AI in strategic management
Niveau
1. Zyklus Master
Learning outcomes of the courses/module
The participants:
• have a basic understanding of Generative AI and LLM and can assess how Generative AI works.
• can identify potential areas of application for Generative AI in strategic management.
• have basic knowledge of different generative models and can assess their areas of application and functionality.
• are aware of the ethical aspects of dealing with generative models and are able to reflect on the potential effects of their application.
• are able to identify various possible applications of generative AI in strategic management.
• develop an understanding of how generative models enable efficiency increases and innovation potential in companies.
• are able to assess which (management) tasks in companies can be automated using Generative AI.
• understand how Generative AI can be used to improve customer interaction and personalization.
• have a basic understanding of Generative AI and LLM and can assess how Generative AI works.
• can identify potential areas of application for Generative AI in strategic management.
• have basic knowledge of different generative models and can assess their areas of application and functionality.
• are aware of the ethical aspects of dealing with generative models and are able to reflect on the potential effects of their application.
• are able to identify various possible applications of generative AI in strategic management.
• develop an understanding of how generative models enable efficiency increases and innovation potential in companies.
• are able to assess which (management) tasks in companies can be automated using Generative AI.
• understand how Generative AI can be used to improve customer interaction and personalization.
Prerequisites for the course
none
Course content
• Überblick über Generative KI und ihre Anwendungsbereiche
• Einführung in Large Language Models (LLM)
• Anwendung von Generativen KI-Modellen in der Bild- und Textgenerierung
• Ethische Überlegungen im Umgang mit Generativen Modellen
• Automatisierung von (Management-)Aufgaben und Geschäftsprozessen
• Kundeninteraktion und Personalisierung
• Prognosen und Analytik zur Nutzung von KI im strategischen Management
• Einführung in Large Language Models (LLM)
• Anwendung von Generativen KI-Modellen in der Bild- und Textgenerierung
• Ethische Überlegungen im Umgang mit Generativen Modellen
• Automatisierung von (Management-)Aufgaben und Geschäftsprozessen
• Kundeninteraktion und Personalisierung
• Prognosen und Analytik zur Nutzung von KI im strategischen Management
Recommended specialist literature
• Foster, D. (2019): Generative Deep Learning: Teaching Machines to Paint, Write, Compose, and Play
• Goodfellow, I., Bengio, Y., Courville A. (2016): Deep Learning
• Teik Toe, T., Yu Jin, G. (2023): Artificial Intelligence in Business Management
• Goodfellow, I., Bengio, Y., Courville A. (2016): Deep Learning
• Teik Toe, T., Yu Jin, G. (2023): Artificial Intelligence in Business Management
Assessment methods and criteria
Portfolio
Language
German
Number of ECTS credits awarded
6
Share of e-learning in %
35
Semester hours per week
3.0
Planned teaching and learning method
ILV
Semester/trimester in which the course/module is offered
1
Name of lecturer
-
Academic year
Key figure of the course/module
4_KI
Type of course/module
integrated lecture
Type of course
Compulsory