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Course Descriptions

Electrical Engineering (EE) is a professional engineering discipline that deals with the study and application of electricity, electronics and electromagnetism. Common EE tasks include designing communication systems, energy conversion and power delivery, control systems applications, design of analog and digital systems, and others.

ECE 583 - Pattern Recognition

  • Credit Hours: 3R-3L-4C
  • Term Available: S
  • Graduate Studies Eligible: No
  • Prerequisites: with a grade of B or better, or consent of instructor, or graduate standing
  • Corequisites: None

Bayesian decision theory, parameter estimation, non-parametric techniques, linear discriminant functions, supervised learning, unsupervised learning and clustering, artificial neural networks, ensemble classifiers.

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