Students are allowed to miss no more than 2 sessions. The module will be taught face-to-face on campus.
LV-Leiter/in | Dr. Arne Floh |
Planpunkte Master | Internationale Marktforschung und quantitative Methoden |
Semesterstunden | 2 |
Unterrichtssprache | Englisch |
Termine | ||||
Fr, | 08.03.2024 | 09:00-13:00 Uhr | TC.3.02 (Lageplan) | |
Fr, | 22.03.2024 | 09:00-13:00 Uhr | LC.-1.038 (Lageplan) | |
Fr, | 19.04.2024 | 09:00-13:00 Uhr | LC.2.064 PC Raum (Lageplan) | |
Fr, | 10.05.2024 | 09:00-13:00 Uhr | LC.-1.038 (Lageplan) | |
Fr, | 24.05.2024 | 09:00-13:00 Uhr | LC.-1.038 (Lageplan) | |
Fr, | 14.06.2024 | 09:00-13:00 Uhr | TC.3.02 (Lageplan) | |
Termindownload (ical) | Termine abonnieren |
Weitere Informationen | https://learn.wu.ac.at/vvz/24s/5047 |
Kontakt: | ||
arne.floh@wu.ac.at | ||
Inhalte der LV: | ||
This module aims to provide students with a both theoretical and practical understanding of (international) marketing research is designed, conducted, and assessed. The module is organized around the stages of an international, quantitative marketing research project (e.g. problem definition, design, data collection, data analysis, and documentation). The course will be of particular value to students writing an empirical MSc dissertation and/or planning careers in international marketing research and marketing consulting. The aims of this module are to
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Lernergebnisse (Learning Outcomes): | ||
On successful completion of this module, the students will have demonstrated the ability to:
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Regelung zur Anwesenheit: | ||
Lehr-/Lerndesign: | ||
The teaching and learning strategy is designed to provide a range of delivery methods in a blended way to facilitate the development of skills in the key learning areas set out above. T&L methods include lectures, tutorials, lab sessions, workshops, project writing and self-directed learning |
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Leistung(en) für eine Beurteilung: | ||
The assessment strategy is designed to enable students to meet the learning outcomes as follows: Online Quiz 25 % Questionnaire 15 % Data Collection 10 % Data Analysis + Report: 40 % Peer Review 10 % |
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Teilnahmevoraussetzung(en): | ||
Anmeldung zur Lehrveranstaltung |
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