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Branching Random Walks

CIT413035Elective Modules3 ECTSEnglishUnregelmäßigDepartment Mathematics
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn the basics and advanced aspects of branching random walks. In the end you will know the classical theory of branching processes and Galton‑Watson trees as well as the connections to partial differential equations and relevant application areas.

What you will be able to do

  • Understand classical theory of branching random walks
  • Know branching processes and Galton‑Watson trees
  • Recognize connections to partial differential equations

What the module consists of

  • LectureConveying theoretical content and demonstrative examples; discussion with students

Teaching method

  • Frontal lecture with discussionfor presenting the content, illustrating with examples and promoting independent engagement with the literature
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Official page in TUMonline · Details are not binding.