040088 UE Empirical Methods I (MA) (2022W)
Prüfungsimmanente Lehrveranstaltung
Labels
VOR-ORT
Zusammenfassung
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 12.09.2022 09:00 bis Fr 23.09.2022 12:00
- Anmeldung von Mi 28.09.2022 09:00 bis Do 29.09.2022 12:00
- Abmeldung bis Fr 14.10.2022 23:59
An/Abmeldeinformationen sind bei der jeweiligen Gruppe verfügbar.
Gruppen
Gruppe 1
Pre-requisites:Admission to the Master's programmeAttendance:As part of the course grade, your class participation will be assessed every session. You will automatically fail the class if you miss more than 10% of sessions.
max. 30 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Montag 07.11. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 07.11. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 14.11. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 14.11. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Dienstag 22.11. 15:00 - 18:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Montag 28.11. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Montag 05.12. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Montag 12.12. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Montag 09.01. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 09.01. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 16.01. 09:45 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 16.01. 11:30 - 13:00 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
- Dienstag 24.01. 11:30 - 13:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Montag 30.01. 09:45 - 13:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
Gruppe 2
Pre-requisites:Admission to the Master's programmeAttendance:As part of the course grade, your class participation will be assessed every session. You will automatically fail the class if you miss more than 10% of sessions.
max. 30 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Dienstag 08.11. 15:00 - 18:15 Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
- Dienstag 15.11. 15:00 - 18:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
- Dienstag 22.11. 08:00 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Dienstag 29.11. 08:00 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Dienstag 06.12. 08:00 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Dienstag 13.12. 08:00 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
- Dienstag 10.01. 09:45 - 13:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Dienstag 17.01. 09:45 - 13:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Dienstag 24.01. 11:30 - 13:00 Hörsaal 14 Oskar-Morgenstern-Platz 1 2.Stock
- Dienstag 31.01. 08:00 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Students will be assessed based on their class participation (class work, home assignments and a presentation of an empirical paper), a written exam and an empirical project (own paper and a presentation of own findings). The final project (including presentation) accounts for 35%, the exam for 35% and class participation accounts for 30% of the final grade.
Mindestanforderungen und Beurteilungsmaßstab
Please be aware that attendance during the first session of this course is absolutely mandatory. If students miss the first session without contacting the lecturer in writing (at the very latest until 24 hours before the first session), giving a relevant reason/proof (e.g. illness=doctor's certificate, exam=confirmation by the examiner) for their absence, they will be deregistered from the course and their place will automatically be awarded to the next in line on the waiting list. After that, students are allowed to miss 10% of the classes without any consequences. Exceeding this threshold would result in failing the class. In order to pass the course, at least 50% of the total 100% are required. Please note that TURNITIN will be used in order to test all written coursework (e.g. the final project) for possible plagiarism.
Grading scheme: [0%;50%) [50%;62.5%) [62.5%;75%) [75%;87.5%) [87.5%;100%]
Grading scheme: [0%;50%) [50%;62.5%) [62.5%;75%) [75%;87.5%) [87.5%;100%]
Prüfungsstoff
Students are required to know and have understood all topics discussed in class and presented on the lecture slides. The written exam places focus not only on students' theoretical knowledge, but on applying theory to real-world examples.
Literatur
Necessary literature will be discussed in class and made available on Moodle.For further information, please refer to: https://strategy.univie.ac.at/
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mi 22.03.2023 09:48
This course is highly interactive and built around the idea of a laboratory setup as is typical for social sciences. The setup necessitates certain software and IT equipment. To provide every student the same opportunity to successfully participate in the course, it is held in one of the PC-labs at the OMP 1. Given the always-changing Covid-19 situation, but also our goal to maintain a high quality and interactive class, the class should be held in-person with two selected (non-theory) sessions held via Zoom. The exact format of individual sessions will be announced during Session 1! For both online meetings, students are required to ensure stable Internet connection and be able to join using their web cameras as well! Hence, not only an audio connection, also a video connection is required! The majority of all sessions, as well as the exam will be held in person.