Universität Wien

040550 UE Linear Models (2023W)

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

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 02.10. 13:15 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 09.10. 13:15 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 23.10. 13:15 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 06.11. 13:15 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 20.11. 11:30 - 13:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 27.11. 13:15 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 11.12. 13:15 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 08.01. 13:15 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 22.01. 13:15 - 14:45 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Monday 29.01. 11:30 - 13:00 Hörsaal 4 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 02.10. 11:30 - 13:00 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Monday 09.10. 11:30 - 13:00 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Monday 23.10. 11:30 - 13:00 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Monday 06.11. 11:30 - 13:00 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Monday 20.11. 11:30 - 13:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Monday 27.11. 11:30 - 13:00 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Monday 11.12. 11:30 - 13:00 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Monday 08.01. 11:30 - 13:00 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Monday 22.01. 11:30 - 13:00 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Monday 29.01. 11:30 - 13:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß

Group 3

Anwesenheitspflicht in der ersten Einheit!

max. 30 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Tuesday 03.10. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 10.10. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 24.10. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 07.11. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday 20.11. 11:30 - 13:00 Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 28.11. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 12.12. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 09.01. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Tuesday 23.01. 11:30 - 13:00 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Monday 29.01. 11:30 - 13:00 Hörsaal 4 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. The course is planned to take place in the lecture room if possible.

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 80 points can be earned.

A mid term test will take place on Monday, 20. November, 11:30 - 13:00 in the lecture hall 4. Here, up to 40 points can be earned.

An end term test will take place on Monday, the 29. January, 11:30 - 13:00 in the lecture hall 1. Here, up to 40 points can be earned.

Students can earn up to 20 points for participation in the course.

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 on the blackboard. Students are being chosen to present solutions to problems during the exercise sessions. If the 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.

No examples may be marked as solved if the student is absent, otherwise all the examples of the exercise will be removed.

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

For the presentation of the solved problems, up to 10 points can be earned.

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

The usage of AI-Tool (e.g. ChatGPT) for the exercises is prohibited unless its usage is explicitly demanded in the exercise (e.g. for specific parts of the exercise). No other tools than non-programmable calculators are allowed for the both exams.

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.
Students are not allowed to be absent more than twice without a reason.

If all prerequisites are met, the grade will be calculated as follows (where X denotes the total number of points achieved):
50 <= X < 63 grade 4
63 <= X < 76 grade 3
76 <= X < 88 grade 2
88 <= X grade 1

Examination topics

Content of the lecture.

Reading list

Mitschrift aus der Vorlesung.

Association in the course directory

Last modified: We 18.10.2023 17:07