Course syllabus

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

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

Valid for: 2014/15
Decided by: Education Board C
Date of Decision: 2014-04-09

General Information

Language of instruction: The course will be given in Swedish

Aim

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

• be able to explain and use basic methods in factorial design,
• be able to explain and use basic methods in cluster analysis, discriminant analysis, principal components, and partial least squares.

Competences and skills
For a passing grade the student must

• plan a factorial design experiment,
• suggest which multivariate statistical method should be used on a given problem,
• structure and analyse multi-dimensional data materials using computer software for multivariate methods, and critically assess the result,
• report the solutions of multivariate statistical problems in written reports and orally at seminars.

Contents

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
Assessment: Written project reports as well as compulsory and active participation in the seminars.

Parts
Code: 0114. Name: Project.
Credits: 7,5. Grading scale: TH. Assessment: Written reports as well as compulsory and active participation in the seminars.
Code: 0214. Name: Laboratory Work.
Credits: 0. Grading scale: UG.

Admission

Admission requirements:

• FMA420 Linear Algebra

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

Reading list

• Brereton, RG: Chemometrics, Data Analysis for the Laboratory and Chemical Plant. Wiley, 2003.

Contact and other information

Course coordinator: Malin Sjöö, malin.sjoo@food.lth.se
Course homepage: http://www.food.lth.se/english/education/undergraduate_education/courses/