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Mathematical Foundations II: Linear Algebra
Grundlagen der Mathematik II (Lineare Algebra)
Last Updated: 2026-06-01 11:33:00
Abstract
Systems of linear equations; matrix algebra, determinants; vector spaces, norms and scalar products; linear maps, basis transformations; eigenvalues and eigenvectors.
Objective
TO BE REVISED A sound knowledge of mathematics is an essential prerequisite for a quantitative and computer-based approach to natural sciences. In an intensive two-semester course the most important basic concepts of mathematics, namely univariate and multivariate calculus, linear algebra and statistics are taught.
Content
Systems of linear equations; matrix algebra, determinants; vector spaces, norms and scalar products; linear maps, basis transformations; eigenvalues and eigenvectors.
Resources
Lecture Notes
There is a short script (in German) which summarizes the main concepts and results without examples. For a self-contained presentation, the book by Nipp and Stoffer should be used.
Literature
K. Nipp/D. Stoffer: "Lineare Algebra", vdf, 5th edition,
General Information
- Language
- German
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 60 minutes
- Aids
- Beliebige schriftliche Unterlagen, PC mit Matlab
- Digital
- The exam takes place on devices provided by ETH Zurich.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture | Grundlagen der Mathematik II (Lineare Algebra) |
|
16 h semesterly |
| exercise |
Grundlagen der Mathematik II (Lineare Algebra)
Groups are selected in myStudies.
Mo 16-17, Do 10-11 oder Do 11-12 gemäss Gruppeneinteilung (selbe Räume wie für 401-0622-02 U)
Fr 10-11 oder Fr 11-12 für Studiengang Biochemie - Chemische Biologie
|
|
8 h semesterly |