This course offered to the students interested in learning the basics, types and applications of Pattern Recognition and Neural Networks in the space of Medical Electronics
Course Outcomes
CO1: Understand the basics of Pattern Recognition and basics of Probability
CO2:Understand the different types of Supervised Learning
CO3: Understand the different types of Unsupervised Learning
CO4: Understand the basic Concepts of Neural Networks and Single as well as Multilayer Perceptron
CO5: Formulate an experiment from the preceding COs, perform an open ended experiment and present the same with suitable documentation in groups.