260069 PUE Computational Physics (2020W)
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 07.09.2020 08:00 to Mo 28.09.2020 07:00
- Deregistration possible until Fr 30.10.2020 23:59
Details
max. 25 participants
Language: German
Lecturers
Classes (iCal) - next class is marked with N
- Friday 09.10. 15:30 - 17:00 Digital
- Friday 16.10. 15:30 - 17:00 Digital
- Friday 23.10. 15:30 - 17:00 Digital
- Friday 30.10. 15:30 - 17:00 Digital
- Friday 06.11. 15:30 - 17:00 Digital
- Friday 13.11. 15:30 - 17:00 Digital
- Friday 20.11. 15:30 - 17:00 Digital
- Friday 27.11. 15:30 - 17:00 Digital
- Friday 04.12. 15:30 - 17:00 Digital
- Friday 11.12. 15:30 - 17:00 Digital
- Friday 18.12. 15:30 - 17:00 Digital
- Friday 08.01. 15:30 - 17:00 Digital
- Friday 15.01. 15:30 - 17:00 Digital
- Friday 22.01. 15:30 - 17:00 Digital
Information
Aims, contents and method of the course
Assessment and permitted materials
Submission of exercises and presentation. Preparation and presentation of a small project at the end of the course.
Due to COVID19 this will be a virtual lecture. Attendence during the lecture is still compulsory and presentation will be made online.
Due to COVID19 this will be a virtual lecture. Attendence during the lecture is still compulsory and presentation will be made online.
Minimum requirements and assessment criteria
Minimum requirements: exercises and projects must be positive to pass the exam
Evaluation: exercises (80%), project (20%)
Evaluation: exercises (80%), project (20%)
Examination topics
Reading list
Skriptum zur Vorlesung (Moodle)
Association in the course directory
WPF 1, MF 1, MF 9, UF MA PHYS 01a, UF MA PHYS 01b
Last modified: Fr 12.05.2023 00:21
The first part of this two-semester course, which aims at depth rather than breadth, offers an introduction to the following topics:
(Fast) Fourier Transform
Finite Difference Equations
Partial Differential Equations
Solution of Large Systems of Equations
Finite Elements
Monte Carlo Methods.