Universität Wien FIND

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250024 UE Tutorials for "Numeric mathematics 1" (2020W)

3.00 ECTS (2.00 SWS), SPL 25 - Mathematik
Continuous assessment of course work

Summary

1 Mascotto , Moodle
2 Mascotto , Moodle
3 Dörfler , Moodle
4 Huyer , 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 information is available for each group.

Groups

Group 1

max. 25 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Friday 02.10. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 09.10. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 16.10. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 23.10. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 30.10. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 06.11. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 13.11. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 20.11. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 27.11. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 04.12. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 11.12. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 18.12. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 08.01. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 15.01. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 22.01. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Friday 29.01. 08:00 - 09:30 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock

Aims, contents and method of the course

Theoretical and programming (in MATLAB/Octave) problems pertaining to the lecture should be solved by the students outside class time and will be dealt with in class afterwards.
The aim is obtaining skills in MATLAB programming and a better insight into the methods and algorithms of numerical analysis.

Assessment and permitted materials

You will get homework every week and have to mark the solved exercises on Moodle. Contributions during the class, particularly the presentation of the solutions to the exercises (on the blackboard or on the computer, depending on the circumstances possibly as a video conference; either voluntary or called out according to the list on Moodle). Depending on the circumstances (size of group, change to home learning) in addition written tests or handing in the solutions to the exercises (written or programmes).

Minimum requirements and assessment criteria

During the semester 60% of the exercises have to be marked. An exercise can be marked if at least half of it has been solved. Two or three individual performances (e.g., presentation, test, correction of a written solution to an exercise) will be necessary for the assessment, two of them should be oral (presentation in the lecture hall or in a video conference). The assessment of these performances and the percentage of marked exercises will result in the course assessment.

Examination topics

Manuscript with exercises

Reading list

See lecture

Group 2

max. 25 participants
Language: English
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Thursday 01.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 08.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 15.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 22.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 29.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 05.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 12.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 19.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 26.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 03.12. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 10.12. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 17.12. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 07.01. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 14.01. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 21.01. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 28.01. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock

Aims, contents and method of the course

Theoretical and programming (in MATLAB/Octave) problems pertaining to the lecture should be solved by the students outside class time and will be dealt with in class afterwards.
The aim is obtaining skills in MATLAB programming and a better insight into the methods and algorithms of numerical analysis.

Assessment and permitted materials

You will get homework every week and have to mark the solved exercises on Moodle. Contributions during the class, particularly the presentation of the solutions to the exercises (on the blackboard or on the computer, depending on the circumstances possibly as a video conference; either voluntary or called out according to the list on Moodle). Depending on the circumstances (size of group, change to home learning) in addition written tests or handing in the solutions to the exercises (written or programmes).

Minimum requirements and assessment criteria

During the semester 60% of the exercises have to be marked. An exercise can be marked if at least half of it has been solved. Two or three individual performances (e.g., presentation, test, correction of a written solution to an exercise) will be necessary for the assessment, two of them should be oral (presentation in the lecture hall or in a video conference). The assessment of these performances and the percentage of marked exercises will result in the course assessment.

Examination topics

Manuscript with exercises

Reading list

See lecture

Group 3

max. 25 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Am 1.10. wird voraussichtlich eine Vorbesprechung, evtl. Online stattfinden. Detail folgen Mitte September.

Thursday 01.10. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 08.10. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 15.10. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 22.10. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 29.10. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 05.11. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 12.11. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 19.11. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 26.11. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 03.12. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 10.12. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 17.12. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 07.01. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 14.01. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 21.01. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Thursday 28.01. 09:45 - 11:15 Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock

Aims, contents and method of the course

Es werden theoretische und Programmieraufgaben (in MATLAB/Octave) zum Stoff der Vorlesung gestellt, die von den Studierenden außerhalb der Übungen gelöst werden sollen und dann in den Übungen besprochen werden.
Das Ziel sind der Erwerb von MATLAB-Programmierkenntnissen und einem besseren Verständnis von Algorithmen und Methoden der numerischen Mathematik

Assessment and permitted materials

Jede Woche werden für die darauffolgende Woche Aufgaben gestellt, die gelösten Aufgaben sind auf einer Kreuzerlliste auf Moodle anzukreuzeln. Mitarbeit während der Übungseinheiten, insbesondere Präsentation der vorbereiteten Lösungen der Übungsaufgaben (an der Tafel bzw. Programmieraufgaben am PC, je nach Umständen auch als Videokonferenz; freiwillig oder anhand der Kreuzerlliste). Abhängig von den Umständen (Gruppengröße, Wechsel zu Homelearning) auch schriftliche Zwischentests oder Abgabe von gelösten Aufgaben (schriftlich bzw. Programme).

Minimum requirements and assessment criteria

Übers Semester verteilt müssen auf den Kreuzerllisten mindestens 60% markiert werden, wobei eine Markierung gesetzt werden kann, wenn ein Beispiel mindestens zur Hälfte gelöst wurde. Zur Benotung sind mindestens 3 oder 4 Einzelleistungen (z.B. Präsentation, Test, Korrektur einer abgegebenen Aufgabe) nötig, mindestens 2 davon sollten mündlich (Präsentation im Hörsaal oder in einer Videokonferenz) sein. Zur Benotung werden die Bewertungen dieser Leistungen und der Kreuzerlprozentsatz herangezogen.

Examination topics

Skriptum mit Übungsaufgaben

Reading list

Siehe Vorlesung

Group 4

max. 25 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Beim ersten Termin am 7.10. werde ich eine Einführung in MATLAB geben. Für den zweiten Termin sind dann MATLAB-Programmierbeispiele vorzubereiten.

Wednesday 07.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 14.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 21.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 28.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 04.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 11.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 18.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 25.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 02.12. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 09.12. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 16.12. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 13.01. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 20.01. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 27.01. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock

Aims, contents and method of the course

Theoretical and programming (in MATLAB/Octave) problems pertaining to the lecture should be solved by the students outside classtime and will be dealt with in class afterwards.
The aim is obtaining skills in MATLAB programming and a better insight into the methods and algorithms of numerical analysis.

Assessment and permitted materials

You will get homework every week and have mark the solved exercises on Moodle. Contributions during the class, particularly the presentation of the solutions to the exercises (on the blackboard or on the computer, dependent on the circumstances possibly as a video conference; either voluntary or called out according to the list on Moodle). Dependent on the circumstances (size of group, change to homelearning in addition written tests or handing in the solutions to the exercises (written or programmes).

Minimum requirements and assessment criteria

During the semester 60% of the exercises have to be marked. An exercise can be marked if at least half of it has been solved. Two or three individual performances (e.g., presentation, test, correction of a written solution to an exercise) will be necessary for the assessment, two of them should be oral (presentation in the lecture hall or in a video conference). The assessment of these performances and the percentage of marked exercises will result in the course assessment.

Examination topics

Manuscript with exercises

Reading list

See lecture

Association in the course directory

NUM

Last modified: Mo 28.09.2020 14:30