Generative AI & Marketing (E)
Niveau
first cycle
Lernergebnisse der Lehrveranstaltungen/des Moduls
This course aims to empower students to navigate a marketing landscape undergoing massive disruption due to generative artificial intelligence (AI). Students will develop:
- Future proof generative AI marketing skills
- Understand current trends and underlying macro developments
Critically reflect on ethics regarding generative AI in marketing
- Future proof generative AI marketing skills
- Understand current trends and underlying macro developments
Critically reflect on ethics regarding generative AI in marketing
Voraussetzungen der Lehrveranstaltung
keine
Lehrinhalte
- Generative AI as a toolbox for Marketers
- Image generation
- Prompting
- Basic understanding of Large Language Models (also reasoning models)
- Gen AI for SEO
- AI Agents
- Video generation
- Image generation
- Prompting
- Basic understanding of Large Language Models (also reasoning models)
- Gen AI for SEO
- AI Agents
- Video generation
Empfohlene Fachliteratur
Arora, N., Chakraborty, I., & Nishimura, Y. (2025). AI–Human Hybrids for Marketing Research: Leveraging Large Language Models (LLMs) as Collaborators. Journal of Marketing, 89(2), 43-70. [not required merely recommended, due to the high pace of Gen AI development recent sources will be taught in an accessible way for undergraduate students]
Bewertungsmethoden und -Kriterien
Written exam and/or presentation
Unterrichtssprache
Englisch
Anzahl der zugewiesenen ECTS-Credits
3
E-Learning Anteil in %
Semesterwochenstunden (SWS)
Geplante Lehr- und Lernmethode
Lecture, group discussions, hands-on usage of tools, presentations
Semester/Trisemester, In dem die Lehrveranstaltung/Das Modul Angeboten wird
1
Studienjahr
Kennzahl der Lehrveranstaltung/des Moduls
Art der Lehrveranstaltung/des Moduls
Art der Lehrveranstaltung
Praktikum/Praktika
-