040115 UE UE Introductory Econometrics (MA) (2022W)
Continuous assessment of course work
Labels
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 is open from Mo 12.09.2022 09:00 to Fr 23.09.2022 12:00
- Registration is open from We 28.09.2022 09:00 to Th 29.09.2022 12:00
- Deregistration possible until Fr 14.10.2022 23:59
Registration information is available for each group.
Groups
Group 1
max. 50 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Monday 03.10. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 10.10. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 17.10. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 24.10. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 31.10. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 07.11. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 14.11. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 21.11. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 28.11. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 05.12. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 12.12. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 09.01. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 16.01. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 23.01. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Monday 30.01. 08:45 - 09:30 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Assessment and permitted materials
The first lectures (on October 3) will serve as introduction to the course and explanation of course requirements.From the second week onward there will be weekly problem sets uploaded on Moodle. They will consist of small questions, analytical derivations and/or data tasks in R. Students have to mark the problems they have been working on and might be asked to present their solutions. If a student is asked to present their solution to an exercise and it is evident that insufficient effort has been put into the solution, the student will receive 0 points for the entire corresponding problem set.
Group 2
max. 50 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Tuesday 04.10. 11:30 - 12:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 11.10. 11:30 - 12:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 18.10. 11:30 - 12:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 25.10. 11:30 - 12:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 08.11. 11:30 - 12:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 15.11. 11:30 - 12:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 22.11. 11:30 - 12:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 29.11. 11:30 - 12:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 06.12. 11:30 - 12:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 13.12. 11:30 - 12:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 10.01. 11:30 - 12:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 17.01. 11:30 - 12:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 24.01. 11:30 - 12:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
- Tuesday 31.01. 11:30 - 12:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Assessment and permitted materials
The first lectures (on October 5 or 6) will serve as introduction to the course and explanation of course requirements.
From the second week onward there will be weekly problem sets uploaded on Moodle. They will consist of small questions, analytical derivations and/or data tasks in R. Students have to mark the problems they have been working on and might be asked to present their solutions. If a student is asked to present their solution to an exercise and it is evident that insufficient effort has been put into the solution, the student will receive 0 points for the entire corresponding problem set.
From the second week onward there will be weekly problem sets uploaded on Moodle. They will consist of small questions, analytical derivations and/or data tasks in R. Students have to mark the problems they have been working on and might be asked to present their solutions. If a student is asked to present their solution to an exercise and it is evident that insufficient effort has been put into the solution, the student will receive 0 points for the entire corresponding problem set.
Group 3
max. 50 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 06.10. 08:45 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 13.10. 08:45 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 20.10. 08:45 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 27.10. 08:45 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 03.11. 08:45 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 10.11. 08:45 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 17.11. 08:45 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 24.11. 08:45 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 01.12. 08:45 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 15.12. 08:45 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 12.01. 08:45 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 19.01. 08:45 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
- Thursday 26.01. 08:45 - 09:30 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Assessment and permitted materials
The first lecture (on October 6) will serve as introduction to the course and explanation of course requirements.From the second week onward there will be weekly problem sets uploaded on Moodle. They will consist of small questions, analytical derivations and/or data tasks in R. Students have to mark the problems they have been working on and might be asked to present their solutions. If a student is asked to present their solution to an exercise and it is evident that insufficient effort has been put into the solution, the student will receive 0 points for the entire corresponding problem set.
Information
Aims, contents and method of the course
Application and practice of the contents of the parallel lecture (040111 KU Introductory Econometrics) through independent preparation of solutions for weekly problem sets. Presentation and discussion of the proposed solutions.The course will be held on-site (if the Covid situation permits).
Minimum requirements and assessment criteria
The course assessment is solely based on the exercises marked on Moodle, whereby (as outlined above) marked exercises may not count towards the final grade if a student’s presentation indicates that little effort was put into solving the corresponding week’s problem set.A maximum of 100 points can be obtained during the course. The final grade is calculated as follows depending on obtained points P:Sehr Gut (1) P ≥ 87.5,
Gut (2) 75 ≤ P < 87.5,
Befriedigend (3) 62.5 ≤ P < 75,
Genügend (4) 50 ≤ Z < 62.5,
Nicht Genügend (5) P < 50.
Gut (2) 75 ≤ P < 87.5,
Befriedigend (3) 62.5 ≤ P < 75,
Genügend (4) 50 ≤ Z < 62.5,
Nicht Genügend (5) P < 50.
Examination topics
The problem sets uploaded on Moodle which are based on the contents of the parallel lecture (040111 KU Introductory Econometrics).
Reading list
Association in the course directory
Last modified: We 21.09.2022 14:26