Digital Transformation & Artificial Intelligence I: Organizations & Environment
Niveau
2. Study cycle, Master
Learning outcomes of the courses/module
The students:
• know basic terms and concepts of digitization.
• can put digitization in a context with classical business-related management topics (strategy, HRM, marketing, etc.)
• understand the digital change of industries and companies.
• are capable of analysis and idea generation for digital tasks.
• know basic terms and concepts of digitization.
• can put digitization in a context with classical business-related management topics (strategy, HRM, marketing, etc.)
• understand the digital change of industries and companies.
• are capable of analysis and idea generation for digital tasks.
Prerequisites for the course
none
Course content
• Fundamentals and basic concepts of digitization
• Digitization in the context of business administration in connection with theories and approaches
• Influence of digitization on markets, industries, companies and business areas
• Processing of case studies and current examples from business practice
• Digitization in the context of business administration in connection with theories and approaches
• Influence of digitization on markets, industries, companies and business areas
• Processing of case studies and current examples from business practice
Recommended specialist literature
• Gupta, Sunil: Driving Digital Strategy. HBR Press (in the current edition)
• Rogers, David L.: The Digital Transformation Playbook. CUP (in the current edition)
• 1-2 current articles from professional journals
• Rogers, David L.: The Digital Transformation Playbook. CUP (in the current edition)
• 1-2 current articles from professional journals
Assessment methods and criteria
Online tasks
Language
English
Number of ECTS credits awarded
4
Share of e-learning in %
25
Semester hours per week
2.0
Planned teaching and learning method
Blended Learning
Semester/trimester in which the course/module is offered
1
Name of lecturer
Prof. (FH) Dr. Peter Dietrich
Academic year
Key figure of the course/module
02.MV.ABS.1
Type of course/module
integrated lecture
Type of course
Compulsory
Internship(s)
none