040550 UE Linear Models (2023W)
Continuous assessment of course work
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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 is open from Mo 11.09.2023 09:00 to Fr 22.09.2023 12:00
- Deregistration possible until Fr 20.10.2023 23:59
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) pointsFor 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
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