# Sprungmarken

• Studium & Lehre

# Nebeninhalt

### Empfohlene Literatur

• will be announced

## Vorlesung

Nummer
012500, WS2122
Dozentinnen und Dozenten
Veranstaltungstyp
Vorlesung, 3+2
Ort und Zeit
M/E28 Di 09:00 1h
M/E29 Do 14:00 2h
Modul-Zugehörigkeit (ohne Gewähr)
SRV:-:-:S-R100 – Mathematik für Automation and Robotics
DPL:F:-:1 – Mathematik für andere Fächer (Service)
DPL:A:-:- – Mathematik für andere Fächer (Service)
Beginn der Veranstaltung
Di. 12.10.2021 M/E28 09:00h
Gewünschte Vorkenntnisse
Introductory knowledge in: - Calculus - Linear Algebra - Ordinary Differential Equations
Erforderliche Voraussetzungen
3G
Inhalt

This lecture will prepare Engineering students with mathematical foundation with the following details: Solving LES with GA, Vector spaces, Matrix and linear maps, Linear system of equations, Gauss-algorithm and LU-decomposition, Eigenvalues and its properties, Properties of symmetric matrices, SVD, Generalised inverse problem, QR-decomposition, Norms, Numeric of eigenvalues, Errors, Best fit functions, ODE, Linear diff. eqn. with constant coeff., Linear diff. eqn. of higher order, Multivariate/Multivariable Calculus with more variables, Inverse and implicit functions, Taylor expansions, Symm. matrix and quadratic forms, Extreme values, Stability of ODE.

Syllabus and homeworks are provided later on the lecture's Moodle-site.

Lectures:
M/E28 Di 09:00 1h
M/E29 Do 14:00 2h

Tutorial will be given in groups. There will be 2 or 3 Groups depends on the number of participants, and this will be announced as well in Moodle.

Pandemie: for the participation in Lectures and Tutorials, you must be under 3G-rules.

Bemerkungen

Link zu den Modulbeschreibungen im Service

Empfohlene Literatur
• will be announced

## Übungen

Leiter der Übung
Hogenrich Damanik
Nummer der Übung
012501
Übungsgruppen
HGII/HS4 Mi 12:00 2h
M/E25 Do 10:00 2h