101.859 AKNUM Exercise: Numerics of high-dimensional Problems
This course is in all assigned curricula part of the STEOP.
This course is in at least 1 assigned curriculum part of the STEOP.

2020W, UE, 1.0h, 1.5EC

Properties

  • Semester hours: 1.0
  • Credits: 1.5
  • Type: UE Exercise
  • Format: Online

Learning outcomes

After successful completion of the course, students are able to identify problems with high-dimensional structure. They are equipped to estimate approximation errors as well as the cost of  algorithms suitable for those problems.

Subject of course

Neural Networks for PDEs,  Monte Carlo related methods, numerics of stochastic PDEs and PDEs with random coefficients,

Teaching methods

Students prepare homework problems and present them in class

Mode of examination

Immanent

Lecturers

Institute

Examination modalities

2/3*(number of prepared homework problems/ total number of homework problems) + 1/3*(presentation of the problems)

Course registration

Begin End Deregistration end
06.10.2020 13:00 31.10.2020 12:00

Curricula

Study CodeObligationSemesterPrecon.Info
860 GW Optional Courses - Technical Mathematics Not specified

Literature

No lecture notes are available.

Accompanying courses

Miscellaneous

Language

German