101.401 Seminar with a term paper; numerics
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, SE, 2.0h, 3.0EC

Properties

  • Semester hours: 2.0
  • Credits: 3.0
  • Type: SE Seminar
  • Format: Presence

Learning outcomes

After successful completion of the course, students are able to understand and present materials from the mathematical literature, not only in a 1:1 reproduction but in their personal way concerning the presentment and interpretation.

Alternatively, soft skills can be developed in small groups.

Subject of course

We deal with the numerical treatment of ordinary differential equations (ODEs),
one of the most important fields in Numerical Analysis.
The first talk will possibly be given by the professors to specify and illustrate
the most important basic notions which characterize numerical methods.
Further talks to be presented by the students will be devoted to various
classes of problems and numerical methods.

Contact Ewa Weinmüller by mail for more information, e.weinmueller@tuwien.ac.at

Teaching methods

Use of blackboard, possibly combined with beamer presentation. Handout, and accordingly presentation of own numerical results.

Mode of examination

Immanent

Additional information

Please consider the plagiarism guidelines of TU Wien when writing your seminar paper: Directive concerning the handling of plagiarism (PDF)

Lecturers

Institute

Course dates

DayTimeDateLocationDescription
Mon14:00 - 15:0014.03.2022 preliminary discussion

Examination modalities

Assessment of talk, attendance in seminar, and seminar paper

Course registration

Begin End Deregistration end
03.03.2022 08:00 16.03.2022 23:59 04.04.2022 22:00

Group Registration

GroupRegistration FromTo
Seminar mit Seminararbeit aus Numerik SS 201607.03.2022 08:0004.04.2022 22:00

Curricula

Study CodeSemesterPrecon.Info
033 201 Technical Mathematics 5. SemesterSTEOP
Course requires the completion of the introductory and orientation phase

Literature

No lecture notes are available.

Previous knowledge

Basic knowledge in analysis, linear algebra, and numerical analysis

Language

German