Digital Transformation in the Automotive Industry
Niveau
1. Master cycle
Learning outcomes of the courses/module
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
• understand the basic principles and techniques of cybersecurity and can apply them to different digital environments
• are able to develop IoT strategies and plan and monitor their implementation in business processes
• 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
• understand the basic principles and techniques of cybersecurity and can apply them to different digital environments
• are able to develop IoT strategies and plan and monitor their implementation in business processes
Prerequisites for the course
none
Course content
• 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
• Cybersecurity and data protection
• Internet of Things (IoT) and networked devices
• 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
• Cybersecurity and data protection
• Internet of Things (IoT) and networked devices
Recommended specialist literature
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
German
Number of ECTS credits awarded
6
Semester hours per week
3.0
Planned teaching and learning method
ILV (Blended Learning, Inverted Classroom)
Semester/trimester in which the course/module is offered
3
Type of course/module
integrated lecture
Type of course
Compulsory