Introductory Chemometrics

Introductory course on Multivariate Data Analysis for 7th semester for students in Chemical Engineering (mandatory), optional for other students. The course comprises 24h lectures and 24h practical exercises.

Student/participant requirements: basic math and moderate PC skills.
Study load: 2 ECTS.
Course evaluation: individual practical exam (PC work).
Course curriculum: Multivariate data Analysis in Practice, 5.th Ed. by Kim Esbensen, CAMO Publ. (596 p).

Course contents (main topics):

• Projection approach to data analysis
• Principal Component Analysis (PC
• Classification with SIMCA
• Multivariate calibration (PCR and PLS)
• Reliable Validation
• Introduction to preprocessing
• Representative sampling for reliable data analysis, Theory of Sampling (TOS)

ACABS also provides this course for external parties/ industry.