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