040217 KU Data Analysis on Organization and Personnel (MA) (2024S)
Prüfungsimmanente Lehrveranstaltung
Labels
service email address: opim.bda@univie.ac.at
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 12.02.2024 09:00 bis Mi 21.02.2024 12:00
- Anmeldung von Mo 26.02.2024 09:00 bis Di 27.02.2024 12:00
- Abmeldung bis Do 14.03.2024 23:59
Details
max. 25 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Freitag
01.03.
15:00 - 16:30
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag
01.03.
16:45 - 18:15
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
25.04.
16:45 - 18:15
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag
26.04.
15:00 - 16:30
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag
26.04.
16:45 - 18:15
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
N
Freitag
24.05.
15:00 - 16:30
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag
24.05.
16:45 - 18:15
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag
31.05.
15:00 - 16:30
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag
31.05.
16:45 - 18:15
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
20.06.
16:45 - 18:15
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag
21.06.
15:00 - 16:30
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag
21.06.
16:45 - 18:15
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Donnerstag
27.06.
16:45 - 18:15
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag
28.06.
15:00 - 16:30
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Freitag
28.06.
16:45 - 18:15
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
Your final grade is determined by your performance on the quizzes, assignments, final report and class participation.
Make-up exams will not be given unless the student has a medical or other serious reason.
Students should hand in homework assignments before class on the day they are due. Assignments will be distributed in class or on line.
Exam review is possible during regular semester time by appointment.
1 (very good) → 100-89 points
2 (good) → 88-76 points
3 (satisfactory) → 75-63 points
4 (enough) → 62-50 points
5 (not enough) → 49-0 points
Make-up exams will not be given unless the student has a medical or other serious reason.
Students should hand in homework assignments before class on the day they are due. Assignments will be distributed in class or on line.
Exam review is possible during regular semester time by appointment.
1 (very good) → 100-89 points
2 (good) → 88-76 points
3 (satisfactory) → 75-63 points
4 (enough) → 62-50 points
5 (not enough) → 49-0 points
Mindestanforderungen und Beurteilungsmaßstab
Basic knowledge of Business Mathematics and Statistics is required.
Passing grades can generally not be earned by students who miss more than 20% of the total class time.
Passing grades can generally not be earned by students who miss more than 20% of the total class time.
Prüfungsstoff
Assignments, presentations, in class discussion and participation.
Literatur
Wooldridge "Introductory Econometrics"
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Fr 01.03.2024 14:45
• From the problem to the question: How do I develop a research question and derive hypotheses from it?
• Method selection and collection: Which data collection methods are available to me and which is best suited to answer my research question?
• Hypothesis testing: Which statistical methods are available to me? Which ones are best suited to test my hypotheses?
• Interpretation: What do my results mean? Which statements and conclusions are permissible and which are not?