250133 VO Discrepancy Theory and Quadrature (2020S)

3.00 ECTS (2.00 SWS), SPL 25 - Mathematik

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

Language: English

Examination dates

Lecturers

Martin Ehler

Classes (iCal) - next class is marked with N

For Information regarding Home-Learning please see the Moodle-Page of the course

Thursday 05.03. 13:15 - 14:45 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 19.03. 13:15 - 14:45 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 26.03. 13:15 - 14:45 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 02.04. 13:15 - 14:45 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 23.04. 13:15 - 14:45 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 30.04. 13:15 - 14:45 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 07.05. 13:15 - 14:45 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 14.05. 13:15 - 14:45 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 28.05. 13:15 - 14:45 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 04.06. 13:15 - 14:45 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 18.06. 13:15 - 14:45 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 25.06. 13:15 - 14:45 Seminarraum 8 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

We discuss the approximation of probability measures by simpler measures such as measures supported on a finite set of points. Relations to classical quadrature problems are also addressed.

Assessment and permitted materials

oral or written exam

Minimum requirements and assessment criteria

Detailed knowledge of the course material

Examination topics

All topics covered in the lecture

Reading list

Kuipers, Niederreiter: Uniform Distribution of Sequences

Association in the course directory

MAMV, MANV

Last modified: Mo 12.10.2020 13:10