This course deals with fundamental techniques of statistical pattern recognition. Topics cover Bayes decision theory, parametric pdf estimation, non-parametric pdf estimation, feature transformation and selection, linear discriminant function, multi-layer neural networks, unsupervised learning, clustering. (Prerequisite: EE521)