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Pattern Recognition

402342 - Pattern Recognition
Faculty

Faculty of Information Technology

Department

Data Science and AI

Credit Hours

3

Pre-requisite

401313

Co-requisite

-

Distribution

3 + 0
This course examines statistical pattern recognition approaches, technologies, and algorithms from several perspectives. The topic of this course includes feature extraction, Bayesian decision theory, support vector machine, nearest-neighbor rules, nonparametric techniques, neural networks, syntactic pattern recognition techniques, and clustering algorithm. The students will have practical experience in constructing pattern recognition by solving programming assignments and proposing a project that relates to this topic.