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101.953 AKNUM Scientific Computing for Finite Element Methods
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2022S, VU, 3.0h, 4.5EC
TUWEL

Properties

  • Semester hours: 3.0
  • Credits: 4.5
  • Type: VU Lecture and Exercise
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to implement advanced numerical methods for solving partial differential equations with modern software techniques on up to date hardware architectures

Subject of course

* principle of finite element methods and their implementation

* numerical linear algebra on modern computer architecture 

* parallelization (shared and distributed memory)

 

Teaching methods

Vortrag

working on projectes in small groups

 

Mode of examination

Immanent

Additional information

Topic: Vorbesprechung SC-FEM
Time: Mar 3, 2022 11:00 AM Vienna

Join Zoom Meeting
https://tuwien.zoom.us/j/96715239595?pwd=eEZSNjRLVVBMMmE1bllVZ1pVa3JYQT09

Meeting ID: 967 1523 9595
Password: BdgcQgE4

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Thu17:00 - 19:0010.03.2022 - 23.06.2022Sem.R. DA grün 04 Vorlesung
AKNUM Scientific Computing for Finite Element Methods - Single appointments
DayDateTimeLocationDescription
Thu10.03.202217:00 - 19:00Sem.R. DA grün 04 Vorlesung
Thu17.03.202217:00 - 19:00Sem.R. DA grün 04 Vorlesung
Thu24.03.202217:00 - 19:00Sem.R. DA grün 04 Vorlesung
Thu31.03.202217:00 - 19:00Sem.R. DA grün 04 Vorlesung
Thu07.04.202217:00 - 19:00Sem.R. DA grün 04 Vorlesung
Thu28.04.202217:00 - 19:00Sem.R. DA grün 04 Vorlesung
Thu05.05.202217:00 - 19:00Sem.R. DA grün 04 Vorlesung
Thu12.05.202217:00 - 19:00Sem.R. DA grün 04 Vorlesung
Thu19.05.202217:00 - 19:00Sem.R. DA grün 04 Vorlesung
Thu02.06.202217:00 - 19:00Sem.R. DA grün 04 Vorlesung
Thu09.06.202217:00 - 19:00Sem.R. DA grün 04 Vorlesung
Thu23.06.202217:00 - 19:00Sem.R. DA grün 04 Vorlesung

Examination modalities

Reports and presentation of project results

Course registration

Not necessary

Curricula

Literature

No lecture notes are available.

Previous knowledge

Linear algebra

C++

 

Language

if required in English