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280326 VU VU Numerical methods (PI) (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 Th 10.09.2020 10:00 to Mo 28.09.2020 23:59
- Registration is open from Th 01.10.2020 10:00 to Tu 13.10.2020 23:59
- Deregistration possible until Tu 13.10.2020 23:59
Details
max. 150 participants
Language: German
Lecturers
- Petrus Martinus van de Ven
- Francisco Ignacio Aros Pinochet
- Leopold Haimberger
- Ryan Leaman
- Tadeja Versic
- Alice Zocchi
- Leah Skusa (Student Tutor)
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
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.
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.
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
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: Th 31.10.2024 00:16
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.