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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).

Start Date: Feb 01, 2006 Topics: Artificial Intelligence, Computer Science, Electrical Engineering, General Engineering, Physics
Cost: Free

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Special Seminar in Applied Probability and Stochastic Processes's Full Profile

Overview

Description

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).

Details

  • Dates: Feb 01, 2006 to May 25, 2006
  • Days of the Week: Monday, Tuesday, Wednesday, Thursday, Friday, Saturday, Sunday
  • Level of Difficulty: Beginner
  • Size: Massive Open Online Course
  • Instructors: Prof. Devavrat Shah, Prof. David Gamarnik
  • Cost: Free
  • Institution: MIT OCW
  • Topics: Artificial Intelligence, Computer Science, Electrical Engineering, General Engineering, Physics

Provider Overview

About MIT OCW: MIT OpenCourseWare (OCW) is a web-based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity.

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