Universität Wien

052101 VU Numerical Algorithms (2025S)

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 06.03. 13:15 - 14:45 Hörsaal II NIG Erdgeschoß
  • Donnerstag 13.03. 13:15 - 14:45 Hörsaal II NIG Erdgeschoß
  • Donnerstag 20.03. 13:15 - 14:45 Hörsaal II NIG Erdgeschoß
  • Donnerstag 27.03. 13:15 - 14:45 Hörsaal II NIG Erdgeschoß
  • Donnerstag 03.04. 13:15 - 14:45 Hörsaal II NIG Erdgeschoß
  • Donnerstag 10.04. 13:15 - 14:45 Hörsaal 21 Hauptgebäude, Hochparterre, Stiege 8
  • Donnerstag 15.05. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Donnerstag 22.05. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Donnerstag 05.06. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Donnerstag 12.06. 13:15 - 14:45 Seminarraum 7, Währinger Straße 29 1.OG
  • Donnerstag 26.06. 13:15 - 14:45 Hörsaal 21 Hauptgebäude, Hochparterre, Stiege 8

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, etc.). 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 applying concepts from class (with programming components - implementation, experimentation, analysis); selected presentations of your own solution to homework problems in class; two written tests (closed book, in the middle and at the end of the semester).

This class will be given on-site. Attendance is at least required for the first class, for the discussion of homeworks and for the two written tests.

You are welcome to orally discuss the homework problems among each other. However, the homeworks are not group work, but are designed such that every student needs to individually produce and submit their own implementation.

Mindestanforderungen und Beurteilungsmaßstab

PLEASE NOTE: You have to be present and sign in the first class on 6.3.2025 in order to guarantee your fixed spot in the course! If you are not present in the first class you will be signed out to make space for other students currently on the waiting list. Students on the waiting list also have to be present and sign in the first class in order to move up from the waiting list in case space in the course should become available.

If you are present and sign in the first class, you can still decide to drop the course until 14.03.2025.

Grading:
Maximum number of points for the entire course: 100 points
Maximum number of points for the three homework problems: 24 points
Maximum number of points for the two written tests: 76 points

Your final grade is based on the points you achieve for each homework problem and the tests. At least 50 points in total are required for passing the course. Additionally, you need to achieve at least 38 points on the two tests combined to pass the course. There might be the opportunity to earn a small number of bonus points.

Attendance is strongly recommended, and formally required for some dates (formally required for the first class, for the discussion of homeworks and for the two written tests, see section above).

Prüfungsstoff

You need to study the material presented in class and the content of the homework problems. The two written tests will cover all the material from the classes and the homeworks. The specific material relevant to each test will be specified in the first lecture.

Literatur

Lecture slides (which will be made available in Moodle)

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

Zuordnung im Vorlesungsverzeichnis

Module: CNA ESC

Letzte Änderung: Mo 17.03.2025 11:05