Universität Wien FIND

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Further information about on-site teaching can be found at https://studieren.univie.ac.at/en/info.

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052101 VU Numerical Algorithms (2019S)

Continuous assessment of course work

Registration/Deregistration

Details

max. 25 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Thursday 07.03. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
Thursday 14.03. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
Thursday 21.03. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
Thursday 28.03. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
Thursday 04.04. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
Thursday 11.04. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
Thursday 02.05. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
Thursday 09.05. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
Thursday 16.05. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
Thursday 23.05. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
Thursday 06.06. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
Thursday 13.06. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
Thursday 27.06. 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

Beyond registration, physical presence is required in the first class on 7.3.2019 in order to be guaranteed a fixed spot in this course.

Grading is based on how many points are achieved for 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