In Fall 2007 I am co-teaching Stat 316 (with Amir Dembo)
	Stochastic Processes on Graphs.
	We will study probabilistic models for large systems of discrete variables interacting according to general graphs. Local weak convergence, Gibbs measures on trees, cavity method and replica symmetry breaking. Examples include: random k-satisfiability, the assignment problem, spin glasses, neural networks.
	In Winter 2008 I teach EE388
	Modern Coding Theory.
	This is an introduction to the fundamental tools for analysis and optimization of iterative coding systems. LDPC codes, Turbo codes, RA codes, Optimized ensembles, message passing algorithms, density evolution, analytic techniques.
	In Winter 2008 I am also co-teaching Stat 350 (with Amir Dembo)
	Probabilistic Concepts in Statistical Physics and Information Theory.
	Concentration of measure techniques. Mean field models for disordered systems: infinite size limit, computing the free energy, ultrametricity, dynamics. Interpolation techniques and infinite size limit in information theory and coding.
	Winter 2007, EE374: Inference in Graphical Models.
	Spring 2007, Stat218: Introduction to Stochastic Processes.
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