SoSe 17: Linear Algebra for Computer Science
Klaus Kriegel
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, 2017-08-02 13:00 - 15:00
Location:
T9/SR 006 Seminarraum (Takustr. 9)
T9/Gr. Hörsaal (Takustr. 9)
Location:
HFB/A Hörsaal (Garystr. 35-37)
HFB/C Hörsaal (Garystr. 35-37)
Regular appointments
Location:
T9/Gr. Hörsaal (Takustr. 9)
Location:
T9/Gr. Hörsaal (Takustr. 9)
Location:
T9/Gr. Hörsaal (Takustr. 9)
Location:
T9/Gr. Hörsaal (Takustr. 9)
Location:
T9/Gr. Hörsaal (Takustr. 9)
Location:
T9/Gr. Hörsaal (Takustr. 9)
Location:
T9/Gr. Hörsaal (Takustr. 9)
Location:
T9/Gr. Hörsaal (Takustr. 9)
Location:
T9/Gr. Hörsaal (Takustr. 9)
Location:
T9/Gr. Hörsaal (Takustr. 9)
Location:
T9/Gr. Hörsaal (Takustr. 9)
Location:
T9/Gr. Hörsaal (Takustr. 9)
Location:
A3/Hs 001 Hörsaal (Arnimallee 3-5)