Multivariate methods I

The following components are treated:
- matrix algebra and multivariate normal distribution
- multivariate variance analysis and multivariate regression,
- cluster analysis and discriminant analysis,
- principal component analysis, factor analysis, and canonical correlation.

Applications are computer illustrated.

Progressive specialisation: G1F (has less than 60 credits in first‐cycle course/s as entry requirements)

Education level: Undergraduate level

Selection:

Selection is usually based on your grade point average from upper secondary school or the number of credit points from previous university studies, or both.