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Focuses on modeling, quantification, and analysis of uncertainty byteaching random variables, simple random processes and theirprobability distributions, Markov processes, limit theorems, elementsof statistical inference, and decision making under uncertainty. Thiscourse extends the discrete probability learned in the discrete math class. It focuses on actual applications, and places little emphasison proofs. A problem set based on identifying tumors using MRI(Magnetic Resonance Imaging) is done using Matlab.Added by ruthless on 2007-02-02 13:29:57
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