Digital Transformation & Artificial Intelligence 2: Management & Application
Niveau
Second cycle, master's
Learning outcomes of the courses/module
The participants:
• can identify digital and data-driven business models.
• can identify methods and concepts for integrating digital technologies and AI.
• can identify and analyze specific fields of application.
• are able to apply methods and concepts for shaping digital transformation processes.
• can identify digital and data-driven business models.
• can identify methods and concepts for integrating digital technologies and AI.
• can identify and analyze specific fields of application.
• are able to apply methods and concepts for shaping digital transformation processes.
Prerequisites for the course
none
Course content
• Overview of digital and data-driven business models
• Management in the digital age
• Use of digital tools and AI in business processes
• Change management and digital leadership skills
• Digital leadership
• Management in the digital age
• Use of digital tools and AI in business processes
• Change management and digital leadership skills
• Digital leadership
Recommended specialist literature
• Machado, C., & Davim, J. P.: Management for Digital Transformation CRC Press (latest edition)
• 1-2 aktuelle Aufsätze aus Fachzeitschriften
• 1-2 aktuelle Aufsätze aus Fachzeitschriften
Assessment methods and criteria
Portfolio assessment
Language
English
Number of ECTS credits awarded
3
Semester hours per week
Planned teaching and learning method
Blended Learning
Semester/trimester in which the course/module is offered
2