Universität Wien

040180 UE Applications of eBusiness and eLogistics (MA) (2021W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
MIXED

Summary

1 Strauß , Moodle
2 Grossmann , Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).
Registration information is available for each group.

Groups

Group 1

https://ebusiness.univie.ac.at/teaching/

max. 25 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

  • Thursday 07.10. 08:00 - 09:30 Digital
  • Thursday 14.10. 08:00 - 09:30 Digital
  • Thursday 21.10. 08:00 - 09:30 Digital
  • Thursday 28.10. 08:00 - 09:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 04.11. 08:00 - 09:30 Digital
  • Thursday 11.11. 08:00 - 09:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 18.11. 08:00 - 09:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Thursday 25.11. 08:00 - 09:30 Digital
  • Thursday 02.12. 08:00 - 09:30 Digital
  • Thursday 09.12. 08:00 - 09:30 Digital
  • Thursday 16.12. 08:00 - 09:30 Digital
  • Thursday 13.01. 08:00 - 09:30 Digital
  • Thursday 20.01. 08:00 - 09:30 Digital
  • Thursday 27.01. 08:00 - 09:30 Digital

Aims, contents and method of the course

In der Lehrveranstaltung "Applications of eBusiness and eLogistics" werten Studententeams das Verhaltens von Besuchern auf Websites von Business Cases mit Tools aus und/oder erarbeiten Online-Marketingkampagnen. Sie erlernen theoretische Grundlagen zu Search Engine Marketing (SEM) und zur Bewertung der Qualität von eBusiness relevanten Webseiten/-applikationen.

Assessment and permitted materials

Einzel- und Gruppenarbeiten

Minimum requirements and assessment criteria

Mindestanforderung: mind. 50% der Punkte zu den Teilleistungen (Reports, Präsentation, Mitarbeit).

Examination topics

Gruppenspezifisch sowie in Abhängigkeit vom Lehrformat.

Reading list

lt. Info in der Vorbesprechung

Group 2

https://ebusiness.univie.ac.at/teaching/

max. 25 participants
Language: German
LMS: Moodle

Lecturers

Classes (iCal) - next class is marked with N

Attendance in class on 15.11.2021 and 12.11.2021 (presentations of concepts)
Attendance on 14.1.2022 and 28.1.2022 (final presentations)
At the digital appointments two units can be missed.

  • Friday 01.10. 09:45 - 11:15 Digital
  • Friday 08.10. 09:45 - 11:15 Digital
  • Friday 15.10. 09:45 - 11:15 Digital
  • Friday 22.10. 09:45 - 11:15 Digital
  • Friday 29.10. 09:45 - 11:15 Digital
  • Friday 05.11. 09:45 - 11:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 12.11. 09:45 - 11:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 19.11. 09:45 - 11:15 Digital
  • Friday 26.11. 09:45 - 11:15 Digital
  • Friday 03.12. 09:45 - 11:15 Digital
  • Friday 10.12. 09:45 - 11:15 Digital
  • Friday 17.12. 09:45 - 11:15 Digital
  • Friday 07.01. 09:45 - 11:15 Digital
  • Friday 14.01. 09:45 - 11:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 28.01. 09:45 - 11:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Aims, contents and method of the course

Topics like Digital Transformation, Artificial Intelligence, Machine Learning, or Text Analytics are rather broad, encompass different methods, and offer permanently new opportunities for applications in eBusiness. The goal of the course is to deepen the understanding these concepts, learning of possible applications in eBusiness, and knowing how to evaluate the usefulness of the different applications.

https://ebusiness.univie.ac.at/lehre/

Assessment and permitted materials

The achievements of the students are evaluated by participation in discussions, concept development for a chosen topic, presentation of the final report and written paper.
https://ebusiness.univie.ac.at/lehre/

Minimum requirements and assessment criteria

At least 50% of the overall requirements defined by: (Participation in discussions (10%), concept development for the chosen topic (20%), presentation of the topic (30%), and final paper (40%)

https://ebusiness.univie.ac.at/lehre/

Examination topics

No written exam

Reading list

In the first lectures the main topics and selected references are presented.

Association in the course directory

Last modified: Fr 12.05.2023 00:12