Students will learn the structure of a general pattern recognition problem. Classification using Bayes decision theory will be studied during the course. Students will also learn the parametric and non-parametric techniques  of learning the classification models for  samples of a  class of population.  Neural network approach of training classifiers is also included as part of the course. Students will learn to formulate pattern recognition problems by  the end of the course.