Courses

This page brings together a curated set of five courses exploring the interplay between random networks and learning. From the foundations of probabilistic graph models to modern approaches in machine learning on networked data, these courses are designed to guide the interested students through both theory and practice.

Course 1: Dieter Mitsche - Discrete Random Graph Models for Networks

Course 2: