Course syllabus

Kemometri - försöksplanering och multivariat analys
Chemometrics - Design of Experiments and Multivariate Analysis

KLGN10, 7,5 credits, A (Second Cycle)

Valid for: 2020/21
Decided by: PLED B/K
Date of Decision: 2020-03-27

General Information

Elective for: B5-l, B5-mb, B5-lm, K5-m, K5-l, N4
Language of instruction: The course will be given in English on demand


Build on the knowledge in design of experiments in order to be able to plan and perform more complicated experiments, as well as analyse data in several dimensions.

Learning outcomes

Knowledge and understanding
For a passing grade the student must

Competences and skills
For a passing grade the student must


Complete and reduced factorial designs. Response surface analysis. Cluster analysis, discriminant analysis, principal component analysis (PCA), and partial least squares (PLS).

Examination details

Grading scale: TH - (U,3,4,5) - (Fail, Three, Four, Five)
Assessment: Written project reports as well as compulsory and active participation in the seminars.

The examiner, in consultation with Disability Support Services, may deviate from the regular form of examination in order to provide a permanently disabled student with a form of examination equivalent to that of a student without a disability.


Admission requirements:

Assumed prior knowledge: A basic course in mathematical statistics and basic MATLAB programming.
The number of participants is limited to: No
The course overlaps following course/s: FMS210

Reading list

Contact and other information

Teacher: Malin Sjöö,
Course coordinator: Andreas Håkansson,
Course homepage: