Great emphasis will be placed on covering a wide range of applications of these techniques which will aid in selecting appropriate techniques for specific research questions. The practical elements aim at giving the participants basic knowledge in selecting and applying methods for different applications.

Forms of instructions

The teaching consists of lectures, computer exercises carried out in groups and an individual project work. Participation in the lectures and in the group work and associated elements is mandatory.

Forms of assessment

Examination is based on attendance and active participation, written reports from the computer exercises carried out in groups and a written individual project work.

Grades

Possible grades are Pass and Fail. For a grade of Pass, >95% attendance of lectures and computer exercises, approved written reports from the computer exercises and approved individual project work are required.

Language of instruction

The course is given in English.

Additional information

This course is also given in the second cycle (course code KEMM76). The courses KEMM76 and NKE023F cannot be credited together as the courses have the same content.

Course responsible teacher and unit/division

Peter Spégel
Email: peter.spegel@chem.lu.se

Deptartment of Chemistry, KILU

Do you have questions? Please contact viveka.alfredsson@chem.lu.se