We offer a wide range of graduate level courses in general probability and stochastic processes which together form a comprehensive basis for advanced studies in probability.

The courses are augmented, yearly, by advanced special topic courses, as listed below.

Spring 2024

  • Concentration of measure – Milman
  • Super Processes – Mytnik

Fall 2023

  • Seminar on probability theory in machine learning – Louidor
  • Markov chain mixing – Procaccia
  • Stochastic Processes – Mytnik
  • Advanced Probability – Crawford


Selection of courses from previous semesters