Main Field of Study and progress level:
Chemistry: Second cycle, in-depth level of the course cannot be classified
Grading scale: TH teknisk betygsskala
Responsible department: Department of Chemistry
Contents
The aim of the course is to give deep knowledge about empirical modelling and visualization of multivariate data generated from different dynamic processes.
After fulfilled course the student will have deeper knowledge about
-dynamic chemical process data
-physical-chemical methods for characterization of processes
-model validation, interpretation and visualization of process data.
Required Knowledge
Chemometrics (15 ECTS, 5KE052 or 7.5 ECTS, 5KE053), or the equivalent. English proficiency equivalent to IELTS Academic Training - minimum score 5.0 with no individual score below 4.5 (test taken before January 2005 no admissible), or TOEFL - minimum score 500 on paper based test and not below 4.0 on the TWE, alternatively 173 on computer based test with iBT61 is also required as well as basic entrance requirements for higher studies in Swedish language proficiency if the course is taught in Swedish.
Literature
Valid from:
2009 week 36
Eriksson et al Introduction to Multi and Megavariate data