NME 130

NME 130 is a new class on "information systems" that we are planning.

Participants:

Discussion sessions

Date	Topics	Discussion leaders	Unavailable
15 May (Fri) @ 3 pm, 110 Steele	Optimization Linear programming/duality Optimization and lower bounds, with applications in control Computational complexity? Convex analysis	John, Ben	Nader, Michelle, Tracy, Pablo, Ufuk
20 May (Wed) @ 12 pm	Distributed/networked systems Graph theory Distributed optimization and computation (large scale) Network algorithms (optimization; exploit networked structure) Graphical models	Steven, Javad	Richard (phone?), Nader
28 May (Thu) @ 12 pm	Information theory Method of types, large numbers, AEP Source/channel coding theorem Coding/network coding	Tracey, Michelle	Richard, Ufuk, Nader
3 Jun (Wed) @ 12 pm	Uncertainty Robustness and uncertainty (controls-ish) Bayesian theory, belief propogation Hypothesis testing, inference, decision making	Ufuk, Nader	Richard
16 Jun (Tue) @ 3 pm	Dynamical Systems Stability (including Lyapunov and Nyquist) Specifications (control versus CS) Equivalence and abstraction (simulation, bisimulation, model reduction?) Hybrid systems, automata theory Time delay, time-varying systems	Nader, Andy	Michelle, John, Tracey
19 Jun (Fri) @ 11 am	Graphical models	Andreas	John (phone?)
24 Jun (Wed) @ 4 pm	Synthesis theory Synthesis theory and hardbounds (Bode, Shannon, Carnot, Turing) Bayesian theory, belief propogation Hypothesis testing, inference, decision making Computational complexity Estimation and detection Coding/network coding	TBD
26 Jun (Fri) @ 11 am	Course planning	Richard

2009-10 course plan

Track	Fall	Winter	Spring
Stochastic systems	ACM/EE 116 Random processes	ACM 216	ACM 217 - stochastic calculas CDS 142 - Stochastic System Analysis and Bayesian Updating
Optimization and algorithms		ACM 113 Convex optimization
Information systems
Data-driven modeling	EE 156 CS 155 Will eventually move to second term
ACM	ACM 104/CDS 201 - Linear Algebra and Applied Operator Theory ACM 118 - Methods in Applied Statistics and Data Analysis
CS
CDS	CDS 210a - Control theory State space models, Lyapunov stability Reachability, observability, state space design Frequency domain techniques Fundamental limits and robustness	CDS 110b - Optimization-based control Optimal control theory, trajectory generation, RHC Kalman filtering
EE