Special seminar in applied probability and stochastic processes

Lectures: 1 session / week, 2 hours / session

This is a doctoral student seminar covering current topics in applied probability. For the offering of Spring 2006, the topics covered will be at the interface of statistical physics (replica symmetry breaking and spin glasses), probability (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).

The course requires knowledge of optimization, probability and algorithms. A basic course on probability (6.041/6.431) is necessary. An advanced graduate course in probability (6.436J/15.085J) will be very useful.

The course will meet once every week for two hours where students will do presentations. There will not be any exams or homework. The grade of the student will be based on the presentations and class participation.

Don't show me this again

This is one of over 2,200 courses on OCW. Find materials for this course in the pages linked along the left.

MIT OpenCourseWare is a free & open publication of material from thousands of MIT courses, covering the entire MIT curriculum.

No enrollment or registration. Freely browse and use OCW materials at your own pace. There's no signup, and no start or end dates.

Knowledge is your reward. Use OCW to guide your own life-long learning, or to teach others. We don't offer credit or certification for using OCW.

Made for sharing. Download files for later. Send to friends and colleagues. Modify, remix, and reuse (just remember to cite OCW as the source.)

Learn more at Get Started with MIT OpenCourseWare