19301001
Lecture
SoSe 16: Lineare Algebra für Informatik
Frank Hoffmann
Additional information / Pre-requisites
The sign-up for the tutorial sessions will be announced in due time.
Comments
- linear algebra:
- vector space, basis and dimension;
- linear map, matrix and rank;
- Gauss-elimination and linear systems of equations;
- determinants, eigenvalues and eigenvectors;
- euclidean vector spaces and orthonormalization;
- principal component transformation;
- Applications of linear algebra in affine geometry, statistics, and coding theory (linear codes)
Suggested reading
- Klaus Jänich: Lineare Algebra, Springer-Lehrbuch, 10. Auflage 2004
- Dirk Hachenberger: Mathematik für Informatiker, Pearson 2005
- G. Grimmett, D. Welsh: Probability - An Introduction, Oxford Science Publications 1986
- Kurt Meyberg, Peter Vachenauer: Höhere Mathematik 1, Springer-Verlag, 6.Auflage 2001
- G. Berendt: Mathematik für Informatiker, Spektrum Akademischer Verlag 1994
- Oliver Pretzel: Error-Correcting Codes and Finite Fields, Oxford Univ. Press 1996
27 Class schedule
Additional appointments
Wed, 2016-10-12 15:00 - 17:30Nachklausur
Wed, 2016-10-12 15:00 - 17:30
Nachklausur
Location:
A6/SR 031 Seminarraum (Arnimallee 6)
Regular appointments
Tue, 2016-04-19 10:00 - 12:00
Tue, 2016-04-26 10:00 - 12:00
Tue, 2016-05-03 10:00 - 12:00
Tue, 2016-05-10 10:00 - 12:00
Tue, 2016-05-17 10:00 - 12:00
Tue, 2016-05-24 10:00 - 12:00
Tue, 2016-05-31 10:00 - 12:00
Tue, 2016-06-07 10:00 - 12:00
Tue, 2016-06-14 10:00 - 12:00
Tue, 2016-06-21 10:00 - 12:00
Tue, 2016-06-28 10:00 - 12:00
Tue, 2016-07-05 10:00 - 12:00
Tue, 2016-07-12 10:00 - 12:00
Tue, 2016-07-19 10:00 - 12:00
Thu, 2016-04-21 10:00 - 12:00
Thu, 2016-04-28 10:00 - 12:00
Thu, 2016-05-12 10:00 - 12:00
Thu, 2016-05-19 10:00 - 12:00
Thu, 2016-05-26 10:00 - 12:00
Thu, 2016-06-02 10:00 - 12:00
Thu, 2016-06-09 10:00 - 12:00
Thu, 2016-06-16 10:00 - 12:00
Thu, 2016-06-23 10:00 - 12:00
Thu, 2016-06-30 10:00 - 12:00
Thu, 2016-07-07 10:00 - 12:00
Thu, 2016-07-14 10:00 - 12:00
Thu, 2016-07-21 10:00 - 12:00
Klausur