Budapest University of Technology and Economics
Faculty of Chemical Technology and Biotechnology

Vegyészmérnöki mesterképzési szak nappali MSc

Subject data sheet

Multivariate Data Evaluation I.

Name of the subject in Hungarian: Többváltozós adatelemzési módszerek

Course ID	Assessment	Credits
BMEVESAM004	2+0+0/f	2

Responsible person and department:

Dr. Lajos Tamás Höfler, Inorganic and Analytical Chemistry

Lecturer:

Name:	Post:	Department:
Dr. Károly Héberger	Scientific advisor	Research Centre for Natural Sciences, Hungarian Academy of Sciences

Subject is based on:

Statistics, Probability Theory, Analytical Chemistry, Instrumental Analysis.

Aim of the subject:

To learn selected methods of multivariate data evaluation, (chemometric techniques); to apply them in practice, with special emphasis on avoiding the most frequent errors.

Program of the subject has been developed by:

Name:	Post:	Department:
Dr. Károly Héberger	Scientific advisor	Research Centre for Natural Sciences, Hungarian Academy of Sciences

Last modified: 2024-01-09 08:57:41