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 with merit, Pass, Pass with distinction, Pass, Fail
Responsible department: Department of Chemistry
Contents
The course will give an introduction to multivariate data analysis in chemistry and chemical industry. The course comprises the model concept, fit of empirical models to chemical data, statistical experimental design, optimization of chemical processes and projection methods for for visualization of multivariate chemical data and multivariate process data. The course comprises lectures, exercise in visualization of chemical multivariate process data.The laboratory work illustrates synthesis optimization and analysis of chemical process data.
Required Knowledge
Univ: Engineering Chemistry I (5KE040, 7.5 credits) and Engineering Chemistry II (5KE090, 7.5 credits) and Statistics for Engineers (5MS008, 7.5 credits), or the equivalent.
Proficiency in English equivalent to Swedish upper secondary course English A (IELTS (Academic) with a minimum overall score of 5.5 and no individual score below 5.0. TOEFL PBT
(Paper-based Test) with a minimum total score of 530 and a minimum TWE score of 4. TOEFL iBT (Internet-based Test) with a minimum total score of 72 and a minimum score of 17 on the Writing Section).
Where the language of instruction is Swedish, applicants must prove proficiency in Swedish to the level required for basic eligibility for higher studies.
Literature
Valid from:
2011 week 36
Design of experiments (DOE). Umeå : Umetrics Academy : cop. 2004 : 468 s. :
Eriksson Lennart Multi- and megavariate data analysis. 2., rev. and enl. ed. : Umeå : Umetrics Academy : 2006 : xii, 425 s. : ISBN: 91-973730-2-8 Search the University Library catalogue
