280326 VU VU Numerical methods (PI) (2021W)

8.00 ECTS (5.00 SWS), SPL 28 - Erdwissenschaften, Meteorologie - Geophysik und

Continuous assessment of course work

MIXED

Moodle

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 We 08.09.2021 10:00 to We 29.09.2021 23:59
Registration is open from Fr 01.10.2021 10:00 to We 13.10.2021 23:59
Deregistration possible until We 13.10.2021 23:59

Details

max. 90 participants

Language: English

Lecturers

Classes (iCal) - next class is marked with N

[UPDATE 22.11.2021] - Starting from tomorrow, all lectures and exercise sessions will take place exclusively online through Zoom sessions in Moodle. Tutoring sessions will take place exclusively online through Zoom sessions in Moodle.
[UPDATE 18.01.2022] Exams will be online -- the second exam will take place on February 1st at 15:00. Details will be available on Moodle.

Tuesday 05.10. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Thursday 07.10. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 07.10. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 12.10. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Thursday 14.10. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 14.10. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 19.10. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Thursday 21.10. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 21.10. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 28.10. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 28.10. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 04.11. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 04.11. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 09.11. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Thursday 11.11. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 11.11. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 16.11. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Thursday 18.11. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 18.11. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 23.11. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Thursday 25.11. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 25.11. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 30.11. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Thursday 02.12. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 02.12. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 07.12. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Thursday 09.12. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 09.12. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 14.12. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Thursday 16.12. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 16.12. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 11.01. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Thursday 13.01. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 13.01. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 18.01. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Thursday 20.01. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 20.01. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 25.01. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Thursday 27.01. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 27.01. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Seminarraum 1 Astronomie Sternwarte, Türkenschanzstraße 17

Information

Aims, contents and method of the course

The aim of the course is to provide the student with the following tools/skills: statistical methods and test, integration methods for common differential equations, regression and equalization calculus, approximation of functions, interpolation of functions, sampling of distributions, maximum likelihood and MCMC fitting techniques.
This will be achieved through lectures focused on the theory and exercises focused on the practical implementation of statistical tools and 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, currently planned on 9 December 2021 and 1 February 2022 and contributing respectively 20% and 30% to the final 50% grade from the lectures.

Exercises: weekly homework based on the lectures topics. The grade will depend on the following components: number of exercise sheets handed in, evaluation of a sub-set of the submitted exercises, evaluation of the submitted report for a mini-project, and evaluation of 2 blackboard (or online) presentation during the exercise sessions. The exact contributions of these items to the exercise grade will be communicated at the beginning of the course.

Minimum requirements and assessment criteria

In both parts (lectures and exercises, including the mini-project) a minimum of 50% has to be achieved to count as passing. The submission of at least 6/9 exercise sheets is also required. Moreover, each student is required to give at least one successful solution presentation during the exercise sessions.

Examination topics

Based on the content of the lectures, for each of the two parts of the course (the first focused more on statistics, the second on numerical methods). Homeworks, solved as part of the exercises, will aid and test students' understanding of the material covered in the lectures by applying statistical tools and numerical methods to real datasets.

Reading list

The lecture notes are provided as PDF files.

Selected chapters in the following literature are recommended:
- Statistics in Theory and Practice (Robert Lupton) [online version available at the library]
- 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
- DeGroot and Shervish: Probability and Statistics
- Strang, G.: Introduction to Applied Mathematics
- Durran, D.: Numerical Methods for Wave Equations in Fluid Dynamics
- Hantel and Haimberger: Grundkurs Klima (Chap 2), Springer 2016

Association in the course directory

Last modified: Th 31.10.2024 00:16