Course book/material:1. Richard O. Duda, Peter E. Hart, David G. Stork, Pattern classification, John Wiley & Sons, 2nd Ed.2. Christopher M. Bishop, Pattern Recognition and Machine Learning, Springer.3. David Barber, Bayesian reasoning and machine learning, Cambridge university press, 2012.4. Related state-of-the-art publications and tutorial materials5. Matlab toolbox for PR.
Home exercises and Exam: Solving several theoretical problems Matlab programs on several selected topics and presentations Written exam: assignment of problem solving and programming tasks.
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