Universität Wien FIND

Return to Vienna for the summer semester of 2022. We are planning to hold courses mainly on site to enable the personal exchange between you, your teachers and fellow students. We have labelled digital and mixed courses in u:find accordingly.

Due to COVID-19, there might be changes at short notice (e.g. individual classes in a digital format). Obtain information about the current status on u:find and check your e-mails regularly.

Please read the information on https://studieren.univie.ac.at/en/info.

040550 UE Linear Models (2020W)

2.00 ECTS (1.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

Summary

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

Anwesenheitspflicht in der ersten Einheit!

max. 30 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Monday 05.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 12.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 19.10. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 09.11. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 16.11. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 23.11. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 23.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 30.11. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 07.12. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 14.12. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 11.01. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 18.01. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 25.01. 08:00 - 09:30 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 25.01. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

Group 2

Anwesenheitspflicht in der ersten Einheit!

max. 30 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Monday 05.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday 12.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday 19.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday 09.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday 16.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday 23.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday 23.11. 15:00 - 16:30 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 30.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday 07.12. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday 14.12. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday 11.01. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday 18.01. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday 25.01. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

Information

Aims, contents and method of the course

The aim of the course is that students practically apply the material learned in the lecture and gain confidence in solving corresponding problems.

Assessment and permitted materials

Students can earn up to 100 points. These points can be earned in four distinct aspects of the course.

There are two tests where a total of 70 points can be earned.

A mid term test will take place digitally on Monday, the 25. November, 15.00 - 16.00. Here, up to 30 points can be earned.

An end term test will take place (probably) digitally on Monday, the 27. January, 18.30 - 19.30. Here, up to 40 points can be earned.

Students can earn up to 30 points for participation in the course.

Weekly, students work on posed problems and indicate the problems they have solved on Moodle. If a problem is marked as having been solved, the student thus agrees to present the solution in a weekly online session. If this presentation shows that a problem was indicated as being solved without an adequate solution, the mark for the problem under consideration as well as five other marks are deleted.

Attendance is mandatory: If a student is not present in a session for which problems were indicated as being solved, all the marks for the relevant session will be deleted.

The marks provide 10*(percentage of solved problems) points

For the presentation of the solved problems, up to 20 points can be earned.

The total points are the sum of the points earned in the four aspects of the course.

Minimum requirements and assessment criteria

To get a passing grade, at least 50% of problems have to be solved and at least 50 points have to be obtained.

Examination topics

Content of the lecture.

Reading list

Lecture notes.

Association in the course directory

Last modified: Su 22.11.2020 13:47