In this course we will address advanced topics in computational physics: Finite Volume methods, Monte Carlo methods, Particle In Cell methods, parallelization (shared and distributed memory), elements of Machine Learning.
Schedule: the course is composed of lectures (2h/ week) and exercises (2h/ week). Attendance to exercises is compulsory
Prerequisites: Computational Physics I is not compulsory but strongly recommended. Basic experience with computer programming is needed
Exam: the exam will consist of hands-on projects, the list of projects will be made available in mid-May. Attendance to exercises will be taken into account in the final evaluation.
The first meeting will be on Tuesday, April 5th, at 2:00pm on Zoom (link visible after registration)
During the first meeting important scheduling decisions will be taken: final schedule of the lectures, number and schedule of the exercise groups. Be sure to participate!
If you have questions or comments, please contact me at mariaelena.innocenti@rub.de
- Kursleiter/in: Maria Elena Innocenti