ECEN 446: Information Theory, Inference and Learning Algorithms

Course Description

Credits 3.
3 Lecture Hours.Basic concepts and techniques on data compression, error control codes, and information theoretic measures; basic concepts and techniques in statistical inference such as clustering, maximum likelihood, exact marginalization, Monte Carlo methods, importance sampling, and Markov chain Monte Carlo; introduction to neuron and neural networks; support vector machines.Prerequisites:Grade of C or better inMATH 311; grade of C or better inECEN 303orSTAT 211; junior or senior classification.