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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

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

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

-