An introduction to Information Geometry and Mathematical Population Genetics

  • Lecturer: Tat Dat Tran
  • Date:  Friday, 15:15 - 16:45
  • Room:  A3 02
  • Language: English
  • Target audience: MSc students, PhD students, Postdocs
  • Keywords: Information Geometry, random genetic drift, mutations, selection, migration, recombination, evolutionary processes
  • Prerequisites: Basic knowledge of calculus, linear algebra, PDE, probability theory and differential geometry


In this course, I will

  • give a brief introduction to Information Geometry and how to apply it in the context of Mathematical Population Genetics
  • give an overview introduction to mathematical models used in population genetics
  • discuss mathematical approaches used in studying such models

Regular Lectures (Winter 2018/2019)

01.04.2019, 12:24