101.705 Introduction to Tensor Calculus for Materials Sciences
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2021S, VU, 1.0h, 1.0EC, to be held in blocked form
TUWEL

Properties

  • Semester hours: 1.0
  • Credits: 1.0
  • Type: VU Lecture and Exercise
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to:

  • To define terms and to be able to reproduce mathematical ones.
  • Using methods and concepts and being able to adapt them in different situations.
  • Define terminology and be able to reproduce mathematical sentences.
  • Can adapt computer methods and procedures to given situations.

Subject of course

  • Motivation
  • Column spaces and abstract vector spaces
  • Linear mappings
  • Multilinear mapings and tensors
  • First and second stage tensors
  • Exercise examples, application examples in MATLAB

Teaching methods

Panel presentation for an introduction to the facts and presentation of the concepts and methods. First introductory examples support the introduction and deepening and bridge the tasks in the related exercises.

Mode of examination

Immanent

Additional information

Die LVA wird geblockt abgehalten.

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Tue16:00 - 17:0009.03.2021 Online Zoom Meeting (TUWEL Kurs) (LIVE)Vorbesprechung
Course is held blocked

Examination modalities

Schriftliche Ausarbeitung von Übungsaufgaben, sowie Implementierung von Aufgaben in MATLAB, Mündliche Abschlussprüfung

Course registration

Begin End Deregistration end
05.03.2021 16:00 12.04.2021 08:00 12.04.2021 08:00

Curricula

Study CodeObligationSemesterPrecon.Info
066 434 Materials Sciences Not specified

Literature

Abriss der Tensorrechnung (Kapitel 10 §1)

Gekeler, Eckart W
Mathematische Methoden zur Mechanik: Ein Handbuch mit MATLAB-Experimenten, pp.497-560

Berlin, Heidelberg: Springer Berlin Heidelberg 2006
(Online Zugriff für Studierede der TU WIEN über die UB)

 

Previous knowledge

Linear algebra, uni- and multivariate analysis

Language

German