AdobeStock.Prostock-studio
Digital Transformation in the Automotive Industry
level of course unit
1. Master cycleLearning outcomes of course unit
The participants:
• know the drivers of the digital transformation (digitalization, industry 4.0, artificial intelligence, autonomous driving, etc.)
• know changing customer needs (e.g. digital lifestyle, car sharing, sustainability) and the resulting challenges
• know the effects of the digital transformation on various stakeholders and can transfer these to their own organization
• can assess and evaluate effects with regard to business management aspects
• can develop strategies for digital business models and value chains
• know the drivers of the digital transformation (digitalization, industry 4.0, artificial intelligence, autonomous driving, etc.)
• know changing customer needs (e.g. digital lifestyle, car sharing, sustainability) and the resulting challenges
• know the effects of the digital transformation on various stakeholders and can transfer these to their own organization
• can assess and evaluate effects with regard to business management aspects
• can develop strategies for digital business models and value chains
prerequisites and co-requisites
none
course contents
• Introduction to digital transformation
• Autonomous driving and artificial intelligence
• Consumer behavior and digital lifestyle
• Digital value chains
• Development of digital transformation and impact on the industry
• Digitalization in management and strategic corporate development
• Autonomous driving and artificial intelligence
• Consumer behavior and digital lifestyle
• Digital value chains
• Development of digital transformation and impact on the industry
• Digitalization in management and strategic corporate development
recommended or required reading
Winkelhake, U. (2021): Die digitale Transformation der Automobilindustrie
Nolting, M. (2021): Künstliche Intelligenz in der Automobilindustrie
Proff, H./ Fojcik, T.M. (Hrsg.) (2018): Mobilität und Digitale Transformation. Technische und betriebswirtschaftliche Aspekte
Gärtner, C./ Heinrich, C. (Hrsg.) (2018): Fallstudien zur Digitalen Transformation. Case Studies für die Lehre und praktische Anwendung
Nolting, M. (2021): Künstliche Intelligenz in der Automobilindustrie
Proff, H./ Fojcik, T.M. (Hrsg.) (2018): Mobilität und Digitale Transformation. Technische und betriebswirtschaftliche Aspekte
Gärtner, C./ Heinrich, C. (Hrsg.) (2018): Fallstudien zur Digitalen Transformation. Case Studies für die Lehre und praktische Anwendung
assessment methods and criteria
Portfolio work
language of instruction
Germannumber of ECTS credits allocated
5course-hours-per-week (chw)
2.5planned learning activities and teaching methods
ILV (Blended Learning, Inverted Classroom)
