040088 UE Empirical Methods I (MA) (2019S)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 11.02.2019 09:00 bis Mi 20.02.2019 12:00
- Anmeldung von Di 26.02.2019 09:00 bis Mi 27.02.2019 12:00
- Abmeldung bis Do 14.03.2019 23:59
Details
max. 30 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Dienstag
05.03.
09:45 - 11:15
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Dienstag
05.03.
11:30 - 13:00
Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
Freitag
08.03.
15:00 - 18:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Donnerstag
14.03.
16:45 - 20:00
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag
19.03.
15:00 - 18:15
Hörsaal 15 Oskar-Morgenstern-Platz 1 2.Stock
Freitag
22.03.
16:45 - 20:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag
26.03.
16:45 - 20:00
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag
29.03.
16:45 - 18:15
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Donnerstag
11.04.
11:30 - 14:45
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%]
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.For further information, please refer to: https://strategy.univie.ac.at/
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Mo 07.09.2020 15:28