052101 VU Numerical Algorithms (2019S)
Continuous assessment of course work
Labels
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).
- Registration is open from Mo 11.02.2019 09:00 to We 20.02.2019 23:59
- Deregistration possible until Su 17.03.2019 23:59
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