Universität Wien

040115 UE UE Introductory Econometrics (MA) (2023W)

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

Summary

1 Smutny , Moodle
2 Smutny , Moodle
3 Chen , Moodle

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

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.

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.

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.

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

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Association in the course directory

Last modified: Tu 23.01.2024 08:45