Universität Wien FIND

052101 VU Numerical Algorithms (2020W)

Prüfungsimmanente Lehrveranstaltung

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 50 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Donnerstag 09:45 - 11:15 online (ausgenommen Test)

Donnerstag 01.10. 09:45 - 11:15 Digital
Donnerstag 08.10. 09:45 - 11:15 Digital
Donnerstag 15.10. 09:45 - 11:15 Digital
Donnerstag 22.10. 09:45 - 11:15 Digital
Donnerstag 29.10. 09:45 - 11:15 Digital
Donnerstag 05.11. 09:45 - 11:15 Digital
Donnerstag 12.11. 09:45 - 11:15 Digital
Donnerstag 19.11. 09:45 - 11:15 Digital
Donnerstag 26.11. 09:45 - 11:15 Digital
Donnerstag 03.12. 09:45 - 11:15 Digital
Donnerstag 10.12. 09:45 - 11:15 Digital
Donnerstag 17.12. 09:45 - 11:15 Digital
Donnerstag 07.01. 09:45 - 11:15 Digital
Donnerstag 14.01. 09:45 - 11:15 Digital
Donnerstag 21.01. 09:45 - 11:15 Digital
Hörsaal 41 Gerda-Lerner Hauptgebäude, 1.Stock, Stiege 8
Donnerstag 28.01. 09:45 - 11:15 Digital

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

Three sets of homework problems (with theoretical and programming components - implementation, experimentation, analysis); selected presentations of your own solution to homework problems in class (online), occasional quizzes (online) in class; written test (online) at the end of the semester.

PLEASE NOTE: Due to the Covid-19 situation, we decided to switch to an online written test (instead of presence) at the end of the semester.

Mindestanforderungen und Beurteilungsmaßstab

PLEASE NOTE: You have to participate (online) in the first class in order to guarantee your fixed spot in the course. If you do not participate in the first class you may be signed out to make space for other students currently on the waiting list.

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.

Prüfungsstoff

Material presented in class and contents of homework problems.

Literatur

Lecture slides

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

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Di 02.11.2021 14:27