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650./550. Pattern Recognition Using Artificial Intelligence (3)

• Prerequisite: CECS 451 or consent of instructor. (Master’s students register in CECS 550; Ph.D. students register in CECS 650.)
• General concepts of pattern recognition and trainable classifiers, decision theory, supervised learning, non-parametric techniques, rule-based systems and neural networks.
• Additional projects required for Ph.D. students. (Lecture-problems 2 hours, laboratory 3 hours.) Letter grade only (A-F).

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