040191 UE Applications of eBusiness and eLogistics (MA) (2022S)
Business Analytics
Continuous assessment of course work
Labels
MIXED
Summary
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 is open from Mo 07.02.2022 09:00 to Mo 21.02.2022 23:59
- Registration is open from Th 24.02.2022 09:00 to Fr 25.02.2022 23:59
- Deregistration possible until Mo 14.03.2022 23:59
Registration information is available for each group.
Groups
Group 1
max. 25 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 03.03. 18:30 - 20:00 Digital
- Thursday 10.03. 18:30 - 20:00 Digital
- Thursday 17.03. 18:30 - 20:00 Digital
- Thursday 24.03. 18:30 - 20:00 Digital
- Thursday 31.03. 18:30 - 20:00 Digital
- Thursday 07.04. 18:30 - 20:00 Digital
- Thursday 28.04. 18:30 - 20:00 Digital
- Thursday 05.05. 18:30 - 20:00 Digital
- Thursday 12.05. 18:30 - 20:00 Digital
- Thursday 19.05. 18:30 - 20:00 Digital
- Thursday 02.06. 18:30 - 20:00 Digital
- Thursday 09.06. 18:30 - 20:00 Digital
- Thursday 23.06. 18:30 - 20:00 Digital
- Thursday 30.06. 18:30 - 20:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Aims, contents and method of the course
In der Lehrveranstaltung "Applications of eBusiness and eLogistics - Gruppe 1" 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
Erstellung von Reports, Präsentation, Mitarbeit
Minimum requirements and assessment criteria
Mindestanforderung: mind. 50% der Punkte zu den Teilleistungen (Reports, Präsentation, Mitarbeit).
Examination topics
lt. Vorbesprechung (prüfungsimmanente LV)
Reading list
lt. Info in der Vorbesprechung
Group 2
max. 25 participants
Language: German
LMS: Moodle
Lecturers
Classes (iCal) - next class is marked with N
- Friday 04.03. 09:45 - 11:15 Digital
- Friday 18.03. 09:45 - 11:15 Digital
- Friday 25.03. 09:45 - 11:15 Digital
- Friday 01.04. 09:45 - 11:15 Digital
- Friday 08.04. 09:45 - 11:15 Digital
- Friday 29.04. 09:45 - 11:15 Digital
- Friday 06.05. 09:45 - 11:15 Digital
- Friday 13.05. 09:45 - 11:15 Digital
- Friday 20.05. 09:45 - 11:15 Digital
- Friday 27.05. 09:45 - 11:15 Digital
- Friday 03.06. 09:45 - 11:15 Digital
- Friday 10.06. 09:45 - 11:15 Digital
- Friday 17.06. 09:45 - 11:15 Digital
- Friday 24.06. 09:45 - 11:15 Digital
Aims, contents and method of the course
Digital Transformation, Artificial Intelligence, Machine Learning, or Text Analytics encompass a broad spectrum of methods, based on different concepts. Hence, it is not surprising that there exist many different definitions and new technologies open new applications in eBusiness.
The goal of the lecture is the development of a deeper understanding for some of the methods, which helps in the evaluation of applications of such methods from an economic and social perspective.
In the first units some topics are introduced and different aspects in the applications are discussed.
The goal of the lecture is the development of a deeper understanding for some of the methods, which helps in the evaluation of applications of such methods from an economic and social perspective.
In the first units some topics are introduced and different aspects in the applications are discussed.
Assessment and permitted materials
Continuous assessment, Concept for a specific topic, online presentation, coursework. (https://ebusiness.univie.ac.at/lehre/)
Minimum requirements and assessment criteria
Participation at the Online-meetings
Presentation of a concept
Presentation of the final report
coursework
Presentation of a concept
Presentation of the final report
coursework
Examination topics
Continuous assessment
Reading list
If necessary, references as a starting point will be provided
(https://ebusiness.univie.ac.at/lehre/H
(https://ebusiness.univie.ac.at/lehre/H
Association in the course directory
Last modified: Th 11.05.2023 11:27