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Archived Curricula Guide 2011–2012
Curricula Guide is archieved. Please refer to current Curricula Guides
TILTA2A Matrix Algebra for Statistics I 4 ECTS

Learning outcomes

Familiarize the student to the basic matrix methods used in statistics.


See the objectives.

Teaching language


Modes of study


Numeric 1-5.

Recommended year of study

2. year autumn

Study materials

  1. Isotalo, J., Puntanen, S., Styan, G. P. H., Formulas useful for linear regression analysis and related matrix theory, 4th ed. A384/MTL, University of Tampere 2008.
  2. Puntanen, S., Matriiseja tilastotieteilijälle. B47/MTF, University of Tampere 1998.
  3. Searle, S. R., Matrix algebra useful for statistics. Wiley 1982.

Belongs to following study modules

School of Information Sciences
Archived Teaching Schedule. Please refer to current Teaching Shedule.
School of Information Sciences