Modul
Service Management [M-WIWI-101448]
Credits
9Recurrence
Jedes SemesterDuration
1 SemesterLanguage
German/EnglishLevel
4Version
11Responsible
Organisation
- KIT-Fakultät für Wirtschaftswissenschaften
Part of
Bricks
Identifier | Name | LP |
---|---|---|
T-WIWI-111219 | Artificial Intelligence in Service Systems - Applications in Computer Vision | 4.5 |
T-WIWI-110280 | Digital Services: Business Models and Transformation | 4.5 |
T-WIWI-112757 | Digital Services: Innovation & Business Models | 4.5 |
T-WIWI-102899 | Modeling and Analyzing Consumer Behavior with R | 4.5 |
T-WIWI-105778 | Service Analytics A | 4.5 |
T-WIWI-102822 | Industrial Services | 4.5 |
T-WIWI-106201 | Digital Transformation of Organizations | 4.5 |
T-WIWI-102641 | Service Innovation | 4.5 |
T-WIWI-108715 | Artificial Intelligence in Service Systems | 4.5 |
Competence Certificate
The assessment is carried out as partial exams, whose sum of credits must meet the minimum requirement of credits of this module. The assessment procedures are described for each course of the module separately.
The overall grade of the module is the average of the grades for each course weighted by the credits and truncated after the first decimal.
Competence Goal
The students
- understand the basics of developing and managing IT-based services,
- understand and apply OR methods in service management,
- systematically use vast amounts of available data for planning, operation, personalization and improvement of complex service offerings, and
- understand and analyze innovation processes in corporations.
Content
The module service management addresses the basics of developing and managing IT-based services. The lectures contained in this module teach the basics of developing and managing IT-based services and the application of OR methods in the field of service management. Moreover, students learn to systematically analyze vast amounts of data for planning, operation and improvement for complex service offerings. These tools enhance operational and strategic decision support and help to analyze and understand the overall innovation processes in corporations. Current examples from research and industry demonstrate the relevance of the topics discussed in this module.
Recommendation
None
Workload
The total workload for this module is approximately 270 hours. For further information see German version.