Special Seminar in Applied Probability and Stochastic Processes

This seminar is intended for doctoral students and discusses topics in applied probability. This semester includes a variety of fields, namely statistical physics (local weak convergence and correlation decay), artificial intelligence (belief propagation algorithms), computer science (random K-SAT problem, coloring, average case complexity) and electrical engineering (low density parity check (LDPC) codes). Level: Advanced. Free course materials from MIT OpenCourseWare including lecture notes, assignments, and exams.