This
course covers pattern recognition essentials with topics that are suitable for
undergraduate levels in computer science and most engineering specialties. It
covers wide understanding of different related topics, i.e., pattern recognition
systems, preprocessing and feature extraction, theories of supervised and
unsupervised learning, object classification and recognition, artificial neural
networks, and other topics as well.