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Structures and problems of pattern recognition. Mathematics model of statistical pattern recognition, multivariate probability, Bay's decision theory, maximum likelihood estimation, whitening transformations. Parametric and non-parametric techniques, linear discriminant function, gradient-descent procedure, clustering and unsupervised learning, and feature selection algorithms. (Cross-listed with CSCI 8476).

Prerequisite(s)/Corequisite(s): CSCI 1620 with C- or better, and MATH 2050. Recommended: MATH 4740/8746 or STAT 3800/8805.

Internet Technologies (iT) Concentration for Computer Science Majors

The internet technologies (iT) concentration supplements the Computer Science (CS) curriculum by focusing on the concepts and technologies needed to implement modern web applications. The concentration is designed to supplement the CS core curriculum by introducing the programming aspects as well as the theoretical concepts needed to build the infrastructure for web systems such as search engines, social networking sites, etc. The iT concentration provides extensive hands-on, project-based experience for students.

Computer Engineering, Bachelor of Science

...following list. Computer Science (CSCI) Courses: 4150/8156...Introduction to Artificial Intelligence 4470/8476 Pattern Recognition...