Entry requirements

Knowledge and achievements corresponding to passed 40 credit points of natural science or technology, including basic course in analytical chemistry

Aims

After the course, the student will have fundamental knowledge and practical skills to generate, process and analyse multidimensional data. The influence of various experimental factors can be evaluated by factorial experiments enabling, e.g., optimal conditions for a synthesis. Multivariate measurement data, for example spectra and 'profiles' of various responses, can be visualised and modelled by methods of projection, thereby facilitating interpretations in complex problmes within biology/medicin and environment monitoring. The use of statistical and mathematical methods for these purposes is referred to as chemometrics.

Content

Analysis of variance (multiway and hierarchical ANOVA) and multiple linear regression (MLR).

Factorial and reduced factorial designs, response surface modelling.

Strategies and methods for optimisation (response surface, simplex).

Multivariate projection methods (PCA, PLS) for visualisation and empirical modelling (characterisation, classification and calibration).

Computer software for applications of chemometrical methods in industry, biology/medicin and environmental monitoring.

Instruction

Lectures, seminars, laboratory work and home assignments. Training in written and oral reports. Compulsory moments: Course introduction, seminars, laboratory work, oral and written presentations. Examinations is arranged during and/or at the end of the course. The reports from the laboratory work and projects must also be passed. Student who have failed a test have the right to take a new examination at the beginning of the autumn semester, after Christmas vacations and at the end of the spring

Assessment

Examination is arranged during and/or at the end of the course. The reports from the laboratory work and projects must also be passed.