250144 VO Stochastic Partial Differential Equations (2018W)
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).
Details
Language: English
Examination dates
- Monday 11.02.2019
- Thursday 28.02.2019
- Monday 04.03.2019
- Wednesday 06.03.2019
- Thursday 07.03.2019
- Wednesday 13.03.2019
- Wednesday 10.04.2019
- Thursday 16.05.2019
- Tuesday 28.05.2019
- Thursday 13.06.2019
- Monday 17.06.2019
- Thursday 04.07.2019
- Thursday 29.08.2019
- Wednesday 09.10.2019
Lecturers
Classes (iCal) - next class is marked with N
First meeting on Fri. 5.10.2018 @ 8:00 in SR11.
- Friday 05.10. 08:00 - 09:30 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 12.10. 08:00 - 09:30 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 19.10. 08:00 - 09:30 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 09.11. 08:00 - 09:30 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 16.11. 08:00 - 09:30 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 23.11. 08:00 - 09:30 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 30.11. 08:00 - 09:30 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 07.12. 08:00 - 09:30 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 14.12. 08:00 - 09:30 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 11.01. 08:00 - 09:30 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 18.01. 08:00 - 09:30 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Friday 25.01. 08:00 - 09:30 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
Information
Aims, contents and method of the course
This is an introductory course on stochastic partial differential equations. Prerequisites of functional and stochastic analysis will be reviewed. The core of the course will be the so-called 'variational method' for parabolic SPDEs.
Assessment and permitted materials
Oral exam.
Minimum requirements and assessment criteria
The knowledge of the basic questions and techniques from the course.
Examination topics
The whole content of the course.
Reading list
Pervot, Röckner. A Concise Course on Stochastic Partial Differential Equations. Springer, 2017.
Association in the course directory
MAMV, MANV, MSTV
Last modified: Mo 07.09.2020 15:40