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The goal of this section is to provide materials to support the developement and delivery of courses in Pattern Recognition and related fields (content from "Students/Researchers" section is also relevant). The materials broken down into the five main subject areas: Symbolic Pattern Recognition, Statistical Pattern Recognition, Machine Learning, 1D Signal Analysis and 2D Image Analysis, Computer Vision. We provide three types of materials:

  1. Sample curricula - a model syllabus for beginning and more advanced courses of different lengths.
  2. Teaching materials - online written course notes, lecture slides, reading lists and coursework.
  3. Survey of existing courses - examples of courses in the five subareas of pattern recognition.

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