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280418 VU Introduction to Numerical Methods (2024W)

6.00 ECTS (4.00 SWS), SPL 28 - Erdwissenschaften, Meteorologie - Geophysik und

Continuous assessment of course work

Moodle

We 02.10. 09:45-11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17

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 Th 05.09.2024 00:00 to Mo 23.09.2024 23:59
Deregistration possible until Th 31.10.2024 23:59

Details

max. 60 participants

Language: German

Lecturers

Classes (iCal) - next class is marked with N

Exercise group 1: Thursday 15:00-16:30
Exercise group 2: Thursday 16:45-18:15

N Wednesday 02.10. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 03.10. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 03.10. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Wednesday 09.10. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 10.10. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 10.10. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Wednesday 16.10. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 17.10. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 17.10. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Wednesday 23.10. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 24.10. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 24.10. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Wednesday 30.10. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 31.10. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 31.10. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Wednesday 06.11. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 07.11. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 07.11. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Wednesday 13.11. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 14.11. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 14.11. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Wednesday 20.11. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 21.11. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 21.11. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Wednesday 27.11. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 28.11. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 28.11. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Wednesday 04.12. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 05.12. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 05.12. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Wednesday 11.12. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 12.12. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 12.12. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Wednesday 08.01. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 09.01. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 09.01. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Wednesday 15.01. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 16.01. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 16.01. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Wednesday 22.01. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 23.01. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 23.01. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Wednesday 29.01. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 30.01. 15:00 - 16:30 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 30.01. 16:45 - 18:15 Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17

Information

Aims, contents and method of the course

The aim of the course is to equip the students with important numerical methods relevant to astrophysics: solution of linear and non-linear problems, numerical differentiation and integration, numerical solution of ordinary differential equations, approximation of functions, interpolation and extrapolation of functions, discrete Fourier transform, sampling of distributions, optimization, data visualization, introductory machine learning techniques, maximum likelihood and MCMC fitting techniques.

This will be achieved through lectures focused on the theory and exercises focused on the practical implementation of the numerical methods. The programming language that will be used to present algorithms is python; students will receive an introductory tutorial to provide them with the necessary background to successfully carry out the computational tasks.

Assessment and permitted materials

Total grade: lectures 50% + exercises 50%

Lectures: Two mini-tests, each accounting for 25% of the final grade from the lectures.

Exercises: weekly homework based on the lectures topics. The grade will depend on the evaluation of the submitted exercises and on the evaluation of the submitted report for a mini-project, each accounting for 25% of the final grade.

Minimum requirements and assessment criteria

The submission of at least 75% of the exercise sheets and of the mini-project is required. Participation in both exams is also mandatory.

Examination topics

Based on the content of the lectures and on exercises similar to those proposed in the weekly exercise sheets. Indeed, homework, solved as part of the exercises, will aid and test students' understanding of the material covered in the lectures by applying numerical methods to real datasets.

Reading list

The lecture notes are provided as PDF files.

Selected chapters in the following literature are recommended:
- Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data (Ivezić, Željko et al.) [only physical copies]
- Press, Teukolsky, Vetterling, Flannery: Numerical Recipes
- Strang, G.: Introduction to Applied Mathematics

Association in the course directory

NUM; PM-NumMeth;

Last modified: Tu 24.09.2024 13:26