250337 VO Introduction to linear algebra and geometry (2008S)
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Details
Language: German
Lecturers
Classes (iCal) - next class is marked with N
Monday
21.04.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Wednesday
23.04.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Monday
28.04.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Wednesday
30.04.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Monday
05.05.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Wednesday
07.05.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Wednesday
14.05.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Monday
19.05.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Wednesday
21.05.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Monday
26.05.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Wednesday
28.05.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Monday
02.06.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Wednesday
04.06.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Monday
09.06.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Wednesday
11.06.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Monday
16.06.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Wednesday
18.06.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Monday
23.06.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Wednesday
25.06.
17:00 - 19:00
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Information
Aims, contents and method of the course
Assessment and permitted materials
Minimum requirements and assessment criteria
understanding of the subject
Examination topics
lecture
Reading list
(Auswahl) Gilbert Strang, Lineare Algebra; Howard Anton: Lineare Algebra; Herbert Muthsam: Linear algebra und ihre Anwendungen; H.-J. Kowalsky, G. O. Michler: Lineare Algebra
Association in the course directory
EHM
Last modified: Sa 02.04.2022 00:24
vectors, matrices, inner product, norm; systems of linear equations, Gaussian algorithm; abstract vector spaces with K^n as standard example; subspaces, linear independence, basis, dimension; linear mappings, image, kernel, change of bases, elementary matrix transformations, rank; inversion of matrices