Main Field of Study and progress level:
Chemistry: First cycle, in-depth level of the course cannot be classified
Grading scale: Pass with distinction, Pass, Fail
Responsible department: Department of Chemistry
Contents
The course treats the following moments; The basics of chemical data analysis, the relation between model and data, experimental design and optimisation, multivariate data analysis and applications of the mentioned techniques in research and development.
Compulsory laboratory experiments are included in the course.
Required Knowledge
Passed courses in Chemistry, 45 credits, or the equivalent.
Literature
Valid from:
2008 week 36
Kemometrigruppen Umeå universitet Design of Experiments and Introduction to Multi- and Megavariate Data Analysis using Projection Methods.