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Marketing Mobility with Generative AI

MGT001384Specialization in Management3 ECTSEnglishProfessur für Digital Marketing (Prof. Hartmann)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

In this module you engage with digital marketing for mobility offers, in particular with the use of generative AI to create social media content. By the end you will be able to make data-driven decisions in the social media context, create AI-assisted marketing content, and develop an end-to-end marketing strategy for an innovative mobility concept.

What you will be able to do

  • make data-driven decisions in the social media context
  • apply various methods including generative AI to synthesize artificial social media content
  • evaluate different mobility modes
  • develop an end-to-end marketing strategy for an innovative mobility concept

What the module consists of

  • BlockvorlesungIntroductory presentation on social media marketing and trends in sustainable urban mobility
  • ExkursionVisit to an industry partner for data collection and as background for the case study project
  • Fallstudien / GruppenarbeitDevelopment of a practical case study with presentation and discussion of results

Teaching method

  • SeminarformInteractive discussions, practical relevance and research-based teaching
  • Gruppenprojekte / Case StudiesApplication of learned material in real-world practice cases
  • ExkursionData collection and insight into industrial practice
  • Codebeispiele (R und Python)Practical demonstration and implementation of analyses
  • Remote und Präsenz‑CoachingSupport for project work and deepening

Dates

SeminarMarketing Mobility with Generative AI (MGT001384, englisch) (limited places)6 groups to choose from

  • ATue09:00–18:00Ort/Zeit nicht bekanntonce on 27.10.
  • BThu09:00–18:00Ort/Zeit nicht bekanntonce on 28.01.
  • CThu15:00–19:00Online: Videokonferenzonce on 26.11.
  • DThu16:00–16:45Online: Videokonferenzonce on 15.10.
  • EWed09:00–10:00Ort/Zeit nicht bekanntonce on 28.10.
  • FWed11:15–18:00Ort/Zeit nicht bekanntonce on 28.10.

From the current semester, not binding. You attend one of several groups; the timetable automatically suggests the one with the fewest clashes.

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Official page in TUMonline · Details are not binding.