Universität Wien FIND

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280326 VU VU Numerical methods (PI) (2020W)

Continuous assessment of course work

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).

Details

max. 150 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Lecture: Tuesday weekly from 06.10.2020 to 26.01.2021 15.00-17.30 Place: UZA II, Lecture hall 3 2A211 (and potentially also in 2B201; further information will be given during the first lecture and possible changes communicated in due time).

Exercises for astronomy students: Thursday weekly from 08.10.2020 to 28.01.2021 9.45-11.15 and 11.30-13.00 Place: Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17 129. Important: the students will be split into two groups, and each group will attend one of the two tutorials (both tutorials will be the same). Given the current Covid-19 restrictions, half of the students will attend in person while the other half will join online, alternating each week. Further information will be given during the first exercise session and possible changes will be communicated in due time.

Exercises for Meteorology students: Wednesday weekly from 7.10.2020 to 28.01.2021 8:30-10:00. Place: UZAII Room 2E206

Tuesday 06.10. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Thursday 08.10. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 08.10. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 13.10. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Thursday 15.10. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 15.10. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 20.10. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Thursday 22.10. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 22.10. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 27.10. 15:00 - 17:30 Geol.-Praktikumsraum 2B201 2.OG UZA II
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Thursday 29.10. 09:45 - 11:15 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 29.10. 11:30 - 13:00 Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 03.11. 15:00 - 17:30 Digital
Geol.-Praktikumsraum 2B201 2.OG UZA II
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Thursday 05.11. 09:45 - 11:15 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 05.11. 11:30 - 13:00 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 10.11. 15:00 - 17:30 Digital
Geol.-Praktikumsraum 2B201 2.OG UZA II
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Thursday 12.11. 09:45 - 11:15 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 12.11. 11:30 - 13:00 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 17.11. 15:00 - 17:30 Digital
Geol.-Praktikumsraum 2B201 2.OG UZA II
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Thursday 19.11. 09:45 - 11:15 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 19.11. 11:30 - 13:00 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 24.11. 15:00 - 17:30 Digital
Geol.-Praktikumsraum 2B201 2.OG UZA II
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Thursday 26.11. 09:45 - 11:15 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 26.11. 11:30 - 13:00 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 01.12. 15:00 - 17:30 Digital
Geol.-Praktikumsraum 2B201 2.OG UZA II
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Thursday 03.12. 09:45 - 11:15 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 03.12. 11:30 - 13:00 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 10.12. 09:45 - 11:15 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 10.12. 11:30 - 13:00 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 15.12. 15:00 - 17:30 Digital
Geol.-Praktikumsraum 2B201 2.OG UZA II
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Thursday 17.12. 09:45 - 11:15 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 17.12. 11:30 - 13:00 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 07.01. 09:45 - 11:15 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 07.01. 11:30 - 13:00 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 12.01. 15:00 - 17:30 Digital
Geol.-Praktikumsraum 2B201 2.OG UZA II
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Thursday 14.01. 09:45 - 11:15 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 14.01. 11:30 - 13:00 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 19.01. 15:00 - 17:30 Digital
Geol.-Praktikumsraum 2B201 2.OG UZA II
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Thursday 21.01. 09:45 - 11:15 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 21.01. 11:30 - 13:00 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Tuesday 26.01. 15:00 - 17:30 Digital
Geol.-Praktikumsraum 2B201 2.OG UZA II
Hörsaal 3 2A211 2.OG UZA II Geo-Zentrum
Thursday 28.01. 09:45 - 11:15 Digital
Littrow-Hörsaal Astronomie Sternwarte, Türkenschanzstraße 17
Thursday 28.01. 11:30 - 13:00 Littrow-Hörsaal 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.

Assessment and permitted materials

Total grade: lectures 60% + exercises 40%

Lectures: Two mini-tests, each contributing 30% to the final 60% grade from the lectures (currently planned on 10 December 2020 and 28 January 2021).
Exercises: minimum attendance of 75%, weekly homeworks, at least one blackboard presentation (BBB if online) of solved exercises plus submitted report for a mini-project. The exact contributions of homeworks, presentations and the mini-project will be communicated once the number of participating students is known.

Minimum requirements and assessment criteria

In both parts (lectures and exercises) a minimum of 50% has to be achieved to count as passing.

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, 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: Fr 08.01.2021 14:08