ECE-272A (Dynamical Systems Under Uncertainty)

Fall 2013

 
 



From high stake stock trading to safely driving to simply figuring out your shopping list for the month, the daily life is filled with situations in which we handle, manage, or control our assets, driving, and actions in face of various forms of uncertainty. In this course, we consider a (Baysian and) Markovian model of such systems. We first start with the simple analysis of discrete time Markovian processes with countable state space, also known as Markov chains, and then proceed to the topics of control and estimation.


For more information see course syllabus: .pdf

 

Dynamical Systems Under Uncertainty

Credit: 4 Units

Time: TTH 3:30-4:50pm

Location:  HSS 2305A

Instructor: Professor T. Javidi

    Office: EBU1 6405,

    email: tjavidi at ucsd dot edu

    Office Hours: TTH 10am-11:30am