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250028 VO Introduction to linear algebra and geometry (2013S)
Labels
for further information see http://www.mat.univie.ac.at/~schlosse/courses/LAG/LAG.html
Details
Language: German
Examination dates
- Friday 28.06.2013
- Friday 28.06.2013
- Wednesday 24.07.2013
- Tuesday 30.07.2013
- Thursday 19.09.2013
- Thursday 19.09.2013
- Thursday 23.01.2014
- Thursday 13.02.2014 10:00 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Friday 11.04.2014
- Tuesday 08.08.2017
Lecturers
- Michael Schlosser
- Manuel Urbina Moreano (Student Tutor)
Classes (iCal) - next class is marked with N
- Wednesday 24.04. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Thursday 25.04. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Thursday 02.05. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Wednesday 08.05. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Wednesday 15.05. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Thursday 16.05. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Wednesday 22.05. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Thursday 23.05. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Wednesday 29.05. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Wednesday 05.06. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Thursday 06.06. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Wednesday 12.06. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Thursday 13.06. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Wednesday 19.06. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Thursday 20.06. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Wednesday 26.06. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
- Thursday 27.06. 08:00 - 10:00 Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Information
Aims, contents and method of the course
elementary calculations in R^n, column and row vectors, matrices, inner product, norm; system of linear equations, Gaussian algorithm, general notion of vector space with standard example K^n; subspaces, linear independence, basis, dimension; linear maps, image, kernel, basis transformation, elementary matrix transformations, rank; matrix inversion
Assessment and permitted materials
written exam at the end of the course
Minimum requirements and assessment criteria
Aquirement and comprehension of important basic notions in linear algebra
Examination topics
(With the help of selected examples) basic concepts of linear algebra (and geometry) shall be communicated
Reading list
Chapters 0-2 of Gerd Fischer, Lineare Algebra, 17th edition, Vieweg+Teubner, 2010
Association in the course directory
EHM, LA1
Last modified: Sa 02.04.2022 00:24