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Linear Algebra
Lineare Algebra
Last Updated: 2026-02-05 15:35:14
Abstract
Introduction to linear algebra (vector spaces, linear transformations, matrices), inner product, determinants, matrix decompositions (LU, QR, eigenvalue and singular value decomposition).
Objective
- Understand and apply fundamental concepts of linear algebra - Learn about applications of linear algebra
Content
Linear Algebra: Linear systems of equations, vectors and matrices, norms and scalar products, LU decomposition, vector spaces and linear transformations, least squares problems, QR decomposition, determinants, eigenvalues and eigenvectors, singular value decomposition, applications.
Resources
Lecture Notes
Extracts from the lecture notes "Lineare Algebra" (by Gutknecht) in German, with English expressions for all technical terms.
Literature
Recommendations on the course website
Learning Materials (Links)
General Information
- Language
- German
- Levels
- BSC
- Frequency
- Yearly recurring
Examination
- Type
- session examination
- Mode
- written 180 minutes
- Aids
- 12 A4-Seiten handgeschriebene Notizen; kein Taschenrechner.
Course Components
| Type | Title | Time & Place | Hours |
|---|---|---|---|
| lecture |
Lineare Algebra
Die Vorlesungen finden im Hybrid-Modus statt. Ein Teil der Studierenden besucht die Vorlesung im aufgeführten Hörsaal, und der andere Teil der Studierenden verfolgt den Live-Stream im Video-Portal der ETH.
Details und Belegungsplan:
|
|
4 h weekly |
| exercise |
Lineare Algebra
Groups are selected in myStudies.
Do 8-10, Do 10-12 oder Fr 14-16 gemäss Gruppeneinteilung
|
|
2 h weekly |