Experimental Design and Multivariate Methods
Syllabus, Master's level, 1KB152
This course has been discontinued.
- Code
- 1KB152
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Chemistry A1F
- Grading system
- Pass with distinction (5), Pass with credit (4), Pass (3), Fail (U)
- Finalised by
- The Faculty Board of Science and Technology, 30 August 2018
- Responsible department
- Department of Chemistry for Life Sciences
Entry requirements
120 credits and knowledge and achievements corresponding to course Spectroscopy, 10 credits and course in Analytical Chemistry, 10 credits. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Learning outcomes
On completion of the course, the student should be able to:
- identify experimental factors and analyse their influence on chemical measurement data and chemical systems
- design and evaluate full and reduced factorial experiments
- describe strategies and apply methods for optimisation
- describe and apply multivariate projection methods for visualisation and empirical modelling (characterisation, classification, calibration)
- make use of computer programs for the above mentioned methods
Content
Statistical and mathematical methods (multi-way and hierarchical analysis of variance, multiple linear regression, response surface modelling, simplex optimisation, principal component analysis, partial least squares regression, clustering analysis) for empirical modelling of chemical/biological systems; with special attention to experimental design and multivariate data analysis. Exercises, seminars and miniprojects linked to complex problems within e.g. industrial processes, environment monitoring and biological/medical research.
Instruction
Lectures, seminars, computer exercises, miniprojects and home assignments. Compulsory moments are: course introduction, seminars, computer exercises (reports in writing) and miniprojects (oral presentations)
Assessment
The course marks are based on the results of a written examination arranged at the end of the course, 4 credits, the reports from the computer exercises, and the home assignments, 6 credits. The final grade is weighted.
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the disability coordinator of the university.