040088 UE Empirical Methods I (MA) (2020W)
Prüfungsimmanente Lehrveranstaltung
Labels
Zusammenfassung
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 14.09.2020 09:00 bis Mi 23.09.2020 12:00
- Anmeldung von Mo 28.09.2020 09:00 bis Mi 30.09.2020 12:00
- Abmeldung bis Sa 31.10.2020 12:00
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. 50 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
* Due to the current situation, this course is held in a fully digital form!
Dienstag
27.10.
16:45 - 20:00
Digital
Dienstag
03.11.
16:45 - 18:15
Digital
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag
03.11.
18:30 - 20:00
Digital
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Dienstag
10.11.
16:45 - 20:00
Digital
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag
17.11.
16:45 - 20:00
Digital
Dienstag
24.11.
16:45 - 20:00
Digital
Dienstag
01.12.
16:45 - 20:00
Digital
Dienstag
15.12.
16:45 - 20:00
Digital
Montag
11.01.
16:45 - 18:15
Digital
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 4 Oskar-Morgenstern-Platz 1 Erdgeschoß
Dienstag
19.01.
16:45 - 20:00
Digital
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag
26.01.
16:45 - 20:00
Digital
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
Hörsaal 6 Oskar-Morgenstern-Platz 1 1.Stock
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.Please note that as of now, the class will be held in-person (offline). Should the current situation not allow classroom teaching, an alternative solution (taking into account the need for STATA software) will be discussed.
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 (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%]
Literatur
Necessary literature will be discussed in class.
https://strategy.univie.ac.at/
https://strategy.univie.ac.at/
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. 50 Teilnehmer*innen
Sprache: Englisch
Lernplattform: Moodle
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
In line with the latest announcement of the Fakultatsleitung Wirtschaftswissenschaften (issued on Sept 29th 2020), this course will be offered entirely in digital form (please ignore the above bookings of PC labs and assume digital lecture rooms). There will be no attendance checks or verifications, however, you will receive assignments during digital lectures, such as quizzes or mini essays (that will be assessed and be part of your overall grading). All examinations will be in a digital format (i.e. no on-site examination).
In order to offer equal conditions to all students and to conform with Federal regulations, there will be no on-site teaching.
Mittwoch
28.10.
16:45 - 20:00
Digital
Donnerstag
05.11.
15:00 - 18:15
Digital
Donnerstag
12.11.
15:00 - 18:15
Digital
Donnerstag
19.11.
15:00 - 18:15
Digital
Donnerstag
26.11.
15:00 - 18:15
Digital
Donnerstag
03.12.
15:00 - 18:15
Digital
Donnerstag
10.12.
15:00 - 18:15
Digital
Montag
11.01.
16:45 - 18:15
Digital
Donnerstag
21.01.
15:00 - 18:15
Digital
Donnerstag
28.01.
15:00 - 18:15
Digital
Ziele, Inhalte und Methode der Lehrveranstaltung
This course is an introductory class on empirical methods and data analysis. It precedes the follow-up class “Empirical Methods II”.
Students learn the fundamental knowledge and obtain the basic skills required in empirical research. Theoretical sessions cover tools and stages required for running empirical projects (e.g. research design, measurement, methods of data collection, basic descriptive statistics) with a special focus on the pre-evaluation stage of empirical work. Our applied sessions will introduce the students to basic programming skills, allowing them to prepare their data for further analysis using statistical programming software. Students participate actively through home assignments, quizzes and presenting scientific articles from the strategy literature. The obtained theoretical knowledge is applied during a project where students actively develop the necessary (first) steps for conducting their own empirical research projects.
This course uses the statistical software STATA. You can use STATA in the PC labs.
Students learn the fundamental knowledge and obtain the basic skills required in empirical research. Theoretical sessions cover tools and stages required for running empirical projects (e.g. research design, measurement, methods of data collection, basic descriptive statistics) with a special focus on the pre-evaluation stage of empirical work. Our applied sessions will introduce the students to basic programming skills, allowing them to prepare their data for further analysis using statistical programming software. Students participate actively through home assignments, quizzes and presenting scientific articles from the strategy literature. The obtained theoretical knowledge is applied during a project where students actively develop the necessary (first) steps for conducting their own empirical research projects.
This course uses the statistical software STATA. You can use STATA in the PC labs.
Art der Leistungskontrolle und erlaubte Hilfsmittel
Students will be assessed based on their 1) class participation (class work, quizzes, home assignments and a presentation of an empirical paper -> individual, 35% of grade), 2) a written exam (-> individual, 35% of grade) and 3) an empirical project (own paper and a presentation of their own findings -> teamwork in groups, 30% of grade).
Mindestanforderungen und Beurteilungsmaßstab
Attendance during the first session of this course is mandatory. If students miss the first session without contacting the lecturer via email (at the very latest until 24 hours before the first session), giving a relevant reason/proof (which are: 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 assigned to the next in line on the waiting list. Students can miss a maximum of two sessions before the Christmas break (however, need to compensate for that through home assignments). Students cannot miss any of the January sessions (since these are used for presentation and the exam).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.
Literatur
Lecture slides, complemented by selected articles, online tutorials and videos. The necessary literature will be discussed in class.
Information
Prüfungsstoff
Students are required to know and have understood all topics discussed in class and presented on the lecture slides.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Fr 12.05.2023 00:12