Universität Wien
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052101 VU Numerical Algorithms (2018S)

3.00 ECTS (2.00 SWS), SPL 5 - Informatik und Wirtschaftsinformatik
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 01.03. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Thursday 08.03. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Thursday 15.03. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Thursday 22.03. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Thursday 12.04. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Thursday 19.04. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Thursday 26.04. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Thursday 03.05. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Thursday 17.05. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Thursday 24.05. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Thursday 07.06. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Thursday 14.06. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Thursday 21.06. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Thursday 28.06. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG

Information

Aims, contents and method of the course

Get acquainted with fundamental concepts of numerical algorithms (approximations in numerical computation, conditioning, numerical stability) and with techniques for the analysis of numerical algorithms (perturbation theory). Study selected numerical algorithms in detail. Understand the interdependencies between problem data, numerical algorithm, implementation of the algorithm, hardware, performance and accuracy.

Assessment and permitted materials

Three sets of homework problems (with theoretical and programming components - implementation, experimentation, analysis); occasional quizzes in class; test at the end of the semester.

Minimum requirements and assessment criteria

Grading is based on how many points are achieved per each set of homework problems, for the quizzes and for the test. At least half of the maximum possible total number of points is required for passing the course.

Examination topics

Material presented in class and contents of homework problems.

Reading list

Slides; M. T. Heath: “Scientific Computing – an Introductory Survey”

Association in the course directory

Module: CNA ESC

Last modified: Mo 07.09.2020 15:30