​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.