040115 UE UE Introductory Econometrics (MA) (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
- Registration is open from Tu 26.09.2023 09:00 to We 27.09.2023 12:00
- Deregistration possible until Fr 20.10.2023 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
Friday
06.10.
12:15 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday
13.10.
12:15 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday
20.10.
12:15 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday
27.10.
12:15 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday
03.11.
12:15 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday
10.11.
12:15 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday
17.11.
12:15 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday
24.11.
12:15 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday
01.12.
12:15 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday
15.12.
12:15 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday
12.01.
12:15 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday
19.01.
12:15 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Friday
26.01.
12:15 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Aims, contents and method of the course
Application and practice of the contents of the parallel lecture (040111 KU Introductory Econometrics by Professor Zulehner) through recap sessions, quizzes and applied projects.The first lectures (on October 3 and 6) will serve as introduction to the course and explanation of course requirements. From the second week onward, there will be weekly sessions providing summaries and intuition of the concepts taught in the main lecture. This will include working through applied exercises, but also revising theory. A few sessions will be dedicated to the introduction of the open source programming language R.The course will be held in class only. There is no online option!
Assessment and permitted materials
The assessment of this course consists of two 30 min quizzes covering material from the recap sessions. Additionally, there will be two empirical take home exams in the form of applied projects. This will provide students with hands-on experience in working with R as well as the concepts learned in the main lecture. The third part of the assessment will be drawn from attendance and active participation in the recap sessions.
Minimum requirements and assessment criteria
To successfully complete the course, students must receive at least 50% of the available points. Points are divided as follows: max 45 points for the quizzes (max 22.5 points each), max 45 points for the applied projects (max 22.5 points each) and max 10 points for attendance.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 ≤ P < 62.5,
Nicht Genügend (5) P < 50.
Sehr Gut (1) P ≥ 87.5,
Gut (2) 75 ≤ P < 87.5,
Befriedigend (3) 62.5 ≤ P < 75,
Genügend (4) 50 ≤ P < 62.5,
Nicht Genügend (5) P < 50.
Examination topics
The slides as well as exercises will be uploaded on Moodle. The content of these are heavily based on the material of the parallel lecture (040111 KU Introductory Econometrics by Professor Zulehner).
Group 2
max. 50 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Friday
06.10.
15:00 - 15:45
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Friday
13.10.
15:00 - 15:45
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Friday
20.10.
15:00 - 15:45
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Friday
27.10.
15:00 - 15:45
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Friday
03.11.
15:00 - 15:45
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Friday
10.11.
15:00 - 15:45
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Friday
17.11.
15:00 - 15:45
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Friday
24.11.
15:00 - 15:45
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Friday
01.12.
15:00 - 15:45
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Friday
15.12.
15:00 - 15:45
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Friday
12.01.
15:00 - 15:45
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Friday
19.01.
15:00 - 15:45
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Friday
26.01.
15:00 - 15:45
Hörsaal 10 Oskar-Morgenstern-Platz 1 2.Stock
Aims, contents and method of the course
Application and practice of the contents of the parallel lecture (040111 KU Introductory Econometrics by Professor Zulehner) through recap sessions, quizzes and applied projects.The first lectures (on October 3 and 6) will serve as introduction to the course and explanation of course requirements. From the second week onward, there will be weekly sessions providing summaries and intuition of the concepts taught in the main lecture. This will include working through applied exercises, but also revising theory. A few sessions will be dedicated to the introduction of the open source programming language R.The course will be held in class only. There is no online option!
Assessment and permitted materials
The assessment of this course consists of two 30 min quizzes covering material from the recap sessions. Additionally, there will be two empirical take home exams in the form of applied projects. This will provide students with hands-on experience in working with R as well as the concepts learned in the main lecture. The third part of the assessment will be drawn from attendance and active participation in the recap sessions.
Minimum requirements and assessment criteria
To successfully complete the course, students must receive at least 50% of the available points. Points are divided as follows: max 45 points for the quizzes (max 22.5 points each), max 45 points for the applied projects (max 22.5 points each) and max 10 points for attendance.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 ≤ P < 62.5,
Nicht Genügend (5) P < 50.
Sehr Gut (1) P ≥ 87.5,
Gut (2) 75 ≤ P < 87.5,
Befriedigend (3) 62.5 ≤ P < 75,
Genügend (4) 50 ≤ P < 62.5,
Nicht Genügend (5) P < 50.
Examination topics
The slides as well as exercises will be uploaded on Moodle. The content of these are heavily based on the material of the parallel lecture (040111 KU Introductory Econometrics by Professor Zulehner).
Group 3
max. 50 participants
Language: English
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
Tuesday
03.10.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
10.10.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
17.10.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
24.10.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
31.10.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
07.11.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
14.11.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
21.11.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
28.11.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
05.12.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
12.12.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
09.01.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
16.01.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
23.01.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday
30.01.
08:45 - 09:30
Hörsaal 11 Oskar-Morgenstern-Platz 1 2.Stock
Aims, contents and method of the course
Application and practice of the contents of the parallel lecture (040111 KU Introductory Econometrics by Professor Zulehner) through recap sessions, quizzes and applied projects. The first lectures (on October 3 and 6) will serve as introduction to the course and explanation of course requirements. From the second week onward, there will be weekly sessions providing summaries and intuition of the concepts taught in the main lecture. This will include working through applied exercises, but also revising theory. A few sessions will be dedicated to the introduction of the open-source programming language R. The course will be held in class only. There is no online option!
Assessment and permitted materials
The assessment of this course consists of two 30 min quizzes covering material from the recap sessions. Additionally, there will be two empirical take home exams in the form of applied projects. This will provide students with hands-on experience in working with R as well as the concepts learned in the main lecture. The third part of the assessment will be drawn from attendance and active participation in the recap sessions.
Minimum requirements and assessment criteria
To successfully complete the course, students must receive at least 50% of the available points. Points are divided as follows: max 45
points for the quizzes (max 22.5 points each), max 45 points for the applied projects (max 22.5 points each) and max 10 points for
attendance.
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 ≤ P < 62.5,
Nicht Genügend (5) P <; 50.
points for the quizzes (max 22.5 points each), max 45 points for the applied projects (max 22.5 points each) and max 10 points for
attendance.
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 ≤ P < 62.5,
Nicht Genügend (5) P <; 50.
Examination topics
The slides as well as exercises will be uploaded on Moodle. The content of these are heavily based on the material of the parallel lecture (040111 KU Introductory Econometrics by Professor Zulehner).
Information
Reading list
-
Association in the course directory
Last modified: Tu 23.01.2024 08:45