Universität Wien FIND

Bedingt durch die COVID-19-Pandemie können kurzfristige Änderungen bei Lehrveranstaltungen und Prüfungen (z.B. Absage von Vor-Ort-Lehre und Umstellung auf Online-Prüfungen) erforderlich sein. Melden Sie sich für Lehrveranstaltungen/Prüfungen über u:space an, informieren Sie sich über den aktuellen Stand auf u:find und auf der Lernplattform moodle.

Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter https://studieren.univie.ac.at/info.

Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

040088 UE Empirical Methods I (MA) (2019W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

Pre-requisites:

Admission to the Master's programme

Attendance:

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.

An/Abmeldung

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Montag 28.10. 08:00 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Montag 04.11. 13:15 - 16:30 Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
Montag 11.11. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 18.11. 09:45 - 13:00 Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Stock
Montag 25.11. 08:00 - 11:15 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Montag 02.12. 08:00 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 09.12. 09:45 - 13:00 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 16.12. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Montag 13.01. 09:45 - 13:00 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

This course is an introductory class on empirical methods and data analysis which precedes the follow-up class “Empirical Methods II”. The goal of this introductory course is for students to learn the fundamental techniques and obtain the basic skills required in empirical research. Our theoretical sessions will cover tools and stages required for running empirical projects (e.g. research design, measurement, methods of data collection) with a special focus on the pre-evaluation stage of an empirical work. Our applied sessions will introduce the students to basic programming skills, allowing them to prepare their data for analysis using statistical programming software. Students will participate by reading and presenting scientific articles in some of the highest ranked strategy journals. Knowledge gained in this course is also applied during a project where students actively develop the necessary steps for conducting their own empirical research projects.

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 40%, the exam for 30% 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 (2.25 hours). 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%]

Prüfungsstoff

Students are required to know and have understood all topics discussed in class and presented on the lecture slides.

Literatur

Necessary literature will be discussed in class.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:19